The White House’s ten principles for AI

Must be a spoof, surely? Something apparently serious emerging from the Trump administration. Ten principles for government agencies to adhere to when proposing new AI regulations for the private sector. The move is the latest development of the American AI Initiative, launched via executive order by President Trump early last year to create a national strategy for AI. It is also part of an ongoing effort to maintain US leadership in the field.

Here are the ten principles, for what they’re worth:

Public trust in AI. The government must promote reliable, robust, and trustworthy AI applications.

Public participation. The public should have a chance to provide feedback in all stages of the rule-making process.

Scientific integrity and information quality. Policy decisions should be based on science.

Risk assessment and management. Agencies should decide which risks are and aren’t acceptable.

Benefits and costs. Agencies should weigh the societal impacts of all proposed regulations.

Flexibility. Any approach should be able to adapt to rapid changes and updates to AI applications.

Fairness and nondiscrimination. Agencies should make sure AI systems don’t discriminate illegally.

Disclosure and transparency. The public will trust AI only if it knows when and how it is being used.

Safety and security. Agencies should keep all data used by AI systems safe and secure.

Interagency coordination. Agencies should talk to one another to be consistent and predictable in AI-related policies.