AI Ethics Overview AI Ethics
Learning Outcomes
1
Understand the ethical importance of data integrity, provenance and consent in AI-driven research
2
Recognise how bias in datasets can lead to inequity and misrepresentation in scientific outcomes
3
Evaluate the balance between AI automation and human responsibility in research contexts
4
Appreciate the need for transparency, inclusivity and critical engagement with AI tools in science