Auditing AI For Compliance

Compliance into the Weeds

The award winning, Compliance into the Weeds is the only weekly podcast which takes a deep dive into a compliance related topic, literally going into the weeds to more fully explore a subject. Looking for some hard-hitting insights on sanctions compliance? Look no further than Compliance into the Weeds! In this episode, Tom and Matt consider the current difficulties for auditors to perform an audit on AI.

The use of AI in the tech world has brought with it a new concern: implicit bias. Auditing AI code is necessary to ensure that AI applications are free from bias and secure from cyber threats. This complex process involves examining the code of AI programs to ensure that they are functioning as intended and are not producing biased or unethical outcomes. In addition to auditing code, employers must also audit the outcomes of AI tools, and consider ethical considerations when defining the data that the AI is looking at. As AI hiring audits become increasingly necessary, it is more important than ever to ensure that AI applications are free from bias and secure from cyber threats.

Key Highlights

· AI Implicit Bias

· Auditing AI Code

· AI Hiring Audits

Resources

Matt

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Tom

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