AI glossary · Ethics, safety and privacy
AI ethics
AI ethics is the study of how AI should be designed and used so it is fair, safe, transparent and respects people’s rights.
Also called ethical AI, ethics in AI
In more detail
It covers questions like: is the system biased? Who is responsible when it causes harm? Is people’s data protected? Can its decisions be explained? How does it affect jobs and the environment?
Organisations turn these principles into practice through responsible AI policies, and governments through AI regulation.
Related terms
Responsible AIResponsible AI is the practice of building and using AI in ways that are safe, fair, transparent and accountable, with people kept in control.AI biasAI bias is when an AI system produces results that are unfair to certain groups of people, usually because of skewed training data or design choices.AI privacyAI privacy is about how AI tools collect, store and use your personal information, including what you type into chatbots and whether it is used for training.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.AI regulationAI regulation is the set of laws and rules governments create to manage the risks of AI, such as the EU AI Act.
Browse related tools
AI tools listed on BroUseAI in these categories.
