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You are at:Home»Managing resilience»C-suite and the board»Five AI Board Governance Principles set out in new guidance report (Page 18)
C-suite and the board

Five AI Board Governance Principles set out in new guidance report

April 29, 20262 Mins Read
AI board governance concept

KPMG International has launched a set of five AI Governance Principles for Boards, developed in collaboration with the INSEAD Corporate Governance Centre, to foster responsible governance of AI at board level, as organizations and their boards grapple with AI’s implications for strategy, operations, and the board itself.

The document also illustrates how fundamentally the role of the board will evolve due to the rise of AI:

  • Technology (and AI specifically) will be a much greater boardroom focus than ever before, due to the transformational impact of AI on organizations’ business models, productivity, security considerations, and talent and workforce strategy.
  • Boards will need a clear view on how AI decision-making and human decision-making should work together, with clarity and transparency. Advancements in artificial intelligence will compel boards to reassess their organizations’ success metrics and progress indicators, and to adapt these measures as necessary. 

The guidance draws on practical insights from board members worldwide.

The Five AI Board Governance Principles cover:

  • Strategic Oversight for long-term value creation, building in an uncharted territory which favours speed, experimentation, and quick results.
  • Active Technology and Security Oversight, balancing technology sovereignty, cyber-, data- and AI-security with the increased agility, speed and benefits of scale offered by partnering or outsourcing.
  • Workforce Transformation and Human Accountability, balancing productivity gains with effective, forward-looking workforce and talent management, which preserves human judgement. 
  • Building Trustworthy AI, adopting standards for trustworthy AI that reflect the company’s values and regulatory obligations
  • The Work of the Board, considering how AI will affect the Board’s own oversight processes and governance practices.
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