Speaking Worksheet
AI Ethics and Responsibility
Speaking Practice
1
Discussion
Discuss the questions. Ask follow-up questions and push for examples, evidence, and qualification.
- Who should be held responsible when an AI system causes harm: the developer, the user, the company, or the regulator?
- Can an algorithm be considered fair if the society that trained it is unequal?
- Which decisions should never be delegated to AI, even if the technology becomes highly accurate?
- How transparent should companies be about the data used to train their systems?
- Does AI create more opportunities for ordinary people or more power for large organisations?
2
Collaborative task
Your group advises a government committee. Agree on three principles for responsible AI use in schools, healthcare, and public services.
- human oversight
- right to appeal
- data privacy
- bias testing
I would argue that...A more nuanced view is...The main trade-off is...That depends on whether...I see your point, but...The long-term consequence might be...
3
Report and challenge
Report your principles to another group. Challenge one principle by asking: What could go wrong if this rule is too strict or too weak?