6 papers
AI Strategy: How to Choose What AI Product to Implement
Foster Provost, Panos Ipeirotis
Firms struggle to choose AI projects that pay off: two projects can look equally promising to smart, motivated stakeholders and yet deserve opposite decisions. At the residential r…
Logging Policy Design for Off-Policy Evaluation
Connor Douglas, Joel Persson, Foster Provost
Off-policy evaluation (OPE) estimates the value of a target treatment policy (e.g., a recommender system) using data collected by a different logging policy. It enables high-stakes…
The Illusion of Collusion
Connor Douglas, Foster Provost, Arun Sundararajan
Algorithmic agents are used in a variety of competitive decision-making settings, including pricing contexts that range from online retail to residential home rental. We study the…
Prompt-Counterfactual Explanations for Generative AI System Behavior
Sofie Goethals, Foster Provost, João Sedoc
As generative AI systems become integrated into real-world applications, organizations increasingly need to be able to understand and interpret their behavior. In particular, decis…
Causal Post-Processing of Predictive Models
Carlos Fernández-LorÃa, Yanfang Hou, Foster Provost +1
Organizations increasingly rely on predictive models to decide who should be targeted for interventions, such as marketing campaigns, customer retention offers, or medical treatmen…
Beware of "Explanations" of AI
David Martens, Galit Shmueli, Theodoros Evgeniou +14
Understanding the decisions made and actions taken by increasingly complex AI system remains a key challenge. This has led to an expanding field of research in explainable artifici…