KPMG Risk Chief: Corporate Boards Unprepared for AI Governance

Corporate boards are divided into two camps when it comes to artificial intelligence: executives loudly championing adoption and those avoiding the conversation entirely. Neither approach addresses the fundamental governance challenge AI presents, according to Samantha Gloede, Global Head of Risk Services at KPMG International.

Gloede argues that AI has exposed critical weaknesses in corporate oversight, revealing that existing governance models were not designed for the technology now reshaping business operations. To address this gap, KPMG partnered with INSEAD to publish AI Governance Principles for Boards, a framework examining five priorities for directors navigating AI oversight.

Why it matters

As AI moves from peripheral tool to core business infrastructure, boards face mounting pressure to govern systems they may not fully understand. The stakes extend beyond operational efficiency to encompass trust, accountability, and long-term value creation. Directors who fail to adapt risk reputational damage and competitive disadvantage as AI becomes embedded in critical processes.

Five priorities for board-level AI oversight

The framework positions AI as a central strategic concern rather than a technology initiative. Gloede emphasizes that conversations about AI should inform discussions on growth, capital allocation, and risk management across the enterprise.

Director-level AI fluency emerges as a baseline requirement. Board members need not become technical experts, but must understand enough to question assumptions, recognize dependencies, and identify accumulating risks. With organizations relying on third-party tools and opaque models, informed oversight has become a core responsibility.

The framework addresses workforce implications beyond automation. Boards must consider how organizations redesign work while preserving human judgment and maintaining accountability for AI-influenced decisions. Focusing solely on productivity gains misses the strategic question of whether the workforce can use AI effectively and remain responsible for outcomes.

Trust represents a critical tension point. Companies face pressure to move quickly, but Gloede warns that trust erodes faster than it builds. The framework treats explainability, fairness, accountability, and transparency as enablers of durable innovation rather than obstacles to speed.

Finally, the principles acknowledge that governing AI requires rethinking oversight itself. Directors must govern probabilistic systems rather than deterministic ones, often with uneven AI literacy around the boardroom table. This demands discipline and willingness to reimagine governance implementation.

A closing window

Gloede cautions that boards have limited time to shape AI adoption before problematic practices become normalized. Once AI embeds across core processes, the cost of poor governance will manifest in operational failures, reputational damage, and lost value.

The board's role is neither to slow AI adoption nor to champion it without scrutiny, but to enable responsible acceleration through clear priorities, current risk frameworks, and confidence that management possesses the talent and controls to challenge AI outputs before they shape decisions.

These details were first reported by Fortune in Gloede's commentary piece.