Protect the trust your business has worked to earn.

Keep people accountable

Know who is responsible for approving AI uses and reviewing important outputs. People should have the authority to question a result, correct an error, or stop a process that is not working as intended.

Treat information with care

Understand what information a tool receives, who can access it, and whether that use is appropriate. Employees need clear instructions about customer, employee, and confidential business information.

Check the work

An answer that sounds convincing can still be incorrect. Match the level of review to the consequence of an error, especially when output could affect a person's money, opportunity, access, or wellbeing.

Be clear about the experience

Customers should understand when they are interacting with an automated system in situations where that knowledge matters. Make it easy to reach a person and to challenge or correct a problematic result.

Consider who benefits and who may be affected

Evaluate whether an AI use creates unfair barriers, adds burdens to employees, or makes a service harder to access. Include the people affected when testing changes.

Make responsibility part of daily work

These are practical starting principles. They help a business ask better questions and build better habits. Specific obligations depend on the use, industry, and circumstances.

Supporting invitation: Get updates as ACAIC develops additional business education on effective and responsible AI use.