Fall 2023

VCAI Seminar Series (Fall 2023)

Thursday, September 28, 2023

2:00 pm – 3:15 pm

If We Want AI to be Explainable, We Need to Measure Interpretability Jordan Boyd-Graber – UMD

Thursday, October 5, 2023

2:00 pm – 3:15 pm

N/A

Thursday, October 12, 2023

2:00 pm – 3:15 pm

Revealing and Explaining Hidden Biases in AI Models Soheil Feizi – UMD

Thursday, October 16, 2023

2:00 pm – 3:15 pm

Innovating AI Accountability: Bridging Social Science and Technical Approaches Mona Sloane – UVA

Thursday, October 26, 2023

2:00 pm – 3:15 pm

Harnessing the Power of AI to Support Educators with Automated Feedback Jing Liu – UMD

Thursday, November 2, 2023

2:00 pm – 3:15 pm

Let’s get practical: measuring (algorithmic) bias in the real world [CANCELLED] Kristian Lum – UChicago

Thursday, November 9, 2023

2:00 pm – 3:15 pm

Audits and Accountability in the Age of Artificial Intelligence Inioluwa Deborah Raji – UC Berkeley

Thursday, November 16, 2023

2:00 pm – 3:15 pm

Philosophical and computational aspects of voting Eric Pacuit – UMD

Friday, November 17, 2023

1:00 pm – 2:00 pm

Sociotechnically Grounded Responsible Machine Learning Angelina Wang – Princeton

Monday, November 27, 2023

11:00 am – 12:0 pm

TBD

Tuesday, November 28, 2023

12:00 pm – 1:00 pm

The realities and illusions of AI Jared Moore – Stanford

Thursday, November 30, 2023

2:00 pm – 3:15 pm

Piecemeal knowledge acquisition for computational normative reasoning Ilaria Canavotto – UMD

Large Pre-trained Models Workshop

Wondering how LPMs affect the future of your research? Join our workshop Riding the LPM Wave: The Future of Academic Research in the Era of Large Pre-trained Models (1p-5p, Fri 3 Nov, Iribe 0318). We’ll announce registration soon.