Information Justice, Human Rights, and Technology Ethics

Supporting information and technology practices and policies that break down barriers.

Research Projects

Crowdsourced Data: Accuracy, Accessibility, Authority (CDAAA)
Principal Investigator(s): Victoria Van Hyning
Funder: Institute of Museum and Library Services
Research Areas: Accessibility and Inclusive Design > Digital Humanities > Information Justice, Human Rights, and Technology Ethics > Library and Information Science > Social Networks, Online Communities, and Social Media
CDAAA explores the sociotechnical barriers libraries, archives, and museums face in integrating crowdsourced transcriptions to discovery systems. Using data from surveys, semi-structured interviews, data integration demonstrations, and user testing with people who use screen readers, we will produce individualized LAM Partner Reports, a summative white paper, and open-access journal articles.

Recent News

AI

How to Make Critical Decision-Making Systems Fairer and Build Trust in AI

Researchers from UMD and GW are creating a new measure to make AI systems involved in parole decisions and loan approvals fairer
Still photo of a music video generated by AI

Credit: NurPhoto/Getty Images

Scientific American: Everything to Know About OpenAI’s New Text-to-Video Generator, Sora (ft. Irene Pasquetto)

A new AI software that generates realistic videos is raising concerns around misinformation applications
Photo of people in a classroom setting at the Enoch Pratt Library in Baltimore, receiving training

Inaugural digital literacy training for trainers at the Enoch Pratt Library in Baltimore

Partnering with Enoch Pratt—and Beyond

UMD Extension and the INFO College partner to bring digital literacy to all Marylanders