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5 Keys to planning for increased AI regulation

Avoid AI risks with the right the right framework, training, and controls.

As regulators draw rules around automated intelligence (AI), these concepts will put your organization in a stronger position to avoid risk:

1

Define the appropriate AI governance framework, which includes identifying various risk levels for AI systems, and setting up sustainable data-management practices. (See illustration below)

2

Know, prioritize, and manage your AI risks, including inventorying and classifying your current AI landscape.

3

Initiate a scalable approach to addressing AI risks, including automating your systems to evaluate and manage risks and training your employees on AI ethics and compliance.

4

Develop an ethics and governance program that features AI literacy and training courses.

5

Embed trusted AI in innovation, designs, and controls, which should include auditing and updating your systems regularly.

A new regulatory framework for AI

Companies will be required to comply with new, even more restrictive AI rules and regulations from federal, state and international governing bodies. To stay ahead of the curve, now is the time to establish a compliance framework that includes the following elements:

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