Training Human-AI Teams ABSTRACT AI systems are augmenting humans' capabilities in settings such as healthcare and programming, forming human-AI teams. To enable more accurate and timely decisions, we need to optimize the performance of the human-AI team directly. In this thesis, we utilize a mathematical framing of the human-AI team and propose a set of methods that optimize the AI, the human, and the interface in which they communicate to enable better team performance. We first show how to provably…

The Economic Engineering of Personalized Experiences ABSTRACT Consumer applications employ algorithms to deliver personalized experiences to users, among others, in search, e-commerce, online streaming, and social media, impacting how users spend their time and money. The dissertation studies the design of such personalization algorithms and the social consequences of their deployment. The first chapter analyzes how preference measurement error differentially affects user groups in optimal personalization. Under such measurement error, welfare maximization is incompatible with equalizing the utility of (statistical)…

Causal Inference Under Privacy Constraints ABSTRACT Causal inference is an important tool for learning the effects of interventions in observational or experimental settings. It is widely used in many fields such as epidemiology, economics, and political science to find answers like the average treatment effect of a medical procedure or the individual treatment effect of a personalized ad campaign. In commercial applications, the era of big data allows companies to increase their experiment volume, incentivizing them, in turn, to collect…

Evaluating the effects of pharmaceutical interventions, social policies, and exogeneous shocks on people's health and behavior ABSTRACT Aging individuals tend to suffer from chronic conditions, some of which manifest in midlife (e.g., type 2 diabetes and hypertension) and some in late life (e.g., neurodegenerative disorders). As the global population increases and as people live longer, finding strategies to prevent or delay these diseases has become a key priority. Concurrent advances in public health and biomedicine offer an array of pharmaceutical…

All IDSS and extended IDSS community members welcome, including students, postdocs, faculty, and staff. Snacks provided!

All IDSS and extended IDSS community members welcome, including students, postdocs, faculty, and staff. Snacks provided!

All IDSS and extended IDSS community members welcome, including students, postdocs, faculty, and staff. Snacks provided!