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About
This module Explore responsible AI, focuses on Understanding and implementing responsible AI practices, including best practices, principles, and the global implications of human-AI interaction.
In this module you'll learn about:
- AI Content: Verify facts from multiple sources; watch for bias and errors.
- Deepfakes: Risk of misinformation and impersonation; major security concern.
- Human-AI Issues: Focus on data privacy, bias, transparency, and legal responsibility.e global human-AI interactions by analyzing key factors such as data privacy, algorithmic bias, transparency, and legal liability.
Prerequisites: None
(34 Minutes)
Campus AI Support on Tools and Vendors
For all support, training, and questions regarding these tools, please contact the Service Desk, Knowledge Base, or submit a Ticket.
To request approval for new tools, review the Technology Acquisition Review Process.
To mitigate these risks, faculty, staff, and students should only use campus-supported tools and adhere to the Confidential Information Policy, AI Common Sense Guidelines.