National Business Institute

AI Risk Mitigation and Legal Strategies

National Business Institute

AI Risk Mitigation and Legal Strategies

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Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace

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Recently updated!

October 2026

Assessments

9 assignments¹

AI Graded see disclaimer
Taught in English

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There are 4 modules in this course

This module of AI Risk Mitigation and Legal Strategies — Introduction to AI Risk and AI Washing: Definitions, SEC and FTC Enforcement — covers 1 lesson: Introduction to AI Risk and AI Washing: Definitions, SEC and FTC Enforcement.By the end of this module, you'll be able to define AI washing and identify common patterns (loose 'AI' labeling, exaggerated predictive claims, predefined-script chatbots marketed as natural-language AI). You'll also apply SEC Gensler 2023 enforcement stance and Section 5 of the FTC Act to evaluate AI-marketing claims for risk of regulatory action.How to engage: Start with the first lesson and proceed in order. Read the per-lesson takeaways after each video. Take the practice quiz at the end of the module to check your understanding before moving on.

What's included

1 video5 readings2 assignments

This module of AI Risk Mitigation and Legal Strategies — IP Infringement in AI: Getty, New York Times, and Music Publishers Cases — covers 1 lesson: IP Infringement in AI: Getty, New York Times, and Music Publishers Cases.By the end of this module, you'll be able to analyze the case-law landscape (Getty Images v. Stability AI, New York Times v. Microsoft/OpenAI, Music Publishers v. Anthropic) to identify the IP-infringement risk patterns in AI training data. You'll also differentiate copyright infringement, DMCA CMI removal, open-source license violations, and unfair competition as distinct legal theories applicable to AI training data.How to engage: Start with the first lesson and proceed in order. Read the per-lesson takeaways after each video. Take the practice quiz at the end of the module to check your understanding before moving on.

What's included

1 video2 readings2 assignments

This module of AI Risk Mitigation and Legal Strategies — IP Hypothetical Cases and Strategic Actions: Open-Source Licenses and Audit Questions — covers 1 lesson: IP Hypothetical Cases and Strategic Actions: Open-Source Licenses and Audit Questions.By the end of this module, you'll be able to apply the IP risk-audit framework to a hypothetical scenario (open-source GPL license analysis, AI voice-modification copyright analysis) and identify the specific compliance gaps. You'll also recommend strategic actions for IP risk mitigation: training-data audits, vendor indemnification, open-source-license compliance documentation, and CMI preservation across the AI pipeline.How to engage: Start with the first lesson and proceed in order. Read the per-lesson takeaways after each video. Take the practice quiz at the end of the module to check your understanding before moving on.

What's included

1 video1 reading2 assignments

This module of AI Risk Mitigation and Legal Strategies — Data Privacy in AI: BIPA Lawsuits, Privacy Risk Assessment, and Vendor Management — covers 1 lesson: Data Privacy in AI: BIPA Lawsuits, Privacy Risk Assessment, and Vendor Management.By the end of this module, you'll be able to evaluate FTC enforcement risk (Cambridge Analytica deletion remedy, Ever Album, WW International) and BIPA biometric-privacy litigation (Facebook Texas, Vimeo, Macy's vendor-tainted data) for a representative AI deployment. You'll also construct a data-privacy compliance program with the five strategic actions Kempe recommends — data governance program, AI-specific privacy policies, privacy impact assessments, DPA/vendor-contract amendments, and employee training.How to engage: Start with the first lesson and proceed in order. Read the per-lesson takeaways after each video. Take the practice quiz at the end of the module to check your understanding before moving on.

What's included

1 video3 readings3 assignments1 peer review

Instructor

NBI - National Business Institute
National Business Institute
16 Courses229 learners

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.