4 papers
Welfare-Optimal Classification with Accuracy Auctions
Bana Sadi, Eden Saig, Nir Rosenfeld
Prediction algorithms are increasingly used to inform decisions about humans, but maximizing accuracy-the standard learning objective-is not necessarily optimal for this purpose. I…
Adaptive Contracts for Cost-Effective AI Delegation
Eden Saig, Tamar Garbuz, Ariel D. Procaccia +2
When organizations delegate text generation tasks to AI providers via pay-for-performance contracts, expected payments rise when evaluation is noisy. As evaluation methods become m…
Evolutionary Prediction Games
Eden Saig, Nir Rosenfeld
When a prediction algorithm serves a collection of users, disparities in prediction quality are likely to emerge. If users respond to accurate predictions by increasing engagement,…
Incentivizing Quality Text Generation via Statistical Contracts
Eden Saig, Ohad Einav, Inbal Talgam-Cohen
While the success of large language models (LLMs) increases demand for machine-generated text, current pay-per-token pricing schemes create a misalignment of incentives known in ec…