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Ethics, safety and privacy

AI ethics, safety and privacy terms

The risks and responsibilities that come with AI: bias, deepfakes, privacy, prompt injection, alignment, regulation and how to use AI with care. 21 terms

All terms 162 AI basics 17 Generative AI and LLMs 22 Chatbots and assistants 14 Prompts and settings 16 Images, video, audio and writing 17 Agents and automation 13 Machine learning 28 Building and running AI 14 Ethics, safety and privacy 21

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21 terms

A

AI alignmentAI alignment is the challenge of making an AI system’s goals and behaviour match what people actually intend and value.AI and copyrightAI and copyright covers two open questions: whether training AI on copyrighted work is allowed, and who, if anyone, owns what AI creates.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 content detectorAn AI content detector is a tool that estimates whether text or images were made by AI. Its results are guesses, not proof.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 jailbreakAn AI jailbreak is a prompt designed to trick a chatbot into ignoring its safety rules and producing content it is meant to refuse.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.AI regulationAI regulation is the set of laws and rules governments create to manage the risks of AI, such as the EU AI Act.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.AI slopAI slop is low-quality AI-generated content, such as generic articles, fake images or spammy videos, mass-produced to fill feeds and search results.AI sycophancyAI sycophancy is when a chatbot tells you what you want to hear, agreeing with you or praising your ideas, even when that makes its answer less accurate.AI washingAI washing is exaggerating or misrepresenting how much a product uses AI, or what its AI can do, to make it sound more advanced.AI watermarkingAI watermarking marks content as AI-generated, using visible labels or hidden signals, so people and platforms can tell where it came from.AnthropomorphismAnthropomorphism is treating an AI as if it had human feelings, thoughts or intentions, because it talks like a person.Automation biasAutomation bias is the tendency to trust a computer’s answer more than we should, and to check it less carefully than we would a person’s.

D

DeepfakeA deepfake is a fake video, image or audio clip made with AI to show a real person saying or doing something they never did.

E

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.

G

GuardrailsGuardrails are checks and limits built into an AI product to stop harmful, off-topic or unauthorised outputs and actions.

P

Prompt injectionPrompt injection is an attack where hidden instructions in content an AI reads, such as a web page or email, trick it into doing something it shouldn’t.

R

Red teamingRed teaming is deliberately attacking an AI system, the way an adversary would, to find weaknesses before it is released.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.

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