AIEthics
AI ethics is the interdisciplinary field concerned with identifying and addressing the moral and societal implications of designing, deploying, and using AI systems — including issues of fairness and bias, privacy, transparency, accountability, labor impact, and the broader social consequences of automating decisions…
7 resources across 2 libraries
Glossary Terms(4)
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a training technique used to align language models with human preferences by having people rank or rate mo…
AI Ethics
AI ethics is the interdisciplinary field concerned with identifying and addressing the moral and societal implications of designing, deploying, and using AI sy…
AI Safety
AI safety is the field focused on ensuring AI systems behave reliably, predictably, and in accordance with human intentions, avoiding unintended harmful behavi…
Chinese Room Argument
The Chinese Room Argument is a philosophical thought experiment devised by John Searle in 1980 that argues a computer program manipulating symbols according to…
Blog Articles(3)
AI Ethics: Bias, Fairness and Responsibility
As AI makes more decisions affecting people, fairness, transparency, and accountability become essential.
AI Safety and Ethics: What Every Developer Should Know
Every developer building AI-powered products is now making ethical decisions, whether they realise it or not. This guide covers the key concepts — bias, fairne…
AI in Healthcare: Opportunities and Risks in 2026
AI is being used in radiology, drug discovery, clinical documentation, and patient triage — and it's raising serious questions about bias, accountability, and…