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Coursera

Create Clear AI Use Disclosures

Coursera via Coursera

Overview

Google, IBM & Meta Certificates – 40% Off
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This Short Course was created to help Legal professionals draft, adapt, and evaluate AI Use Disclosures that are clear, compliant, and stakeholder-ready. By completing this course, you'll be able to produce disclosure documents you can deploy at work the very next day; naming AI systems, specifying data inputs, documenting human oversight, and linking to opt-out mechanisms. By the end of this course, you will be able to: - Draft a customer-facing AI Use Disclosure that lists each AI system, its data inputs, human oversight steps, and opt-out instructions - Adapt the customer disclosure into an employee-facing variant that emphasizes internal monitoring, performance evaluation, and grievance channels - Evaluate the three disclosure variants for completeness using the template checklist to ensure model description clarity and data-retention statements This course is unique because it takes you from a single customer-facing document through a structured adaptation process to produce three audit-ready variants, all evaluated against a professional disclosure checklist grounded in the EU AI Act, GDPR, and US state privacy law. To be successful in this course, you should have a background in legal drafting or compliance work at a mid-level (CB2) professional standard.

Syllabus

  • Drafting a Customer-Facing AI Use Disclosure — Foundation
    • Learners draft a complete customer-facing AI Use Disclosure for a chat-based support system, covering AI system identification, data inputs, human oversight steps, and opt-out instructions.
  • Adapting the Customer Disclosure Into Employee and Partner Variants — Application
    • Learners adapt the completed customer-facing AI Use Disclosure into an employee-facing variant that addresses internal monitoring, HR analytics, performance evaluation, and grievance channels.
  • Evaluating All Three Disclosure Variants for Completeness — Synthesis
    • Learners evaluate all three AI Use Disclosure variants against the AI Use Disclosure Template Checklist, identify completeness gaps, and produce a documented audit log.

Taught by

Professionals in the Industry

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