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Responsible AI, Security, Governance, and Compliance

Now we're getting into a section that is a little less fun than the other ones, but it's necessary that we go through it because it is an important section and a big part of the exam. This section is about responsible AI, security, governance, and compliance for AI solutions. This content is mostly text-based and focuses on responsibility and security aspects.

Section Overview

The four main topics we'll cover in depth are:

Responsible AI icon

  • Ensures AI systems are transparent and therefore trustworthy, so that users trust the outcomes
  • Focuses on mitigating potential risks and negative outcomes
  • Must be maintained throughout the AI lifecycle:
    • Design
    • Development
    • Deployment
    • Monitoring
    • Evaluation

Security icon

  • Ensures confidentiality, integrity, and availability of systems are maintained
  • Applies to:
    • Data
    • Information assets
    • Infrastructure

Governance icon

  • Ensures we can add value and manage risk in business operations
  • Provides clear policies, guidelines, and oversight mechanisms
  • Ensures all systems align with legal and regulatory requirements
  • Goal is to improve trust

Compliance

Compliance icon

  • Ensures adherence to regulations and guidelines for sensitive domains such as:
    • Healthcare
    • Finance
    • Legal applications

Important Note

Responsible AI, security, governance, and compliance are distinct domains, but they have a lot of overlap in the way they act, behave, and try to improve your system.

Because there's so much overlap between these areas, some repetition in content is normal when discussing these topics.

Each of these topics will be covered in greater detail in the following lectures.