PhilNote: this work appears to view human intervention as a flaw, rather than as an AI/human partnership.
“These findings underscore a fundamental reality: Most GenAI tools remain tethered to humans. The reason: Most enterprise functions are complex, interdependent and context-rich—conditions that challenge today’s GenAI capabilities,” the report added.New research at MIT suggests that could be the case. A report Tuesday (June 17) from the university’s Sloan School of Management covers some of MIT’s studies involving agentic artificial intelligence (AI), including an exploration into how these digital entities can be trained to reason and collaborate more like humans. ...
The research found that AI’s strict adherence to rules could be relaxed when exposing models to human reasoning, letting them be more flexible in making exceptions in scenarios like hiring and customer service. ...
In the meantime, generative AI (GenAI) still “requires human operators for prompting and assessing the outcomes of most tasks,” as PYMNTS wrote in the recent report, “AI at the Crossroads: Agentic Ambitions Meet Operational Realities.”
See the full story here: https://www.pymnts.com/artificial-intelligence-2/2025/mit-looks-at-how-ai-agents-can-learn-to-reason-like-humans/