Ethics & AI cases
AI tools, personal data and accountability
The ICO separates legal interpretation from recommended practice and organises the guidance around risks including fairness, transparency, security and individual rights.
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12 results for “AI ethics”
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Showing 1–12 of 12
Ethics & AI cases
Ethics, Technology and Engineering
Introduces ethical theories, moral argument, conflicting values, design trade-offs and responsibility across organisations. Useful foundations for making and explaining difficult technology decisions.
Learning & guides
Ethics, privacy & responsible practice
Training, ethical situations, research guidance, AI and LLM cases, and enforcement examples.
UX Sectors
Games & interactive entertainment
Help players learn controls, understand feedback and participate in an experience without removing its intended challenge.
Learning & guides
How do I maintain standards under pressure?
Build accessibility, privacy and accountability into the work.
Learning & guides
Watch: Human roles & AI
Curated videos on human judgement, agency, learning and responsibility around AI.
Jobs & PhDs
Human–Computer Interaction and Critical Computing
A project combining HCI and critical computing around deceptive design, supervised by Dr Katie Seaborn in the Aspirational Computing Lab. Relevant to critical design, ethics and the evaluation of technology’s effects on people.
Articles
Renegotiating autonomy and safety: disentangling tensions emerging for older adults living with smart monitoring systems
Participants described avoiding devices, changing routines to prevent alerts, or acting to reassure caregivers. Monitoring intended to support independence could also constrain everyday choices.
Ethics & AI cases
Becoming an ethical researcher
Scenarios explore decisions before, during and after research: sensitive topics, insider relationships, power, participants’ voices, sponsors and dissemination. Designed to complement postgraduate study.
Ethics & AI cases
Consent, power and ongoing participation
Informed participation involves understandable information, a genuine choice and continuing attention to consent. ESRC discusses coercion, incentives, withdrawal, confidentiality and alternatives to signed forms.
Ethics & AI cases
Data protection impact assessments
A DPIA examines risks to people arising from processing personal data. It is required where processing is likely to result in high risk, and can inform design decisions before a system or study starts.
Ethics & AI cases
Publicly visible does not settle whether research is ethical
Examines privacy expectations, consent, covert observation, identity and cross-border responsibilities in online communities. Visibility alone does not resolve the ethical questions around collecting or publishing people’s contributions.
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