A bit over a week ago, I was at an excellent workshop on “AI Agency & Interpretability” at CMU, organized by Aydin Mohseni.

Suppose that an AI model does a thing that we do not like.

Since coding agents do all of my actual work now, I’ve been spending more time looking for sources of inspiration and ways to understand the world.

I plan to write periodically about “LLM psychology”: a project of finding the right high-level abstractions to describe the way that LLMs accomplish cognitive tasks like making decisions, drawing infe...

A bit over a year ago, I wrote about the dangers of using LLMs for peer review. The most serious concern I had was algorithmic monoculture: the research community would collectively end up optimizing ...

A bit over a year ago, I wrote about the dangers of using LLMs for peer review. The most serious concern I had was algorithmic monoculture: the research community would collectively end up optimizing ...

Landing page that provides details for the annual AI-SDM workshop on Human-AI Complementarity for Decision Making

About This workshop will focus on the practical realities of deploying algorithmic and economic systems from academic research, especially with government and non-profit partners. While economics and ...

ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization

Large language models (LLMs) are increasingly deployed as agents in high-stakes domains where optimal actions depend on both uncertainty about the world and consideration of utilities of different out...

Predictions and generations from large language models are increasingly being explored as an aid in limited data regimes, such as in computational social science and human subjects research. While pri...

EAAMO is seeking proposals from universities, institutes and other appropriate venues interested in hosting the 2026 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (AC...

EAAMO Bridges Urban Data Science & Equitable Cities working group: biweekly talks, paper studies, and workshops on computational urban data analysis to explore and address inequities.

We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...

We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...

Many social programs attempt to allocate scarce resources to people with the greatest need. Indeed, public services increasingly use algorithmic risk assessments motivated by this goal. However, targe...

Landing page that provides details for the annual AI-SDM workshop on Human-AI Complementarity for Decision Making

Diversity in training data, architecture, and providers is assumed to mitigate homogeneity in LLMs. However, we lack empirical evidence on whether different LLMs differ meaningfully. We conduct a larg...