AI Regulation and Compliance
Learning objectives
- Explain the global shift in AI governance from voluntary ethical principles to enforceable, risk-based regulatory frameworks.
- Identify major AI regulatory approaches worldwide, including the EU AI Act's risk-based model, the U.S. sector-specific and state-level landscape, and emerging international governance frameworks.
- Differentiate between non-binding AI principles and legally enforceable requirements such as transparency, human oversight, and risk management obligations.
- Recognize how AI regulations affect organizations operating across jurisdictions.
- Apply high-level strategies organizations can use to prepare for evolving AI compliance requirements.
Course overview
Artificial intelligence now shapes hiring decisions, loan approvals, and fraud detection across nearly every industry, and regulators worldwide are responding with enforceable rules rather than voluntary guidelines. Organizations face a shifting landscape of risk-based frameworks such as the EU AI Act, sector-specific rules in the United States, and international principles from groups like the OECD.
The individuals involved in the development and promotion of this course do not receive any compensation or financial benefits outside of their regular employment for their work on this course.
- 6 minutes
- Format: Video
- Tier: 1
- Course ID: 17774
English, Spanish, French Canadian, Portuguese, Thai, Chinese (Simplified), French, German, Italian, Japanese
Course Outline
- From Guidelines to Laws
- How AI is Regulated Today
- Major Frameworks Shaping AI Compliance
- What AI regulation Means for Organizations
- How to Prepare for Evolving Laws