Who should be responsible for teaching AI ethics — schools, employers, or regulators?

A Shared Responsibility Rather Than a Single Owner

There isn’t a broad consensus that responsibility for AI ethics education should rest primarily with any single actor. Instead, most educators, workforce development experts, and policy analysts examining this question argue that effective AI ethics education realistically requires a distributed, complementary approach involving schools, employers, and regulators together, each contributing something distinct based on their particular strengths, reach, and relationship to different populations and stages of life.

This distributed framing reflects a practical recognition that no single institution is well positioned to address every relevant audience, context, and timing need on its own.

What Each Actor Is Generally Seen as Best Positioned to Provide

Schools are generally viewed as well-suited to building foundational ethical reasoning skills and early AI literacy, reaching young people during a formative period of education before they enter the workforce or make significant independent decisions involving AI. This foundational education is seen as valuable groundwork, even though it typically can’t address the highly specific, applied AI ethics questions that arise later in particular professional contexts, since schools generally can’t anticipate every specific way a future graduate might eventually encounter AI-related ethical questions in their particular career.

Employers are often seen as responsible for more specific, applied training relevant to how AI tools are actually used within a particular job, industry, or organizational context — building on whatever foundational ethical reasoning skills an employee may have developed earlier, but adding the practical, role-specific knowledge that only an employer, familiar with its own particular use of AI tools and the specific risks relevant to its industry, is well positioned to provide.

Regulators can contribute a different but complementary role, generally by establishing baseline requirements or standards intended to ensure a minimum level of AI ethics awareness or competency in particularly high-stakes or regulated contexts, such as certain licensed professions or industries where AI-related decisions carry especially significant consequences. Regulators are less well positioned to provide comprehensive, ongoing AI ethics education themselves, but can help ensure certain minimum standards are met across a given sector.

Where Gaps Can Emerge

This distributed model, while generally seen as the most realistic and complementary approach, can also leave gaps when no single actor adequately addresses a particular population’s needs. Adults who are not currently in school, and whose employer doesn’t provide relevant training, may receive little to no structured AI ethics education at all, relying instead on informal sources like media coverage, self-directed research, or general life experience — a gap that some advocates argue points to a continued need for broader public AI literacy initiatives that don’t rely solely on the school-employer-regulator framework to reach everyone.

Bottom Line

Most educators and policy analysts argue responsibility for AI ethics education should be shared across schools, employers, and regulators rather than resting with any single actor, with schools generally building foundational ethical reasoning skills, employers providing role-specific applied training, and regulators setting baseline standards in high-stakes contexts — though this distributed approach can still leave meaningful gaps for populations not well served by any of these three channels.

Go deeper

• What Is the Difference Between AI Safety and AI Ethics?
• Do Doctors Have to Disclose When AI Assisted in a Diagnosis?
• What Has The American Bar Association Said About AI In Legal Practice?