Statistical Inference and (In)correctness
GenAI’s deceptively plausible outputs make it dangerously easy to overlook its limitations.
GenAI’s deceptively plausible outputs make it dangerously easy to overlook its limitations.
Researchers rushing to adopt AI without understanding the limitations risk committing scientific misconduct.
At CAT Lab, data visualizations and data art build intuition and encourage us to look at online communities from new perspectives.
Moderators of online communities, often volunteers, work hard to protect their communities from harassment, misinformation, trolls, and other online harms. But which policies and procedures actually work?
We’ve released a guide for collaborators, students, and anyone who wants to steward research data the CAT Lab way.
How can scientists, technologists, and activist-scholars learn to create positive transformations in our work and our world? And how can […]
How can researchers verify the claims made by technology platforms about data access when the realities of access may depend […]
How can the engineers and data scientists who work on public-interest research offer mutual support in our work to create […]
As social scientists who work with digital data increasingly set aside informed consent, can designers bring fundamental ethical values back […]
Have you ever gotten a finger squeeze from a pulse oximeter? This device can measure your blood-oxygen without a painful […]