Responsible AI
Building and using AI in ways that are fair, safe, transparent and respectful of people.
In everyday terms
Covers privacy, fairness, explaining decisions, human oversight and following laws such as the EU AI Act.
For professionals
Governance frameworks spanning risk assessment, documentation, evaluation, monitoring, accountability and regulatory compliance.
Think of it like…
Health and safety rules for a powerful new kind of machinery.
You've already seen it
Company AI policies, "this content was AI-generated" labels, AI regulation in the news.
Myth vs reality
Myth: Responsible AI is only the tech company's job.
Reality: Anyone using AI at work makes choices about data, checking and disclosure.
Quick check
Which is a responsible use of AI at work?
- Pasting customer personal data into any free tool
- Checking AI output before sending it
- Hiding that a decision was automated
- Never reading the output
Show answer
Checking AI output before sending it: Human review is a core practice.