Responsible use is tested the day something goes wrong: a wrong decision, a biased output, a client who asks how a recommendation was produced. Companies without an answer improvise one under pressure.
It is not a policy document filed away. It is a set of working rules — what data AI can touch, which decisions still require a person, who is accountable when it fails.