Search Results for author: Kannan Srinivasan

Found 2 papers, 0 papers with code

Bias in Generative AI

no code implementations5 Mar 2024 Mi Zhou, Vibhanshu Abhishek, Timothy Derdenger, Jaymo Kim, Kannan Srinivasan

Moreover, we found that the evident gender and racial biases uncovered in our analysis were even more pronounced than the status quo when compared to labor force statistics or Google images, intensifying the harmful biases we are actively striving to rectify in our society.

Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers

no code implementations7 Sep 2022 Behnam Mohammadi, Nikhil Malik, Tim Derdenger, Kannan Srinivasan

eXplainable AI (XAI) is a class of methods that seek to address lack of AI interpretability and trust by explaining to customers their AI decisions.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Cannot find the paper you are looking for? You can Submit a new open access paper.