AI Ethics

Personal information such as an image, voice, location, or contact detail should be handled lawfully and respectfully. In ordinary responsible use, the person should be informed about the purpose and give appropriate consent before the data is used. Option A supports privacy and control. Sharing data widely, using it secretly, or treating silence as consent is unsafe.

AI ethics examines how technology affects people and whether it is designed and used responsibly. Important concerns include fairness, privacy, safety, transparency, accountability, and preventing harm. Option A captures these concerns. Processing speed, storage efficiency, and screen settings may be technical matters, but they do not by themselves answer ethical questions.

A chatbot may produce a plausible answer that is inaccurate, incomplete, outdated, or unsupported. The student should compare the historical claim with reliable books, educational resources, archives, or official sources and cite the sources appropriately. C is correct. Blind acceptance is unsafe, while rejecting every AI answer is unnecessary if the claim is carefully checked.

AI may produce an incorrect, incomplete, or biased output, even when it sounds confident. Sharing such an output without checking can spread misinformation and cause harm. Therefore, A is the action to avoid. Setting a clear purpose, protecting privacy, and keeping human oversight are all responsible practices that reduce risk and improve accountability.

AI chatbots generate responses from training data and learned patterns; they do not possess a guarantee of truth. They may misunderstand a prompt, repeat an error, or present biased or outdated information confidently. Reliable sources and teachers should therefore be used for checking. Speed does not prove accuracy, and AI does not replace all human guidance.

Good digital citizenship means using AI honestly, safely, and responsibly while respecting other people’s privacy, dignity, and rights. It includes checking information before sharing, protecting personal data, and considering possible harm. Option A expresses these behaviours. Sharing unverified information or collecting private data without permission undermines trust and responsible citizenship.

A chatbot generates text from learned patterns and the information available to it; fluent wording is not proof that the content is true, current, or complete. Important facts should therefore be checked against reliable sources, especially for school, health, legal, or safety decisions. Chatbots do not possess human experiences simply because they use personal-sounding language, and systems may need updating.

AI can produce errors because of poor data, unusual inputs, bias, or limitations in its design. Human supervision allows people to review important outputs, notice harmful or unfair results, correct mistakes, and decide when the system should not be followed. It is not meant to hide errors, expose private information, or surrender every decision to a machine without judgment.

Transparency provides understandable information about what a system is intended to do, what data or factors it uses, and how its output should be interpreted. This can help users question errors, identify unfair treatment, and assign responsibility. Transparency is not the same as revealing every technical detail, but it is the opposite of hiding the basis of a decision or making it impossible to understand.

AI is a tool created, configured, deployed, and used by people. The relevant people and organisations remain responsible for choosing its purpose, checking its outputs, protecting affected users, and taking action on decisions. An AI system cannot independently understand moral or legal responsibility, and responsibility does not disappear merely because software was involved in producing an outcome.

Ethical AI use requires honesty about how AI is being used, protection of personal information, attention to safety, respect for people, and responsible checking of outputs. Obtaining data without permission can violate privacy, spreading misleading content can cause harm, and hiding known errors prevents accountability. Ethical practice aims to reduce harm and preserve trust rather than conceal problems.

Privacy is at risk when information that can identify a person, such as a name, location, contact detail, or photograph, is collected or shared without proper permission. Thus, option C is correct. Secure storage and informed consent reduce privacy risks, while checking accuracy mainly concerns reliability.

An AI career app can offer useful possibilities, but it may not know a student’s complete interests, abilities, family situation, or opportunities. Option B is correct because the recommendation should be compared with personal goals and discussed with a trusted teacher or counsellor. AI should support, not replace, human judgement.

Reliable AI use depends on relevant, good-quality data and careful checking of the system’s results. Option D includes both safeguards. Verification can reveal errors, bias, or unsuitable recommendations before they cause harm. Unchecked outputs, biased training data, and an unclear purpose reduce trustworthiness rather than improve it.

Good digital citizenship means using technology safely, ethically, and respectfully, while protecting privacy and checking information before sharing it. Option C states this broad responsibility. Stealing data, sharing unverified AI content, or distributing someone’s image without permission can cause harm and violate privacy or trust.

Human review is especially important when an AI decision may affect hiring, loans, healthcare, education, safety, rights, or access to opportunities. Errors or bias in such settings can seriously harm people. Option A is correct; speed, internet availability, or a simple calculation does not by itself determine the level of oversight needed.

Training data should represent the relevant groups and situations fairly, with quality checks for missing or distorted information. Diverse and balanced data can reduce the chance that a model systematically favours or harms one group, so option B is correct. It does not remove all bias automatically, but it is an important safeguard.

Before using an AI system, the user should understand what it is intended to do, what data it uses, and what risks may arise. This supports transparency, privacy protection, and careful checking of results. Option D is correct. Unauthorised collection, hiding errors, and unclear purpose are unsafe and unethical practices.

A responsible user treats AI output as assistance rather than unquestionable truth. The user should understand its meaning, check important facts and sources, consider possible bias, protect personal information, and use the result appropriately. Option A includes these duties; the other choices encourage misinformation, privacy violations, or blind dependence.

If an AI model learns from data that unfairly represents groups or contains historical bias, its predictions may disadvantage some people. This can produce discriminatory or unfair outcomes, making option B a genuine risk. Saving time, personalised practice, and assistance with disease signs are potential benefits, though they still require responsible use.