MIT expert suggests removing humans from certain AI loops to improve efficiency

Paul Cheek, a senior lecturer at the MIT Sloan School of Management and founder of Entonomy, argues that businesses should reconsider the necessity of the ‘human in the loop’ model for all AI applications. In his book, ‘No One Works Here’, Cheek suggests that insisting on human oversight for decisions that machines can handle efficiently may act as a roadblock to automation and cause companies to fall behind their competitors.

However, the necessity of human involvement remains a point of debate, particularly in high-stakes sectors. Ted Paris, head of analytics, intelligence and AI for TD Bank US, emphasizes that in the financial services industry, human judgment and accountability are foundational to maintaining trust, managing risk, and serving customers.

While Cheek points to examples like intelligent emergency braking systems—where machine reaction speeds surpass human biological latency—as areas where human intervention might actually hinder performance, others argue that oversight is essential to address the inherent trust issues associated with artificial intelligence.