Should Corporate Boards Include AI systems - Legal And Ethical Implications Of Algorithmic Board Members

Author: LawSphereX

Category: Corporate & Insolvency

Published: 2026-08-23T21:05:34.682328+00:00

Updated: 2026-08-26T17:06:18.803+00:00

SHOULD CORPORATE BOARDS INCLUDE AI SYSTEMS?

LEGAL AND ETHICAL IMPLICATIONS OF ALGORITHMIC

BOARD MEMBERS

Isha Taneja, LL.M., Symbiosis International University, Pune

ABSTRACT

The application of artificial intelligence (AI) in corporate governance, particularly in terms of being a board member, is a new and complicated challenge at the juncture of law, ethics, and technology. This research paper considers the legal and ethical implications of using AI systems as corporate board members. It recognizes current literature, reviews legal structures, and considers case studies in which AI has already been used as a part of a board. The paper attempts to assess whether AI is capable of being effective board members and what challenges exist. The research demonstrates that in various jurisdictions, the legal structure does not allow AI to take on a director position, as those legal frameworks state that positions of directors can only be held by natural persons.

Further, using AI as a board member raises ethical issues about bias, responsibility, and the inability of AI to replace human judgment in decision making in governance. This paper concludes that AI has tremendous potential to improve how decisions are made, but considerable legal changes and ethical positions will need to be taken to implement the use of AI on corporate boards. The conclusion recommends developing new legal categories of AI participation, creating ethical standards for AI use in governance, and establishing necessary research for the implications of AI serving on boards. Keywords: Artificial Intelligence, Corporate Governance, Board of Directors, Legal Frameworks, Ethical Implications

INTRODUCTION

Artificial intelligence (AI) is advancing rapidly in different industries, with corporate governance being just one area. In a few examples (e. g. Deep Knowledge Ventures (Hong Kong), International Holding Company (UAE)), AI can now serve as corporate board member, not just as advisors or observers. This raises many important questions about the legal and ethical implications of this evolution. The purpose of this paper is to explore whether corporate boards should appoint AI systems as board members and what the legal and ethical implications of this may be. This paper will first examine where AI is currently in corporate governance by presenting examples of AI being appointed as board members or observers, and by outlining the legal parameters of corporate boards in different jurisdictions to assess whether the legal framework permits for AI to serve as a board member.

The ethical considerations of AI as board members will be considered thereafter. Issues such as bias in AI decision-making, accountability, and the extent to which human judgement can be included into decisions made in governance roles are some of the ethical dimensions that will be examined. The first draw here will be a set of challenges and opportunities for AI and corporate boards, as well as context of the question of including AI. The research question for this project is: "should AI systems be included as members of corporate boards and what are the legal and ethical implications of such an action? " To answer the primary research question the paper will consider the following sub-questions. This might make the path easier for conversation and necessary potential future developments in law and ethics as the role of AI is continuing to evolve in the world.

METHODOLOGY

This paper uses a qualitative methodology, mainly through a literature review of academic articles, legal reports, and reports from corporate governance studies.

RESEARCH GAP

While there has been literature on the use of AI with respect to corporations, the subject of AI having a formal role as corporate board members has not been fully explored. Much of the literature emphasizes AI as it relates to operational or strategy-based decisions by companies, but lacks sufficient consideration of the legal aspects as well as ethical implications of AI having a particular legal role on a corporate board of directors. This study begins to fill that gap as it seeks to provide a detailed analysis of the legal and ethical questions of having AI as

acting members of corporate boards, in order to provide a more nuanced understanding of the potential aspects of AI having a corporate governance role on a board of directors.

OBJECTIVES

1. To consider the current legal implications of appointing AI as a corporate board

member.

2. To analyze the ethical implications of putting AI into the boardroom, i.e. bias,

accountability and human decision-making.

3. To give case studies/real life examples of AI on corporate boards, and possible lessons

from those cases.

4. To present options for legal and ethical frameworks that could develop an expectation

for AI to be put onto corporate boards.

HYPOTHESIS

Although AI as a corporate board member would be legally challenging under existing law in most jurisdictions, the ethical dilemma also is complicated by considerations about bias, accountability, and the irreplaceable traits of human judgement as it relates to governance. As such, new legal and ethical criteria will be necessary to create effective governance of AI's engagement as a corporate board member.

RESEARCH QUESTIONS

1. Can AI be legally appointed to a corporate board under current laws in the major

jurisdictions

2. What ethical issues arise when findings made by AI are considered part of the corporate

decision-making process by the board?

3. How can fiduciary duties be ascribed to AI, and who will hold liability for AI's actions

or decisions?

4. What benefits and risks accompany AI having a corporate board seat?

5. Are there existing models or frameworks that sufficiently or appropriately repurpose

AI into board member?

CURRENT STATE OF AI IN CORPORATE GOVERNANCE IN INDIA

Artificial intelligence (AI) is transforming sectors, and corporate boards look to exploit AI opportunities in governance. Despite AI's increasing role, as of May 2025, only a handful of companies have appointed AI systems as corporate board members, and AI's relationship as a member of a corporate board of directors is just beginning to take hopes. The current status of AI in corporate governance, including trends in how companies have integrated AI technologies into corporate governance, benefits, challenges, and legal and ethical considerations, and forthcoming concepts. Although AI's role in corporate governance is evolving and expanding, using AI as a full-blown aboard member remains rare.

AI has started to emerge as an element in corporate governance in India many companies are already using AI for advisory purposes through data mining and data analysis, risk profiling, and improvements in strategic planning. Nevertheless, using AI's role as an executive board member or member of a board of directors remains primitive, as it has not been adopted at any of the levels described above for consideration or implementation beyond understanding. 1 This lack of acceptance is occurring primarily due to regulatory and legal uncertainties but also the nature of AI in India. India is rapidly positioning itself as a significant player in the global arena of AI with initiatives such as the India AI mission and the National Strategy for Artificial Intelligence by the Ministry of Electronics and Information Technology (MeitY) and NITI Aayog, respectively.

These are key initiatives developed to help integrate AI as part of the economic and social development process in India, projecting that by 2025 AI's contribution to India's GDP would have climbed to $500 billion. 2 Yet, the governance of AI in the scope of corporate governance is challenging due to a lack of appropriate legislation to assist in regulating AI, and how to align the future of AI policies and regulation with existing laws and regulations. 1 AI for India 2030: Blueprint for Inclusive Growth, available at: https://www. weforum. org/stories/2025/01/aifor-india-2030-blueprint-inclusive-growth-global-leadership/ (Last visited on 22 May 2025) 2 Navigating The Legal Implications of Artificial Intelligence in Corporate Governance, available at: Navigating The Legal Implications of Artificial Intelligence in Corporate Governance) https://www. mondaq.

com/india/corporate-governance/1594024/navigating-the-legal-implications-of-artificialintelligence-in-corporate-governance (Last visited on 22 May 2025)

The use of AI applications in corporate governance offers various potential benefits to the company, including pattern recognition, improved efficiency, reduced bias from human input, and support for reasoning and insights based on data. For example, AI applications can analyses real-time data, and in some cases very large data sets, and board members benefit from AI that offers improved insight and analytics when considering decisions. But without any regulatory guidelines that indicate how a company should comply with the law to mitigate a reputational risk, it creates uncertainties that led to reluctance on the company's part to quickly adopt AI as part of a corporate governance framework.

The Government of India is in the process of developing a regulatory framework for AI, and regulations intended to be in force by August 2025, would serve to develop clarity for its corporate governance applications. This research paper focuses exclusively on the introductory context and the legal status as it relates to how AI is presently meeting certain governance functionary under the umbrella of "corporate governance" in India for 2025. The goal of this paper is to report comprehensively on how Indian corporate aim to adopt AI within the parameters of the corporate governance structures and the laws applicable to that adoption. Utilizing recent reports and legal articles, this paper demonstrates the opportunities and challenges of using AI in the corporate governance sector in India.

At this time, India does not have an effective piece of legislation that governs the use of AI within the context of corporate governance. These AI applications will generally be governed by existing laws within the broader regulatory framework that recognizes the regulation of data protection, cybersecurity, and corporate governance rules, that indirectly applies to AIs activities within a corporate context. Ultimately, there are insufficient legal resources for a company that wants to thoughtfully consider AI technology as a key component of its corporate governance regime. 3

KEY LEGAL FRAMEWORKS

As per the context of the use of AI in corporate governance in India, the following regulatory regimes are most applicable: • Digital Personal Data Protection Act, 2023 (DPDP Act): DPDP act provides a baseline requirement for AI applications where personal data is collected and processed as is typical in corporate governance use cases such as employee analytics or customer data analysis. The

3 India’s Advance on AI Regulation | Carnegie Endowment, available at:

https://carnegieendowment.org/research/2024/11/indias-advance-on-ai-regulation?lang=en (Last visited on 22 May 2025)

DPDP act requires entities to obtain express consent from employees, beforehand and only afterwards, will the AI be abused to process the employees personal data. 4 The DPDP must be able to demonstrate that the knowledge and practice of confidentiality, integrity and availability representing thresholds contained under the DPDP act can reasonably provide some level of assurance that the likelihood of breach or use of the employees personal data for anything other than as intended is unlikely. 5 The DPDP vests authority in the form of a Data Protection Board (DPB) which has the ability to impose fines and penalties, which means entities are required to adhere to all provisions specified in the DPDP act or be subject to potentially significant financial penalties.

• Information Technology Act, 2000 (IT Act): The IT Act exists as a framework for legal matters relating to cybersecurity and breaches such as unauthorized login information. If an AI system that has corporate governance applications is considering or using any sensitive financial or strategic information, the AI must comply with IT Act cybersecurity requirements. • Consumer Protection Laws: There are Consumer Protection laws applicable to some sectors where AI is used to drive decisions that directly affect consumers (i. e. banking, insurance, customer service, etc). The laws on Consumer Protection extends to establishing liability for companies for injuries because of defective or prejudiced AI.

Hypothetically, if there was a lending decision made by an AI, and the lending decision was made in part because of an arbitrary bias in the algorithm, and a customer felt they were discriminated against based on the lending decision (i. e. they were denied), the company could be subject to liability under the consumer protection law. 6 • Companies Act, 2013: The Companies Act, 2013 is the primary legislation regarding corporate governance in India. According to definition Section 2(34), a director is any person who has been appointed to the Board of a company; however, it is made clear that directors are natural persons. Accordingly, AI cannot be appointed to the board or obtain a Director

4 India’s Advance on AI Regulation | Carnegie Endowment, available at:

https://carnegieendowment.org/research/2024/11/indias-advance-on-ai-regulation?lang=en (Last visited on 22 May 2025) 5 Navigating The Legal Implications of Artificial Intelligence in Corporate Governance, available at: https://www.mondaq.com/india/corporate-governance/1594024/navigating-the-legal-implications-of-artificialintelligence-in-corporate-governance (Last visited on 22 May 2025) 6 Corporate Boards And Decision Making: Impact Of AI, available at: https://www.mondaq.com/india/newtechnology/1410678/corporate-boards-and-decision-making-impact-of-artificial-intelligence-ai (Last visited on

22 May 2025)

Identification Number (DIN), which is required of directors. AI can be used in corporate activities by providing a company executive with advisory support, if set out in the company's Articles of Association and overseen by a human decision maker. The Indian government is actively setting up an AI regulatory regime and governance framework in the understanding of the promise and peril of AI. The Ministry of Electronics and Information Technology (MeitY) is leading the work as a point of principal; the Office of the Principal Scientific Advisor is providing overall strategy. An Advisory Group of multi-stakeholder representation, led by the Principal Scientific Advisor has been formed for an AI for India-Specific Regulatory Framework.

7 A Subcommittee on AI Governance and Guidelines Development published a report for consultation, with the aim of creating a trustworthy, responsible and accountable AI ecosystem. The [State of AI Governance, 2024 report - Takshashila Institution] presents that new AI governance rules including component on corporate applications are anticipated from August 2025. 8 This rule will likely include areas such transparency, accountability and risk management, all important to how AI might be governed in the corporate environment.

The report indicates that India is opting for a light-touch regulatory environment for safety, innovation and to limit harmful usage The Carnegie Endowment for International Peace report - that India's present situation is pro-innovation, deferring comprehensive AI law planned for the time being as of November 2024, and looking at amending the Information Technology Act, 2000 to deal with AI's algorithmic discrimination and non-transparency, as specific risks. This report mentions a risk-based model focusing on high-risk AI applications e. g. , in finance and critical infrastructure would impact how boards manage risk in accordance with corporate governance guidelines.

THE ADVANTAGES OF INTEGRATING AI SYSTEMS INTO CORPORATE

BOARDS

In the ever-changing world of corporate governance, artificial intelligence (AI) has emerged as a game-changing tool with the potential to change the way boards of directors function. As companies face increasingly complex global markets, regulatory regimes, and technological change, the benefits of incorporating AI systems into corporate boards are compelling. This article focuses solely on the positive benefits of AI integration into corporate board activity, State of

AI

Governance, — The Takshashila Institution, available at: https://takshashila.org.in/research/state-of-ai-governance (Last visited on 22 May 2025) 8 Report on AI Governance Guidelines Development, available at: https://indiaai.gov.in/article/report-on-aigovernance-guidelines-development (Last visited on 22 May 2025)

and provides a thorough discussion on the many ways in which AI can improve decisionmaking, efficiency, risk management, compliance, accountability, and innovation. The article highlights the key content and draws conclusions from various reputable references to support the case for algorithmic board members, and all points are referenced.

1. Enhanced Decision-Making Capabilities9

Perhaps the most significant benefit of AI as part of a corporate board is the ability to improve the overall decision-making process. Corporate boards are expected to make big decisions in a number of areas ranging from strategies to finances. AI speeds up and analyzes large amounts of data at a speed that is unrivalled by a human brain. This means boards can become better and faster decision-makers. AI can scan and understand a lot of information or data at once, including financial documents, market analysis, customer portfolios or trends, and measurements and figures from units of production, which can take humans much longer to analyze. 10 This means boards can now utilize up-to-date and complete information thus removing the issues with the human brain that will make decisions on partial data or old information.

11AI can analyze live market information and identify trends, enabling boards to identify whether a consumer demand will increase or decrease, or whether the competitive landscape has changed and to what extent. AI can make compelling observations about competitors’ tactics, strategies, positions, and performance. 12 AI is also a mechanism for continually scanning and monitoring existing industry trends and competitors’ movements, which gives boards a small competitive advantage, and assist boards in making decisions based on strategy development that is proactive and not reactive.

With respect to strategic development and planning, the ability of AI to scan situations and determine if a particular opportunity is worth pursuing, as well as being able to predict if a market will trend away from a product offered by an organization, provides boards with better and more timely decisionmaking capabilities. Similarly AI can evaluate possibilities supporting informal decisionmaking processes. AI is analyzing in post-planning, what happened based on trends but can see

9 AI and Boardroom Decision-Making, available at:

https://www.thecorporategovernanceinstitute.com/insights/guides/ai-and-boardroom-decision-making/ (Last visited on 22 May 2025) 10 The Effect of AI on the Board of Directors, available at: https://www.cgsboardworks.com/insights/the-effectof-ai-on-the-board-of-directors (Last visited on 22 May 2025) Impact of Artificial Intelligence on Corporate Board Diversity Policies, available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC9127287/ (Last visited on 23 May 2025) 12 Directors Think: Balancing AI Risks and Opportunities, available at: https://boardmember.com/what-directorsthink-balancing-ai-risks-with-opportunities-in-2025/ (Last visited on 23 May 2025)

all potential interactions from the beginning to be able to assess, prescriptively, where timelines and activities went off the rails. AI can best this by collating data from its surveys and then trend them from these surveys. 13 Additionally, AI can determine what lessons can be learned, ensure that the application of any repeated decision is with the same philosophy, and, of course, make decisions based on the way transactional entities have been domesticated. AI can also ensure boards are acting consistently in decision making based on standardized criteria and more importantly can act as an archive of organizational knowledge that gets updated so the acknowledgement of organizational memory is not lost through a changing cast of organizational characters and their changing of the guard every election period (countries, corporations, and local initiatives).

14 Furthermore, it also provides governance by considering norms and ethical standards in ability to explore as well as recognize anomalies and uphold norms, this adds a level of quality to boards’ decisions (Forbes). In examining simple experiments that commence the introduction of AI into executive meetings, he outlined how AI can help reduce cognitive biases and provide actionable insight. 15 Furthermore, directors see AI as a mechanism that is helping businesses to scale faster and more cost-effectively, which include delivering on strategic management development.

16 Seeing corporations sorting through management trends and deploying AI to ensure they do not remain in reactive decisionmaking scenarios, organizations can find ways to endorse mission fulfillment with evidence in the refrigerator, buying themselves the ability to create data-driven strategic processes that will keep objects of their competitors on their heels by acting and thinking faster than they can. 17 Overall, all directors should undoubtedly take AI seriously, the excitement is not going to go away in the shortened attention span of the average Australian.

2. Increased Operational Efficiency

Boards of directors are often burdened by administrative tasks, from managing meeting dates

13 AI in the Boardroom: Evolving Decision-Making, available at:

https://www.forbes.com/sites/emilsayegh/2023/08/17/ai-in-the-boardroom-the-inevitable-evolution-of-decisionmaking/ (Last visited on 23 May 2025) 14 AI in Your Board of Directors: Benefits and Risks, available at https://boardable.com/resources/integrating-aiinto-your-board-of-directors-benefits-risks-and-implications/ (Last visited on 23 May 2025) 15 Corporate Boards and Decision Making: AI Impact, available at: https://www.metalegal.in/post/corporateboards-and-decision-making-impact-of-artificial-intelligence (Last visited on 23 May 2025) 16 Four Ways Boards Can Support Effective AI use, available at: https://www.ey.com/en_us/board-matters/fourways-boards-can-support-the-effective-use-of-ai (Last Visited on 23 May 2025) 17 AI in Decision Making: Benefits and Examples, available at: https://intellias.com/ai-decision-making/ (Last visited on 23 May 2025)

and preparing materials, to documenting procedures to meet governance requirements. 18 Artificial Intelligence can provide substantial relief by automating some of these tasks so the board can be more operationally effective, and board members and supporting staff can focus their energy on all the higher value activity that being on the board can provide. AI can automate tedious administrative tasks like setting board meeting dates, preparing agendas, or documenting minutes of meetings. For the corporate secretarial function, this means they have more time to focus on higher order strategic work, like guiding a board discussion or monitoring alignment with organizational objectives. 19 AI can help with other board-related activities as well, such as ensuring compliant and accurate document management or managing the fundamental work of compliance tracking.

AI technology can organize and categorize documents related to the board automatically that makes it more efficient for members to access their associated document during board meetings. 20 Ultimately AI can remove mundane tasks, which can be replaced by a deeper engagement in strategic thought for board members. This can’t be overstating the challenge of corporate governance becoming increasingly complex with many issues roiling boards, including sustainability, digital transformation and globe markets. Surveys show more than many directors feel AI can enhance operational and cost efficiency, so boards are better scaled. In addition, AI has efficiencies relating to streamlining processes and overall overhead to continue to leverage, and any aspect of operations management, can be applied to streamline the functions of the board, and this will help improve the speed of business.

21 Ultimately the functional efficiencies provided by using AI improve governance by providing faster access to data, but more importantly, where AI enhances corporate governance, it will help both boards and organizations be more agile in their decision-making processes overall, leading to a more responsive and effective governance environment. 18 Directors Think: Balancing AI Risks and Opportunities, available at: https://boardmember. com/what-directorsthink-balancing-ai-risks-with-opportunities-in-2025/ (Last visited on 23 May 2025) 19 AI for Operational Efficiency: Use Cases, available at: https://www. leewayhertz. com/ai-for-operationalefficiency/ (Last Visited on 23 May 2025) 20 AI Transforming Operations Management, available at: https://www. ibm.

com/think/topics/ai-in-operationsmanagement (Last visited on 23 May 2025) 21 AI in Enterprise Enhances Efficiency, available at: https://www. cloudapper. ai/enterprise-ai/how-ai-inenterprise-enhances-efficiency-and-productivity/ (Last visited on 23 May 2025)

3. Proactive Risk Management

As the regulatory environment evolves and the level of uncertainty increases in the market, boards of directors are increasingly focused on effective risk management. Artificial Intelligence (AI) represents an excellent risk management method because AI utilizes large amounts of data to identify patterns, and manage proactively. Moreover, AI improves boards' potential to anticipate events that have yet to develop. When used to assess internal data and their environmental data, AI systems are continually looking for unusual performance in the data or emerging trends. For example, financial indicators can be evaluated by AI to forecast future economic downturns or develop deficiencies in supply chains before it affects the business.

22 Likewise, competencies can be evaluated so that AI can assess the organization's activities to ensure regulatory compliance from both a design and implementation perspective and the organization's established policies. If compliance issues emerge, and given compliance practices, an AI system can proactively alert a board's attention in 'real time - ' a board can continue to maintain the highest governance practices while remaining mindful of regulatory and reputational risk. 23 Additionally, AIs can help assess relevant scenarios, and develop risk mitigation plans to help boards make reasonable assessments regarding the resource allocations and contingency planning.

Directors have a fiduciary responsibility to prioritize risk management in the context of AI in the interests of protecting the organization while operating on AI opportunities while undertaking oversight of these AI technologies. 24 AI can aid in providing a framework for the risk management policy which overall boards recommend to be prepared for AI postures which the board identifies through developing their own organization's policy. With the rapid evolution of technology and the latest risks associated with these same technologies, evolving approaches to manage AI - and its risk over time - requires boards to be 'adaptive'. Ultimately, if boards can appropriately apply AI when functionality can replace reactive risk management to a proactive approach, then an

22 AI Risk Management for Corporate Boards, available at:

https://www.forbes.com/sites/glenngow/2023/05/14/ai-risk-management-for-corporate-boards-5-areas-youshould-be-prioritizing/ (Last visited on 23 May 2025) 23 Navigating AI Risks: Guide for Boards, available at: https://www.mmmlaw.com/news-resources/102jlimnavigating-ai-risks-a-guide-for-board-members/ (Last visited on 23 May 2025)

24 Artificial Intelligence in Risk Management, available at:

https://kpmg.com/ae/en/home/insights/2021/09/artificial-intelligence-in-risk-management.html (Last visited on

23 May 2025)

organization can better manage uncertainty to maintain long term viability.25

4. Strengthened Compliance and Governance

Maintaining high standards of compliance and governance is a fundamental responsibility of any corporate board. AI systems can significantly enhance these areas by providing continuous monitoring, real-time insights, and automated compliance checks, ensuring that companies operate ethically and legally. 26 AI can continuously monitor company activities, transactions, and communications to ensure adherence to regulatory requirements and internal policies. This real-time oversight helps boards stay ahead of compliance issues, reducing the risk of penalties or legal challenges. It can also assist in upholding ethical standards by analyzing employee behavior and communications to identify potential conflicts of interest or unethical practices, fostering a culture of transparency and accountability.

As regulatory landscapes become increasingly complex, AI can help boards navigate these challenges by automating compliance checks and ensuring documentation meets legal standards, particularly for multinational corporations. Boards must also oversee AI governance to ensure that AI tools remain safe, ethical, and respectful of human rights. 27 AI strengthens regulatory compliance by analyzing data and detecting potential fraud, enabling a proactive governance approach. Governance frameworks supported by AI can help boards develop policies to govern AI use, addressing ethical and legal implications. By integrating AI into compliance and governance processes, boards can ensure that their organizations operate with integrity and resilience, even in the face of evolving regulatory demands. 28

5. Driving Innovation and New Business Models

Incorporating AI into business boards can ignite innovation and allow companies to experiment with novel business models and methods. AI can provide updates on upcoming technologies and emerging shifts in the market to help risk-taking boards make informed decisions that advance the engagement of their organizations with the future and open themselves up for new 25 AI Risk Management Policy: GRC Steps, available at: https://www.hackthebox.com/blog/ai-risk-management (Last visited on 23 May 2025) 26 AI Governance: Mitigating Compliance Risks, available at: https://www.ganintegrity.com/resources/blog/aigovernance-mitigating-ai-risk-in-corporate-compliance-programs/ (Last visited on 23 May 2025)

27 Governance of AI: Boardroom Imperative, available at:

https://www2.deloitte.com/us/en/insights/topics/leadership/successful-ai-oversight-may-require-moreengagement-in-the-boardroom.html (Last Visited on 23 May 2025) 28 AI in Governance, Risk, Compliance Programs, available at: https://www.thomsonreuters.com/enus/posts/corporates/ai-governance-risk-compliance-programs/ (Last visited on 23 May 2025)

opportunities. AI can also leverage historical and live time data to development and anticipate market changes and consumer habits, which can lead to new growth, such as predicting which consumers will exhibit new preferences or what technologies will become popular. 29 AI can also assist boards in rethinking how organizations operate from supply chain management to customer experience and in providing more fluid, consumer-focused, and cost-effective ways to run their businesses. Intelligent companies are leveraging AI for revenue generation and customer contact redesign, and boards that can understand and embrace AI can ultimately steer their organizations in new directions. 30 Some companies are naming AI bots as board observers to signify their importance in innovation.

31 AI can fuel innovation by accelerating ideation and product development, and empowering companies to stand out in a crowded marketplace. Given the substantive strategic opportunities AI will unlock for boards that hope to lead their way into the future, boards will have to fundamentally expand their understanding of human nonhuman agency. 32 The opportunities that AI brings to corporate boards offer many advantages that can have a transformative effect on governance, decision-making, and organizational capability. 33 AI can support boards in many ways - with governance in the form of better decision-making and expansion of data analysis, and enhanced efficiency via the removal of mundane tasks - enabling boards to operate with more effectiveness and efficiency.

34 Advantage Details Enhanced Decision- Making Analyzes vast data quickly, provides competitor insights, supports strategic planning.

Strengthened Compliance Monitors activities in real-time, ensuring regulatory and ethical adherence. Driving Innovation Forecasts market trends, supports new business models, enhances value creation.

NAVIGATING THE PITFALLS: DISADVANTAGES OF AI SYSTEMS IN

CORPORATE BOARDS

The prospects of deploying artificial intelligence (AI) to corporate boards is exciting since it promises improved decision-making and efficiency. However, this excitement should be tempered with a realistic look at the many detriments we should expect when pursuing this integrated deployment. Risks accompany any AI deployment, including but not limited to; unfairness, enabled by bias in decision-making and errors leading to bad decision-making, as well as gaps in laws and accountability, privacy and cybersecurity vulnerabilities, and regulatory under-resourcing, as well as the offer of implementation problems to deal with, along with larger concerns, such as environmental impact and erosion of investors' confidence, to name a few.

The article will concentrate only on the disadvantages and the inherent disadvantages provided by AI by drawing upon perspectives from a variety of authorities in order to develop a complete inventory of disadvantages a board is likely to encounter in developing an AI adoption strategy. By conducting this inventory of risks or disadvantages a board is likely to encounter, this article hopes to signal the caution required and governance framework needed that corporations would have to adopt in order to contain the potential liabilities.

1. Biases and Errors Undermining Decision-Making

AI's tendency to bias and inaccuracy presents a considerable challenge to the integrity of boardroom decision-making. AI systems are inherently tied to their training data. If there is bias in the training data, the decisions are then likely to retain and perpetuate the bias hence changeset of inequality.35 AI has confirmed bias in favor of certain demographics regarding hiring or resource allocation. There is the potential for complications such as gender pay gap. Generative AI tools can also "hallucinate," making inaccurate or false conclusions or facts that can influence strategic decisions. Such inaccuracies are concerning and influence decisions or Impact of Artificial Intelligence on Corporate Board Diversity Policies, available at https://pmc.ncbi.nlm.nih.gov/articles/PMC9127287/ (Last visited on 23 May 2025)

investments that may not serve stakeholders' needs and thus erode engagement, and trust in governance. As noted by Computershare Board Works (CBW), AI can yield unreliable results if it was trained on incomplete data which had a clear influence on strategic outcome. The PMC research also showed differences established by biased training data, that can lead to decisions which exacerbate gender and racial differences.36 The Harvard Law School Forum on Corporate Governance also calls attention to the risk of sufficient bias in procurement every day, that workplace decisions are under increasing regulatory scrutiny. Further to this, Meta legal (ML) write AI lacks emotional intelligence, or intuition, which are important traits for nuanced decisions. For example, in the boardroom you cannot expect every decision to be about something logical.37

2. Lack of Expertise Hindering Effective Oversight

The lack of knowledge about AI among board directors presents significant barriers to effective stewardship. Many (directors) have inadequate knowledge of AI technologies, engendering anxieties about integration and with a gap between their knowledge of AI and what AI offers to their organizations. The lack of knowledge is compounded by the shortage of individuals with AI risk and strategy expertise to sit on boards; few have interaction with AI experts or facilitators regarding implementation, risk mitigation and supposition at agencies being implemented. 38 Lack of knowledge (about AI) means, boards will be less well-informed regarding AI adoption, increase regulatory noncompliance and operational failures.

Corporate Board Member’s survey (CBM) shows lack of internal knowledge about AI as the foremost concern, however, could be greater than the benefits an agency may be receiving from AI. Almost a third of directors noted procurement and implementation as related areas of conflict and concern identified as significant risks brought forward in relation to operational agency governance and risk management. Meta legal observe that AI requires ongoing and regular oversight, directors are compelled to supervise code, reports on code and means to ensure it meets or aligns with organizational objectives and legal needs, which adds further strain to

36 What Directors Think: Balancing AI Risks with Opportunities In 2025, available at:

https://boardmember.com/what-directors-think-balancing-ai-risks-with-opportunities-in-2025/ (Last visited on

23 May 2025)

37 AI and the Role of the Board of Directors, available at: https://corpgov.law.harvard.edu/2023/10/07/ai-and-therole-of-the-board-of-directors/ (Last visited on 23 May 2025)

38 Corporate Boards and Decision Making: Impact of Artificial Intelligence, available at:

https://www.metalegal.in/post/corporate-boards-and-decision-making-impact-of-artificial-intelligence (Last visited on 23 May 2025)

management processes.

3. Accountability and Legal Gaps

The use of AI by boards raises significant accountability and legal issues. AI is clearly not human, and hence lacks a conscious mind and conscience, meaning that we cannot hold AI accountable for its decisions (Impact of AI on Board Diversity). Too much reliance on AI could lead to boards reducing their role to rubber stamping dominant views of management, in a form of governance asymmetry, with AI echoing management's perception of reality. The existing legal approaches are ambiguous with respect to the role of AI, because Delaware Corporations Law 141 refers to a human and requires that there only be human directors on boards. In terms of accountability, ensuring that AI is accountable is problematic, because AI has no legal personality (and so it is impossible to apportion liability if there is wrongdoing).

Also importantly, how would boards prevent breaching third-party intellectual property rights when using AI, which can prevent legal protection. The PMC research highlights that the unaccountability of AI could encircle human directors in its decision-making, risking investor confidence in the decisions of directors. Meta legal supports this by noting - under Indian law - that AI cannot be a director because it is not a natural person; and it is therefore complicated to assign liability to an AI, when laws are established based on human accountability. The Harvard Law School Forum notes compliance and ethics issues, including bias and transparency, to which AI needs robust board oversight. Boards will have to navigate the increasing scrutiny from regulators, including the EU AI Act, and various changes to legislation in the US.

4. Privacy and Cybersecurity Vulnerabilities

The vast datasets that the AI field draws upon raise considerable privacy and cyber security risks. When datasets become very large, disputes about the rights to data, privacy violations and even cyberattacks can arise - these are more real risks when the data involves an organization's employees or customers. An example of this is when stakeholder data is being processed or assessed, this may involve privacy breaches and lead to legal issues and reputational risks for an organization. Cybersecurity risks are elevated by the fact that malicious actors will likely be specifically looking at AI systems. Computershare Board Works reiterates that the demands of AI related to data and information

may, at least in part, lead to privacy intrusions and compliance issues that can potentially damage a company's reputation. Corporate Board Member surveyed directors about data privacy, and it was clear this is an essential risk. The Harvard Law School Forum points out that disputes and data breaches about data rights could arise, and Meta legal outlines the poor privacy risks associated with AI, which entitle organizations to provide very high confidence in confidentiality when collecting and performing analysis on data. With all these risks it would essentially require organizations to spend substantially more money on complex data protections that would take away from other important priorities.

5. Regulatory and Compliance Complexities

AI regulations may challenge boards in light of the evolving and often different contexts in which boards and regulators operate. AI challenges multiple legal frameworks including privacy laws, data protection laws, and anti-discrimination laws, reflective of the differences dictated by region and jurisdiction. The neighbors have similarly evolved, with the EU AI Act financially and legally very focused on scorecard and user-friendly protections, while the USA and UK repress innovation to consequence. Not to mention, thinking about compliance can leave companies vulnerable to monetary penalties and/or closure of business entirely. Computershare Board Works suggested that boards and companies must constantly remind themselves that developing AI regulations can require "startling amendments" constantly to comply with their legal obligations.

After all, Corporate Board Member's survey that most directors they surveyed indicated that the continuous uncertainty surrounding regulatory obligations and compliance is, because laws can never keep up with technology. The Harvard Law School Forum has highlighted this new scrutiny under new laws and pointed to some heightened international scrutiny which will complicate boards and their companies new scrutiny from the stand-alone EU AI Act, and the US Algorithmic Accountability Act 2022. All of which people need to be creative to comply with competing obligations.

6. Implementation Risks and Potential Misuse

There are risks associated with procuring and implementing AI systems that could diminish the effectiveness of AI systems in the boardroom. Directors list the challenges in selecting and implementing appropriate AI as significant challenges. Generative AI is especially prone to misuse - whether that misuse is creating false or misleading content or corrupted data - which could negatively impact stakeholders or the environment. Corporate Board Member references

risks like “hallucination,” as well as not having enough available AI expertise, and not infringing on intellectual property. Among the risks stemming from social pressure to adopt AI based on fears of becoming irrelevant as competitors adopt AI, there could be implementation without proper safeguards. Meta legal recommends increased oversight of AI, with directors responsible for monitoring the functioning of AI to ensure compliance with their legal duties. Computershare Board Works cites operational risks - that directors have delegated (or abdicated) responsibility to managers who use AI poorly - and that the potential exists for reliance on AI to prompt failures in service delivery, where temporary leaves, or reliance on ‘well-educated’ staff, exists. These risks require establishing policies, which add to the governance workload for corporate boards.

7. Erosion of Confidence and Environmental Concerns

AI integration has the potential to diminish investor confidence and trigger adverse environmental impacts. Biased or discriminatory outputs from AI can tarnish a company's reputation, mainly if it's perceived as favoring majority shareholders over minority rights. Over-reliance on AI may cause human directors to engage overseers or delegators without exercising their judgment, opening themselves to the possibility of poor decisions in the future. Additionally, in training AI algorithms, considerable energy is used, which will contribute to carbon footprints, contradicting sustainability objectives. Further, the Harvard Law School Forum reported that 42% of CEOs were concerned about AI's chance of a cataclysmic event. The research by PMC explains that reliance on AI presents the potential of ownership over dominant opinions and reduced diversity.

These negative perceptions require due diligence from corporate boards to transparently balance technology adoption, and social and ethical responsibilities. The introduction of AI into a corporate board cannot be underestimated, with multiple potential negatives that must be considered. Fair decision-making is put at risk by biases and errors, and expertise is often lacking, leading to oversight challenges. A lack of accountability, uncertainty with the law, privacy issues, regulatory overload, implementation hurdles, and environmental pressures complicate the transition to AI. The potential for diminished investor confidence with an overdependence on AI highlights the need for an integrated governance framework.

Key Data Table Disadvantage Key Issues Category Biases and Errors Biased decisions, generative AI hallucinations, unfair outcomes, lack of emotional intelligence. Lack of Expertise Limited AI knowledge, procurement and implementation risks, need for oversight. Accountability & Accountability gaps, legal challenges for AI directors, IP Legal infringement risks. Privacy & Security Data privacy violations, cybersecurity breaches, data rights disputes. Regulatory Regulatory uncertainty, geopolitical governance divides, Challenges compliance issues. Implementation Procurement difficulties, potential misuse, operational risks, rushed Risks adoption. Other Concerns Investor confidence erosion, overreliance on AI, environmental impact.

as data privacy and bias to limit ethical liability. 39 The European Union's AI Act, passed in June 2023, implements strict compliance obligations on corporate boards, as the risk classification model provides additional compliance obligations for high-risk AI systems, which forces boards to consider transparency, ethics, and safeguards against illegal content. The new artefacts of regulation not only requires. EU corporate boards to consider AI with legal and computational accuracy, as well as societal accountabilities when adopting AI technologies, but they labor under the regulation which may hinder adoption but influence trust.

40 Meanwhile, to accelerate its ambitions of becoming a global leader in AI by 2030 China has put in place more widespread AI policies, as it announced the first regulation on generative AI in August 2023, guiding boards how they might want to align their AI strategies with national objectives of algorithm optimization and ethical reviews. 41 In the same vein, India’s Digital Personal Data Protection Act, 2023; and the “AI for All” program are moving forward with AIpowered projects that work for social development and provides boards with authority to initiate inclusion projects that may add $450–$500 billion to India's GDP by 2025. South Korea’s liberal approach to the AI Act contains no pre-approval for innovation by boards; although, boards do have to report on their AI use, there are national developments that support AI start-ups and skills development.

Singapore’s National AI Strategy (NAIS 2. 0) wants to promote global causes, such as climate change, as well as encourage boards to use AI to promote good governance that is sustainable. 42 Different cultural governance models will form different social guidelines on how boards adopt and use AI. Anglo-American governance models focus on shareholder value without consideration of the broader impacts that AI may have on society. Anglo-American models have boards that include streamlined or single-tier boards that have 8 to 13 directors. 43 Boards What Directors Think: Balancing

AI

Risks with Opportunities In 2025, available at: https://boardmember.com/what-directors-think-balancing-ai-risks-with-opportunities-in-2025/ (Last visited on

23 May 2025)

What are the Effects of

AI

on the Board of Directors ?, available at: https://www.cgsboardworks.com/insights/the-effect-of-ai-on-the-board-of-directors (Last visited on 23 May 2025) 41 AI and the Role of the Board of Directors, available at: https://corpgov.law.harvard.edu/2023/10/07/ai-and-therole-of-the-board-of-directors/ (Last visited on 23 May 2025)

42 AI in Focus in 2025: Boards and Shareholders Set Their Sights on AI, available at:

https://corpgov.law.harvard.edu/2025/04/02/ai-in-focus-in-2025-boards-and-shareholders-set-their-sights-on-ai/ (Last visited on 23 May 2025) Comparative Analysis of

AI

Policies in India and Across the Globe, available at: https://community.nasscom.in/communities/ai/comparative-analysis-ai-policies-india-and-across-globe (Last visited on 23 May 2025)

in the stakeholder-oriented governance model in Continental Europe that seeks to consider society level implications represent stakeholders beyond shareholders and can include up to 20 directors and one-third of their board should be employees. In this governance framework the Board's discussions may consider adopting AI technologies for longer-term sustainable rewards and addressing ethical concerns. Japanese companies will have boards similar to stakeholders model that involve a consensus decision-making approach that may encourage collaboration with other companies, so AI may be adopted to reinforce the partnerships that are a key part of a keiretsu system. 44 Chinese boards will likely link AI in their ongoing business plans to align with national directives and the the government exchange their view of independence with a mandate of one-third independent directors.

Indian boards are similar as to these governance constructs as India blends Anglo-American and Continental approaches to boards, responsibility to society, and Boards are increasingly emphasizing social responsibility, using AI for enhanced transparency in family businesses. In countries leading AI research, like the United States (202,867 patents), China (32,102 Patents), and South Korea (48,915 patents), with a high density of technological ecosystems in these countries are more likely to have higher levels of AI integration at their corporate board level (PMC). 45 For example, boards in the United States, and particularly, at S&P 500 firms, 31% of companies are required to disclose board oversight of AI strategies in 2024. In addition to oversight, Twenty percent of the boards will have included an AI-expert director.

On the other hand, some countries in Africa or the Middle East, with underdeveloped AI related ecosystems, their boards have had to rely on investing in external AI services which may be challenging. 46 Although agencies such as OECD promote transparency and fairness through global recommendations (over 40 countries), and the 2021 UNESCO Recommendation on AI Ethics strategy and 193 endorsing states, as a way of promoting humane ethical AI, the lack of a global standard for AI governance as demonstrated by contrasting national responses in the G7 Hiroshima AI (HAP) Process versus the BRICS AI study group, demonstrate that Boards will face different AI regulations. 47 Companies still need to reconcile the dualities of economies of innovation between competing

44 Comparative Analysis of Corporate Governance Models Across Different Cultures, available at:

https://www.directors-institute.com/post/comparative-analysis-of-corporate-governance-models-acrossdifferent-cultures-how-cultural-differen (Last visited on 23 May 2025)

AI

Technology Specialization and National Competitiveness, available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC10994314/ (Last visited on 23 May 2025) Global

AI

Governance: Barriers and Pathways Forward, available at: https://academic.oup.com/ia/article/100/3/1275/7641064 (Last visited on 23 May 2025) 47 Global AI Regulations Guide, available at: https://www.diligent.com/resources/guides/ai-regulations-aroundthe-world (Last visited on 23 May 2025)

and ethical compliance for AI, and account for national and global level priorities while doing so.48 Country/Region Regulatory Governance Model

AI

Adoption Trends Key Challenges Framework United States No comprehensive AI law, federal agency oversight (Board Member) Shareholderfocused, onetier board (Directors Institute) 31%

S&P

disclose

AI

oversight, 20% have AI-expert directors (Harvard Law School Forum) Risk management, ethical concerns European Union AI Act with riskbased classification (Nass com) Stakeholderoriented, twotier boards (Directors Institute) Ethical, compliant

AI

adoption (Diligent) Regulatory complexity, slower adoption China Extensive

AI

policies, Gen AI regulation (Nass com) Stateinfluenced, two-tier boards (Directors Institute) Aligns with national goals, high patent output

(PMC)

Transparency, enforcement issues India Digital Personal Data Protection Act, “AI for All” (Nass com) Hybrid, CSRfocused (Directors Institute) Socially inclusive AI projects (Nass com) Family control, resource gaps

such as the ability to analyze large amounts of information in order to provide sentiment or insights and to analyze aspects of business operations by automating work; disadvantages such as mistakes or lack of accountability were substantial. The comparative analysis showed that countries such as the US have flexible regulations and regimes around compliance whereas the EU has strict regulatory compliance and guidelines that impact how boards should adopt AI. The cultural governance models (ultra-shareholder value in the US versus stakeholder value across Europe) can also play a role in how boards adopt AI. Considering boards' specific considerations, they should consider AI as an opportunity, while recognizing the ethical and legal obligations that must be upheld.

SUGGESTIONS

Boards can control these risks in the following ways • Ensuring AI is used with non-biased data sources to potentially mitigate the risk of compounding bias and the risk of potential mis judgement or mistakes. • Educating board members regarding AI to close the gap in their current knowledge and potentially follow better governance of AI use. • Building clearly defined policies and mechanisms of responsibility and accountability framework, and the legal gaps of compliance. • Having data policies in place to remedy the risks of privacy and cyber-security. • Understanding regulations, potential regulations, and applicable regulation when adapting your practices to the proper legal framework depending on the country (i. e. , The EU AI Act). • Additional monitoring and assessing of AI tools can be a priority and may require valuation of risk and reward in these tools.

• Where AI is necessary ensure there is human oversight outside of governance-an ethical governance context where environmental issues and impact of AI are minimize. • Leverage AI for diversity, use AI to support or help him run an anomaly with good

diversity for diverse board representatives. • There may be a need to adapt cultural and regulatory frameworks according to jurisdiction in order to support using specific models while engaging in activities outside the nation. • It is wise to continue to be vigilant as technology develops, and towards your continued AI efforts, to address specific technologies and regulations implemented to gain access to potential long-term solutions of your AI, respectively.

REFERENCES

1. Ai and Boardroom Decision-Making available at

https://www.thecorporategovernanceinstitute.com/insights/guides/ai-and-boardroomdecision-making/ (Last visited on 22 May 2025)

2. AI in the Boardroom: Evolving Decision-Making, available at:

https://www.sansalegal.com/post/ai-in-the-boardroom-digital-corporate-governanceand-the-rise-of-algorithmic-decision-making-3-min (Last visited on 22 May 2025) 3. When AI Gets a Board Seat, available at: https://hbr.org/2025/03/when-ai-gets-aboard-seat (Last visited on 22 May 2025)

4. Directors Think: Balancing AI Risks and Opportunities, available at:

https://boardmember.com/directors-think-balancing-ai-risks-and-opportunities (Last visited on 22 May 2025) 5. AI Transforming Operations Management, available at: https://www.ibm.com/ai-inenterprise-enhances-efficiency (Last visited on 22 May 2025) 6. AI Risk Management for Corporate Boards, available at: https://www.forbes.com/airisk-management-for-corporate-boards/ (Last visited on 22 May 2025)

7. Navigating AI Risks: Guide for Boards, available at:

https://www.mmmlaw.com/news-resources/102jlim-navigating-ai-risks-a-guide-forboard-members/ (Last visited on 22 May 2025)

8. Governance of AI: Boardroom Imperative, available at:

https://www.deloitte.com/global/en/issues/trust/progress-on-ai-in-the-boardroom-butroom-to-accelerate.html (Last visited on 22 May 2025)

9. Governing AI Use in Organisations, available at:

https://www.ibm.com/think/topics/ai-governance (Last visited on 23 May 2025)

10. What Directors Think: Balancing AI Risks With Opportunities In 2025, available at:

https://boardmember.com/what-directors-think-balancing-ai-risks-with-opportunities-

in-2025/ (Last visited on 23 May 2025)

11. Impact of Artificial Intelligence on Corporate Board Diversity Policies, available at:

https://pmc.ncbi.nlm.nih.gov/articles/PMC9127287/ (Last visited on 23 May 2025)

12. AI and the Role of the Board of Directors, available at:

https://corpgov.law.harvard.edu/2023/10/07/ai-and-the-role-of-the-board-of-directors/ (Last visited on 23 May 2025)

13. Corporate Boards and Decision Making: Impact of Artificial Intelligence, available

at: https://corpgov.law.harvard.edu/2023/10/07/ai-and-the-role-of-the-board-ofdirectors/ (Last visited on 23 May 2025)

14. What are the Effects of AI on the Board of Directors?, available at:

https://boardmember.com/ai-in-focus-in-2025-boards-and-shareholders-set-theirsights-on-ai (Last visited on 23 May 2025)

15. AI for Operational Efficiency: Use Cases, available at:

https://www.boardworks.com/ai-for-operational-efficiency-use-cases (Last visited on

23 May 2025)

16. AI in Enterprise Enhances Efficiency, available at: https://www.ibm.com/ai-inenterprise-enhances-efficiency (Last visited on 23 May 2025) 17. Risk Management in AI, available at: https://www.forbes.com/ai-risk-managementfor-corporate-boards/ (Last visited on 23 May 2025)

18. Artificial Intelligence in Risk Management, available at:

https://morrisonmahoney.com/ai-risk-management-policy-grc-steps (Last visited on

23 May 2025)