Are you a cyborg, a centaur, or a self-automator? Why businesses need the right kind of ‘humans in the loop' in AI By François Candelon , Katherine Kellogg , Hila Lifshitz and Steven Randa...
SCHNEIDER ELEC UNSP/ADR (SBGSY)
NASDAQ:AMEX Investor Relations:
schneider-electric.com/en/about-us/investor-relations
Company Research
Source: Acquire Media Monitor
The common answer—”keep humans in the loop”—sounds reassuring. But new research reveals that this answer is dangerously incomplete. What appears to be the same “human-in-the-loop” approach actually manifests in three radically different ways, with profoundly different implications for performance and skill development. To understand how companies can truly extract value from human-AI collaboration, we conducted a field experiment with 244 consultants using GPT-4 for a complex business problem-solving task. With support from scholars at Harvard Business School, the MIT Sloan School of Management, the Wharton School, and Warwick Business School, the experiment analyzed nearly 5,000 human-AI interactions to answer a critical question: When humans collaborate with GenAI, what are they actually doing—and what should they be doing? Three hidden patterns of human-AI collaboration Our experiment's most striking finding is that professionals working with GenAI naturally sorted themselv
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