
Thought Leaders to Address How Bias and Lack of Diversity Impact Data, Software, and Institutions
This month, the Machine Learning Center at Georgia Tech (ML@GT) will virtually host a panel discussion on how bias and lack of diversity in the workforce impact the technology industry and higher education.
The panel will feature thought leaders from higher education and the industry, including Charles Isbell, dean of Computing at Georgia Tech and a ML@GT faculty member. Isbell will be joined by Georgia Tech alumnus Rapha Gontijo Lopes, co-founder of Queer in AI, organizer of Radical AI and AI resident at Google Brain, as well as Tiffany Deng, program management lead for machine learning fairness and responsible artificial intelligence (AI) at Google. The panel will be moderated by ML@GT Associate Director Deven Desai.
The @ASigcse recently spotlighted her work (page 6). Read the Q&A with Tamara: https://t.co/RmcVTRYhDK pic.twitter.com/sznol39SAb
— Georgia Tech Computing (@gtcomputing) November 13, 2023
A wrongful arrest. A “racist robot.” A call for new laws.
— Georgia Tech Computing (@gtcomputing) November 10, 2023
A @GeorgiaTech experiment trained a robot to seemingly act out racist behavior, to prove bias can exist in #AI. @MatthewGombolay opens up his lab to show where research can help address tough social issues. https://t.co/21F7IV0vbH pic.twitter.com/P3GD29lth1