Machine learning is increasingly used to inform decision making in sensitive situations
where decisions have consequential effects on individuals' lives. In these settings, in …

Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …

Classification models are often used to make decisions that affect humans: whether to
approve a loan application, extend a job offer, or provide insurance. In such applications …

When predictions support decisions they may influence the outcome they aim to predict. We
call such predictions performative; the prediction influences the target. Performativity is a …

The combination of increased availability of large amounts of fine-grained human behavioral
data and advances in machine learning is presiding over a growing reliance on algorithms …

Machine learning is increasingly used to inform decision-making in sensitive situations
where decisions have consequential effects on individuals' lives. In these settings, in …

As machine learning becomes increasingly incorporated within high impact decision
ecosystems, there is a growing need to understand the long-term behaviors of deployed ML …

Advances in machine learning (ML) in recent years have enabled a dizzying array of
applications such as data analytics, autonomous systems, and security diagnostics. ML is …

Advances in machine learning (ML) in recent years have enabled a dizzying array of
applications such as data analytics, autonomous systems, and security diagnostics. ML is …

Growing AI readership (proxied for by machine downloads and ownership by AI-equipped
investors) motivates firms to prepare filings friendlier to machine processing and to mitigate …