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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: Workshop: Artificial Intelligence Tools for Research and Writing by Erin Burns
- Date:
- Wednesday, March 27, 2024
- Time:
- 12:00pm - 1:00pm
- Time Zone:
- Central Time - US & Canada (change)
- Location:
- Room 309
- Locations:
- University Library
- Audience:
- Undergrads, Graduates, Staff and Faculty
- Categories:
- Workshops