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 previous posts this year, we have explored artificial intelligence's impact on the workforce, including why responsible AI requires more than training human experts to verify AI outputs. This time, we asked our panel to react to the following provocation: Responsible governance that treats agents as autonomous decision makers will fail. On the surface, there is broad consensus, with a clear majority (72%) of our panelists agreeing or strongly agreeing with the statement. But digging deeper reveals a more nuanced conversation about what autonomy means, the relationship between autonomy and accountability, and what's at risk when characterizing agents as 'autonomous.' The picture that...
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