Umang Bhatt

Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based reporting checklist to improve transparency, reproducibility and ethical accountability of large-language-model-based research in the behavioural sciences. You have full access to this article via your institution.

Credits Umang Bhatt is an assistant professor in trustworthy AI at the University of Cambridge, where his work focuses on managing the partnership between humans and AI. He is a Fellow of King’s College, Cambridge. In late January, Alex Finn answered a phone call from an unknown number. On the other end was Henry, the AI agent he had built using OpenClaw, a personal AI assistant.

[Submitted on 16 Jan 2025] Title:Revisiting Rogers' Paradox in the Context of Human-AI Interaction View a PDF of the paper titled Revisiting Rogers' Paradox in the Context of Human-AI Interaction, by Katherine M. Collins and Umang Bhatt and Ilia Sucholutsky View PDF HTML (experimental) Abstract:Humans learn about the world, and how to act in the world, in many ways: from individually conducting experiments to observing and reproducing others' behavior.