In the information age, it has never been easier to gather, analyze, and disseminate data, which has resulted in exciting opportunities for research and commerce. However, unethical data treatment can lead to individual and societal harm, including loss of privacy, data misrepresentation and misinformation, bias, and other disparate impacts. The 2022 Women in Data Science—Greater Lafayette Conference will highlight the role data ethics plays in good data stewardship and avoiding harm.
Time (Eastern Time) | Event |
---|---|
11:00 AM - 11:05 AM | Welcome Beth McNeil, Dean of the Libraries and School of Information Studies |
11:05 AM - 11:50 AM | Panel Discussion |
11:50 AM - Noon | Audience Q&A |
Time (Eastern Time) | Event |
---|---|
11:00 AM - 11:50 AM | Workshop “Data ethics practices with machine learning and AI,” presented by Karen DSouza |
11:50 AM - Noon | Audience Q&A |
Registration for the Greater Lafayette @ Purdue event is free and open to the public.
After registering, you will receive a confirmation email containing information about joining the meeting.
WiDS Worldwide2022 Live Stream (Paid Registration is Required)
Data ethics encompasses the ethical topics that surround the use of data. Machine learning in AI applications has improved our lives. However, problems of bias, fairness, and privacy unknowingly creep in after deployment. The presentation discusses data ethics considerations in the real world, tools available to mitigate the risk from data bias, and a demonstration of bias in a dataset. Join us to learn data ethics best practices in your AI-supported applications.
Contact Zoeanna Mayhook at zmayhook@purdue.edu or 765-494-6243
Follow WiDS on social media
WiDS West Lafayette @ Purdue University is an independent event that is organized by ambassadors Melissa Chomintra, Zoeanna Mayhook, and Bethany McGowan as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.