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AI Literacy Part 7: Artificial Intelligence, Ethics, and Social Justice - Hybrid - Brian Quinn, Erin Burns, Jenni Jacobs, Josh Salmans In-Person / Online

Hybrid- both face to face and online web based interaction

Gain a deep understanding of the ethical challenges and social implications of AI technologies, and how to design, develop, and deploy AI systems responsibly. Understand and apply key ethical principles relevant to AI, such as transparency, fairness, accountability, and privacy. Explore strategies for ensuring inclusivity and avoiding discriminatory practices in AI development

Ethics and inclusion are key considerations in the development and deployment of AI technologies. Learn how to recognize and mitigate biases in AI algorithms and data and to evaluate and ensure fairness in AI systems, including demographic parity and equal opportunity. Understand the ethical issues surrounding data collection, storage, and usage in AI applications. Explore privacy-enhancing technologies and data anonymization techniques. Learn about ethical guidelines for AI creators and users.

Related LibGuide: AI Literacy in the Age of Generative AI by Erin Burns

Wednesday, March 27, 2024
12:00pm - 1:00pm
Time Zone:
Central Time - US & Canada (change)
Room 309
University Library
  Undergrads, Graduates, Staff and Faculty  

Registration is required. There are 36 in-person seats available. There are 106 online seats available.

Event Organizer

Brian Quinn
Jenni Jacobs
Erin Burns

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