AI Security

Instructor: Starr McFarland

Skills you'll gain

  •   Machine Learning
  •   Generative AI
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Legal Strategy
  •   Governance
  •   Risk Management
  •   Data Ethics
  •   Ethical Standards And Conduct
  •   Law, Regulation, and Compliance
  •   Information Privacy
  •   Program Development
  •   Artificial Intelligence
  • There are 6 modules in this course

    Whether you're in a technical role wanting to learn more about the legal aspects of AI, or in a legal role wanting to learn more about the technical aspects of AI, this course is for you. By the end of the course, you will have a thorough understanding of AI, it's uses, and the contexts in which it will likely be implemented. We'll explore types of AI, machine learning, the AI development lifecycle, AI governance & risk management, the current and emerging legal landscape surrounding AI, as well as discussions and debates in the field. At the end of each module, an assessment will measure your understanding of the lessons presented. After completion, you should be able to describe foundational concepts of AI systems and their use cases, the impacts of AI, and responsible AI principles; explain how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed; and detail the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.

    Building AI

    Responsible AI

    Existing & Emerging Laws

    AI Governance & Risk Management

    AI Security & Privacy

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