What is ai ethics?
Quick answer
AI ethics is the study of how automated systems should be built and used: who benefits, who is affected, what is disclosed, and who is accountable when the system is wrong.
Every senior capstone includes an impact statement naming intended users, likely failure modes and the people affected by them.
In context
Abstract ethics lessons rarely stick. Ethics attached to a system the student built themselves does, because the trade-offs are theirs.
The practical questions are consistent: what data was used, who consented, what happens on a wrong answer, and who can appeal it.
In a NASCA classroom
Every senior capstone includes an impact statement naming intended users, likely failure modes and the people affected by them.
Related terms
Model bias
Model bias is a systematic error that makes an AI system perform worse for some groups than others, usually because the training data under-represented them.
Student data privacy
Student data privacy covers how a school and its partners collect, store, share and delete information about children, under frameworks such as India's DPDP Act, the GDPR and FERPA.
AI literacy
AI literacy is the ability to recognise where AI is being used, understand roughly how it works, judge its output, and decide when using it is appropriate.