AI and Humans: A Power Duo or Just a Messy Divorce?

We’ve been sold the idea that AI and humans working together will outperform either alone but what if that’s wrong? New research suggests that in many cases, AI-human collaboration actually underperforms compared to AI alone or skilled humans. So, are we integrating AI the wrong way?

A study from MIT’s Center for Collective Intelligence analyzed over 100 experiments and found that AI-human teams often don’t outperform AI or humans alone. The reason? People struggle to trust AI when they should and override it when they shouldn’t.

AI excels in data-driven tasks like detecting fake reviews, while humans dominate context-heavy tasks like identifying birds. The real challenge isn’t deciding who does what. It’s redesigning workflows so AI and humans complement each other efficiently.

We keep forcing AI-human collaboration, but are we doing it wrong? Should we rethink how we integrate AI instead of assuming it’s always better together?

Read the full article on MIT Sloan.

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