works on

From the 1 of 5 linked papers with an AI index.

most citedWho Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CY2026

"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration

Kashif Imteyaz, Mohammad Rashidujjaman Rifat, Divya Ramesh +6

The paper discusses how large language model agents embedded in collaborative knowledge work can blur who contributed what, making it hard to attribute originality and hold partici…

econ.GN20263 cited

Who Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback

Christoph Riedl, Eric Bogert

Feedback from artificial intelligence (AI) is increasingly easy to access and research has already established that people learn from it. But individuals choose when and how to see…

cs.HC20262 cited

Cognitive Spillover in Human-AI Teams

Christoph Riedl, Saiph Savage, Josie Zvelebilova

AI is not only a neutral tool in team settings; it influence the social and cognitive fabric of collaboration. Across two randomized experiments, we demonstrate that AI exposure pr…

cs.CY2025

Reliable agent engineering should integrate machine-compatible organizational principles

R. Patrick Xian, Garry A. Gabison, Ahmed Alaa +2

As AI agents built on large language models (LLMs) become increasingly embedded in society, issues of coordination, control, delegation, and accountability are entangled with conce…

physics.soc-ph2025

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks

Bijin Joseph, Christoph Riedl, Alex Pentland +1

Social learning is a fundamental mechanism shaping decision-making across numerous social networks, including social trading platforms. In those platforms, investors combine tradit…