Most AI experts see preserving human judgment as the central test of responsible AI
Sixty-five percent of an international panel of AI experts assembled by MIT Sloan Management Review and Boston Consulting Group agree that preserving trustworthy human judgment will be the defining challenge of responsible AI. Nineteen percent disagree and fifteen percent remain neutral. Now in its fifth year, the panel gathers more than fifty practitioners, academics, researchers and policy makers.
The gains from automation show up on the balance sheet, but the cost does not. Ranier Hoffmann, chief data officer at EnBW, observes that judgment is built through decisions with real consequences, including the mistakes. When machines make those decisions, the training ground disappears. The cost comes due later: senior people stay nominally accountable for calls they no longer practice making, and junior staff never develop the instinct at all.
Source: MIT Sloan Management Review · October 15, 2026