9 papers
Content Creation with Spillovers: An Incentive Design Approach
Sagi Ohayon, Boaz Taitler, Omer Ben-Porat
The rise of AI amplifies the economic phenomenon of \emph{positive spillovers}: when creators contribute content that can be reused and adapted by LLMs, one creator's effort may im…
Truthful Reporting of Competence with Minimal Verification
Reshef Meir, Jonathan Wagner, Omer Ben-Porat
Suppose you run a home exam, where students should report their own scores but can cheat freely. You can, if needed, call a limited number of students to class and verify their act…
LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
Or Bachar, Or Levi, Sardhendu Mishra +6
As LLMs are increasingly integrated into human-in-the-loop content moderation systems, a central challenge is deciding when their outputs can be trusted versus when escalation for…
Collaborating with GenAI: Incentives and Replacements
Boaz Taitler, Omer Ben-Porat
The rise of Generative AI (GenAI) is reshaping how workers contribute to shared projects. While workers can use GenAI to boost productivity or reduce effort, managers may use it to…
Selective Response Strategies for GenAI
Boaz Taitler, Omer Ben-Porat
The rise of Generative AI (GenAI) has significantly impacted human-based forums like Stack Overflow, which are essential for generating high-quality data. This creates a negative f…
Braess's Paradox of Generative AI
Boaz Taitler, Omer Ben-Porat
ChatGPT has established Generative AI (GenAI) as a significant technological advancement. However, GenAI's intricate relationship with competing platforms and its downstream impact…
Aegis: Tethering a Blockchain with Primary-Chain Stake
Yogev Bar-On, Roi Bar-Zur, Omer Ben-Porat +3
Blockchains implement decentralized monetary systems and applications. Recent advancements enable what we call tethering a blockchain to a primary blockchain, securing the tethered…
Personalized Reinforcement Learning with a Budget of Policies
Dmitry Ivanov, Omer Ben-Porat
Personalization in machine learning (ML) tailors models' decisions to the individual characteristics of users. While this approach has seen success in areas like recommender system…
Principal-Agent Reward Shaping in MDPs
Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz +1
Principal-agent problems arise when one party acts on behalf of another, leading to conflicts of interest. The economic literature has extensively studied principal-agent problems,…