3 citations · 5 across the 5 of their papers we have counts for
5 papers
"Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated Collaboration
Kashif Imteyaz, Mohammad Rashidujjaman Rifat, Divya Ramesh +6
Collaborative knowledge work is changing in ways that go beyond disclosure or transparency. LLM agents are now embedded in how teams research, design, write, and decide: mediating…
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…
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…
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…
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…