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Events for January 18, 2022
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AI and Data Ethics Training Session
Tue, Jan 18, 2022 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Special AI and Data Science Training Sessions
USC Viterbi School of Engineering
AI AND DATA ETHICS
January 11 & 18, 2022
Virtual webinars
These special training sessions are designed for students and faculty who want to learn about the ethical concerns in AI and data science, the technologies available for privacy and responsible use of data, the policies and regulations that are currently in place in this area, and the many open questions that need to be addressed. They will be taught by Viterbi faculty and instructors who teach ethics and privacy courses and sections. The sessions will be held online.
Session I: Data Ethics and Privacy
Tuesday January 11, 2022 at 4-6pm
Session II: AI Ethics and Responsibility
Tuesday January 18, 2022 at 12-2pm
Attendance is free, please RSVP at: https://tinyurl.com/AIandDataEthics
More Information: AI-DS-Ethics-Training.JPG
Location: Online
Audiences: Everyone Is Invited
Contact: USC Computer Science
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
New & Continuing MS Student Group Advising Session (CSCI/DSCI)
Tue, Jan 18, 2022 @ 03:00 PM - 03:50 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Virtual Group Academic Advising Sessions for continuing and new MS students will be available for the month of January. These are combined session for Computer Science and Data Science students only. Access link emailed directly to CSCI/DSCI students.
Location: Zoom
Audiences: Graduate
Contact: USC Computer Science
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.