Gender diversity in corporate boardrooms remains a persistent challenge despite decades of regulation, from European quotas to the United Kingdom’s comply or explain model. Traditional appointment processes, shaped by opaque networks and entrenched bias, reproduce homogeneity and limit women’s access to leadership. This paper examines Artificial Intelligence (AI) as a data-driven, merit-focused mechanism for identifying and evaluating candidates. Through doctrinal and thematic analysis, it argues AI can mitigate bias and broaden candidate pools, though its value depends on enforceable oversight against automating existing inequalities. The paper does not argue that AI should be mandated. It argues that where a company elects to use AI to identify, assess, or shortlist candidates, that use should trigger mandatory safeguards, namely disclosure in the annual report, an annual fairness assessment incorporating a data protection impact assessment, a right to a reasoned explanation of adverse decisions, and independent algorithmic review under an AI Review Clause. Beyond these safeguards, it supports disclosure obligations that encourage responsible adoption without compelling it. Locating these duties in the UK Corporate Governance Code, Companies Act 2006, Equality Act 2010, and UK GDPR, the paper concludes that AI, so governed, can credibly advance gender diversity while preserving board independence and accountability.
