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Human Dignity and Agency in the Workforce in the Age of Agentic AI

We gratefully acknowledge the ND-IBM Tech Ethics Lab for funding our project “Human Dignity and Agency in the Workforce in the Age of Agentic AI”.

01 May 2026

EIC for ACM TMIS

Heng Xu was appointed by the Association for Computing Machinery (ACM) Publications Board to a three-year term (May 15, 2024 - May 14, 2027) as the Editor-in-Chief for the ACM Transactions on Management Information Systems....

01 May 2024

All Stories

Scheming Is a Symptom: Alignment Research Should Probe Reflexive Fragility

Language models alter their behavior when they infer that they are being trained, evaluated, deployed, or weakly overseen. Recent AI safety work treats this as evidence of scheming, and substantial...

Robust Analytics Lab
02 Oct 2026

Lock-in and Confusion in Autoregressive Reasoning

Autoregressive reasoning traces often sharpen as they unfold — entropy falls and token probabilities concentrate — suggesting decoding is resolving uncertainty. Yet the same pattern persists after clear reasoning errors....

Robust Analytics Lab
02 Oct 2026

Why Machine Learning Needs Theoretical Guidance to Support Future Theory Building

Machine learning has long held intuitive appeal in aiding theory building, owing to its capacity to automatically uncover intricate patterns from vast amounts of observed data. Yet, recent literature in...

Robust Analytics Lab
01 Sep 2026

Human Dignity and Agency in the Workforce in the Age of Agentic AI

We gratefully acknowledge the ND-IBM Tech Ethics Lab for funding our project “Human Dignity and Agency in the Workforce in the Age of Agentic AI”.

Robust Analytics Lab
01 May 2026

Use Machine Learning to Model Time and Causality

We gratefully acknowledge the U.S. Army Research Institute (ARI), Basic Research Program, for funding our project “Use Machine Learning to Model Time and Causality”.

Robust Analytics Lab
01 Oct 2025

2025 Best Paper Award from Personnel Psychology

“Reducing Subgroup Differences in Personnel Selection through the Application of Machine Learning”, a paper co-authored by Nan Zhang, Heng Xu, and 11 other co-authors, received the 2025 Best Paper Award...

Robust Analytics Lab
01 Aug 2025

Testing of Reverse Causality Using Semi-Supervised Learning

Two potential obstacles stand between the observation of a statistical correlation and the design (and deployment) of an effective intervention, omitted variable bias and reverse causality. Whereas the former has...

Robust Analytics Lab
31 Mar 2025

Jeanneret Award from the Society for I-O Psychology

“Reducing Subgroup Differences in Personnel Selection through the Application of Machine Learning”, a paper written by Nan Zhang, Heng Xu, and 11 other co-authors, has been honored with the 2025...

Robust Analytics Lab
28 Mar 2025

Social Justice Best Paper Award

A paper co-authored by Heng Xu and Nan Zhang, “Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning,” published at Information Systems Research, has been honored with the INFORMS...

Robust Analytics Lab
20 Oct 2024

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Featured Stories

Human Dignity and Agency in the Workforce in the Age of Agentic AI

We gratefully acknowledge the ND-IBM Tech Ethics Lab for funding our project “Human Dignity and Agency in the Workforce in the Age of Agentic AI”.

EIC for ACM TMIS

Heng Xu was appointed by the Association for Computing Machinery (ACM) Publications Board to a three-year term (May 15, 2024 - May 14, 2027) as the Editor-in-Chief for the ACM Transactions on Management Information Systems....

All Stories

Scheming Is a Symptom: Alignment Research Should Probe Reflexive Fragility

Language models alter their behavior when they infer that they are being trained, evaluated, deployed, or weakly overseen. Recent AI safety work treats this as evidence of scheming, and substantial...

Lock-in and Confusion in Autoregressive Reasoning

Autoregressive reasoning traces often sharpen as they unfold — entropy falls and token probabilities concentrate — suggesting decoding is resolving uncertainty. Yet the same pattern persists after clear reasoning errors....

Why Machine Learning Needs Theoretical Guidance to Support Future Theory Building

Machine learning has long held intuitive appeal in aiding theory building, owing to its capacity to automatically uncover intricate patterns from vast amounts of observed data. Yet, recent literature in...

Human Dignity and Agency in the Workforce in the Age of Agentic AI

We gratefully acknowledge the ND-IBM Tech Ethics Lab for funding our project “Human Dignity and Agency in the Workforce in the Age of Agentic AI”.

Use Machine Learning to Model Time and Causality

We gratefully acknowledge the U.S. Army Research Institute (ARI), Basic Research Program, for funding our project “Use Machine Learning to Model Time and Causality”.

2025 Best Paper Award from Personnel Psychology

“Reducing Subgroup Differences in Personnel Selection through the Application of Machine Learning”, a paper co-authored by Nan Zhang, Heng Xu, and 11 other co-authors, received the 2025 Best Paper Award...

Testing of Reverse Causality Using Semi-Supervised Learning

Two potential obstacles stand between the observation of a statistical correlation and the design (and deployment) of an effective intervention, omitted variable bias and reverse causality. Whereas the former has...

Jeanneret Award from the Society for I-O Psychology

“Reducing Subgroup Differences in Personnel Selection through the Application of Machine Learning”, a paper written by Nan Zhang, Heng Xu, and 11 other co-authors, has been honored with the 2025...

Social Justice Best Paper Award

A paper co-authored by Heng Xu and Nan Zhang, “Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning,” published at Information Systems Research, has been honored with the INFORMS...