Beyond Verification — What Responsible AI Really Demands of Human Experts

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Responsible AI

The Responsible AI initiative looks at how organizations define and approach responsible AI practices, policies, and standards. Drawing on global executive surveys and smaller, curated expert panels, the program gathers perspectives from diverse sectors and geographies with the aim of delivering actionable insights on this nascent yet important focus area for leaders across industry.

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For the fifth year in a row, MIT Sloan Management Review and Boston Consulting Group (BCG) have assembled an international panel of AI experts that includes academics and practitioners to help us understand how responsible artificial intelligence is being implemented across organizations worldwide. In our first post this year, we explored how organizations should think about AI’s impact on the workforce, with our experts stressing that responsible AI means looking beyond the safety of AI systems to address real-world consequences for workers and economic stability.

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Three precedent-setting court rulings in China have said that employers replacing workers with AI is voluntary cost-cutting that does not justify mass layoffs

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