AI glossary · Ethics, safety and privacy
Responsible AI
Responsible AI is the practice of building and using AI in ways that are safe, fair, transparent and accountable, with people kept in control.
Also called trustworthy AI, human-centred AI
In more detail
In practice it means testing for bias, protecting privacy, documenting how a system works, keeping a human in the loop for important decisions and having a way to report problems.
Many companies publish responsible AI principles; what matters is whether they are applied to real products.
Related terms
AI ethicsAI ethics is the study of how AI should be designed and used so it is fair, safe, transparent and respects people’s rights.AI safetyAI safety is the work of making sure AI systems behave reliably and don’t cause harm, from everyday mistakes to serious misuse and long-term risks.Human in the loop (HITL)Human in the loop means a person reviews, approves or corrects an AI system’s work at key points, instead of letting it act entirely on its own.Explainable AI (XAI)Explainable AI (XAI) is the effort to make AI decisions understandable to people, so you can see why a system gave a particular answer.
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