AI Risks and Security in Smart Manufacturing
This module explores the ethical, security, and governance challenges essential for the responsible implementation of AI in manufacturing environments. Students learn to identify and mitigate risks associated with bias, data privacy, and intellectual property while establishing robust oversight practices. The curriculum emphasizes the importance of human-in-the-loop decision-making and accountability to ensure AI tools are used safely, transparently, and effectively.
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Credits: 0
| CRN | Class type | Location | Days & time | Dates | Seats available | More info |
|---|---|---|---|---|---|---|
| 15310 | Online (no scheduled meetings) | Not applicable | Available 24/7 | From February 22 through March 12, 2027 | Instructor: STAFF Tuition: $0 Fees: $0 | |
| and Online (scheduled meetings) | Not applicable | Friday from 9 to 11:50am | From February 22 through March 12, 2027 | Instructor: STAFF |
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