Technologies like synthetic data, evaluations, and red-teaming are often framed as enhancing AI privacy and safety. But what if their effects lie elsewhere?
In a new paper with @realbrianjudge.bsky.social at #EAAMO25, we pull back the curtain on AI safety's toolkit. (1/n)
arxiv.org/pdf/2509.22872
Tracks at #EAAMO25 include:
🔹 AI & Machine Learning
🔹 Applied & Quantitative Modeling
🔹 Datasets & Benchmarks
🔹 Empirical Studies
🔹 Position Papers
🔹 Theory
Submissions can be research papers, surveys, position papers, problem-driven contribution, and welcome wide range of disciplines.
🚨 Call for Papers – #EAAMO25 🚨
We invite researchers, practitioners & policymakers to submit work on equity, access, & fairness in algorithms, optimization & mechanism design.
📅 Abstracts due Apr-17
📅 Papers due April-24
🔗 Learn more: conference.eaamo.org/cfp/
