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CodeSignal

Accountability, Transparency, and Governance

via CodeSignal

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Overview

This course tackles who's responsible when AI systems cause harm or unintended outcomes. You'll explore transparency and explainability methods for building trust in AI. The module covers emerging governance structures—from legal frameworks to ethics boards—and how they shape AI's societal role across finance, education, employment, and social media.

Syllabus

  • Unit 1: Accountability in AI
    • Quiz about Accountability in AI
    • AI Misdiagnosis Accountability Review
    • Quiz on AI Liability and Transparency
  • Unit 2: Liability and Legal Perspectives in AI
    • Quiz about Product Liability in AI
    • AI Liability and Accountability Discussion
    • Quiz on Professional Liability in AI
  • Unit 3: Transparency and Explainability in AI Systems
    • Quiz on Explainable AI and Models
    • [GCIF] Q2 - AI Explainability_e9T4Q
    • Quiz on AI Transparency and Explainability
  • Unit 4: AI Governance & Ethical Frameworks
    • Quiz on AI Ethics and Guidelines
    • [GCIF] Q2 - AI Ethics Review_p9Jt3
    • Quiz on AI Rules and Ethics Boards
    • AI Ethics Concerns

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Deidra Pawelczyk
    Deidra Pawelczyk @Deidraellen
    This course was very clear, and the course broke everything down really well. The examples were great, providing insight.
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