Todd Bernson, Chief AI Officer at BSC Analytics, argues that AI systems can easily generate progress claims, but true assurance requires robust governance. He distinguishes between a 'claim' (e.g., an AI stating 87% completion) and 'proof,' which necessitates evidence of activity, acceptance, outcome, and independent assurance. Bernson emphasizes that the final 10% of AI transformation work, involving exception handling and validation, is crucial for demonstrating value and that organizations must be willing to state when a result is not proven, rather than relying on dashboards that may obscure critical questions. AI
IMPACT Highlights the need for robust governance and evidence-based assurance in AI deployments, moving beyond simple progress claims.
RANK_REASON Opinion piece by an industry executive on AI governance and assurance.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
