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UK Corporate Governance Code: Boards struggle to prove AI/data risk control

By PulseAugur Editorial · [1 sources] ·

Liz Henderson, also known as The Data Queen, highlights a critical gap in corporate governance regarding data, AI, and cyber risks. She explains that while many boards receive regular updates and risk assessments, this often amounts to mere oversight rather than true governance. The core issue, particularly under Provision 29 of the UK Corporate Governance Code, is the inability to prove control over these risks, not just to be aware of them. Henderson uses examples of data quality reports, AI tool approvals, and cyber security briefings to illustrate how organizations can be "unproven," "ungoverned," or "unable to attest" despite extensive discussions and approvals, emphasizing the need for boards to demonstrate effective control with evidence. AI

IMPACT Highlights the critical need for demonstrable control over AI and data risks in corporate governance, moving beyond mere awareness.

RANK_REASON Article discusses governance and risk management principles related to AI and data, but does not announce a new product, research, or policy.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

UK Corporate Governance Code: Boards struggle to prove AI/data risk control

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Knowing About the Risk Is Not the Problem. Proving You Controlled It Is. A version of oversight that looks like governance and is not. Under Provision 29 of the

    Knowing About the Risk Is Not the Problem. Proving You Controlled It Is. A version of oversight that looks like governance and is not. Under Provision 29 of the 2024 UK Corporate Governance Code, effective for financial years beginning on or after 1 January 2026, most boards cann…

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