3 papers
econ.GN2026
AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability
Marco Bornstein, Amrit Singh Bedi
The race for artificial intelligence (AI) dominance often prioritizes scale over efficiency. Hyper-scaling is the common industry approach: larger models, more data, and as many co…
cs.GT2026
Auction-Based Regulation for Artificial Intelligence
Marco Bornstein, Zora Che, Suhas Julapalli +3
In an era of "moving fast and breaking things", regulators have moved slowly to pick up the safety, bias, and legal debris left in the wake of broken Artificial Intelligence (AI) d…
cs.GT2025
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed +1
Standard federated learning (FL) approaches are vulnerable to the free-rider dilemma: participating agents can contribute little to nothing yet receive a well-trained aggregated mo…