For the December 2 CTG Insights Exchange Session, UAlbany Department of Communications Associate Professor Archana Krishnan will present, "The AI Data Paradox: Negotiating Tensions Between User Privacy & Comprehensive Training Data." This presentation offers a critical examination of the tension between protecting individual user data and the need for heterogenous training datasets to reduce bias and improve model robustness.

Albany News Channel 6 story on a published study by CTG Researcher Seulki Lee-Geiller. The study, "AI as a partisan cue: the relational dynamics of AI-assisted campaign messaging in election integrity perceptions,” published in the Journal of Elections, Public Opinion and Parties, explains how political affiliation influences perceptions of AI-assisted campaign messaging and election integrity.

For the November 18 session, Vrije Universiteit Assistant Professor nd CTG Research Fellow Kayla Schwoerer will discuss her research focused on analysis of 5,863 datasets published by 15 U.S. cities using the same open data platform. This study links choices about titles, descriptions, tags, licensing and supporting documentation to observed views and downloads.  

Superpower Daily story on a published study by CTG Researcher Seulki Lee-Geiller. The study, "AI as a partisan cue: the relational dynamics of AI-assisted campaign messaging in election integrity perceptions,” published in the Journal of Elections, Public Opinion and Parties, explains how political affiliation influences perceptions of AI-assisted campaign messaging and election integrity.

Phys.org story on a published study by CTG Researcher Seulki Lee-Geiller. The study, "AI as a partisan cue: the relational dynamics of AI-assisted campaign messaging in election integrity perceptions,” published in the Journal of Elections, Public Opinion and Parties, explains how political affiliation influences perceptions of AI-assisted campaign messaging and election integrity.

UAlbany story on a newly published study by CTG Researcher Seulki Lee-Geiller. The study, "AI as a partisan cue: the relational dynamics of AI-assisted campaign messaging in election integrity perceptions,” published in the Journal of Elections, Public Opinion and Parties, explains how political affiliation influences perceptions of AI-assisted campaign messaging and election integrity.

UAlbany story on the AI for Good Challenge that was held Oct. 16-17 at UAlbany. SUNY students and faculty collaborated on the development of AI-powered tools to combat loneliness, strengthen social connections and address community needs.  CTG Research Director, Rockefeller College Professor, and AI & Society College Associate Director Mila Gascó-Hernández helped organize and facilitate the event. Mila is quoted in the article. 

Center for Technology in Government (CTG) researcher Seulki Lee-Geiller discusses her research that examines digital government, citizen participation and public trust, including how information format, digital literacy and interface design shape people’s experiences with government services. More recently, Dr. Lee-Geiller has focused on the democratic implications of AI, including its use in elections and policymaking and how AI can be governed in ways that promote transparency, accountability and other public values.