Practice Objective
This is an English translation of the published reading. Choose an AI application you use frequently and combine it with Principle of proportionality, privacy and data protection, fairness and non-discrimination, transparency and explainability , check the benefits and risks it brings.
Reflection task
Reflect on the following four aspects.
- Principle of Proportionality : What problems does it solve? What benefits does it provide, and is the value worth the required resources and potential harms? Are there simpler alternatives?
- Privacy and Data Practices : What information did you input? How does it process this information? Do you understand the purpose, retention, and access methods of the data?
- Fairness and biaslessness Who finds it easy to use might also be at risk of being excluded? Are there differences in results across different groups that warrant further scrutiny?
- Transparency and explainability Can you know when you're interacting with an AI, and on what basis do the outputs are generated? If an error occurs, can you raise an objection and have it addressed?
Final answer: How can this technology increase revenue while reducing risk?
Original practice recommendation: complete with 150 to 200 English words. Chinese expression may use a corresponding length; the focus is on clearly explaining the selected application, specific observations, and reasons for improvement, without needing to strictly match word count.
This is an open-ended reflection with no single correct answer. Analyze the features you actually use; there is no need to share account information, private conversations, or other people's personal data. The page does not collect individual replies from the original discussion.
Related Reading
If you still don't understand the differences between the four principles, go back to Four Principles of AI Ethics Review the case study, then select a real-world application for reflection.
Reference and Extended Reading
The following is an editorial addition.
- OECD Artificial Intelligence Principles : English, can be used to check whether considerations of human rights, fairness, transparency, robustness, and accountability have been adequately addressed.
- NIST AI Risk Management Framework : English, helps transform broad concerns into specific risks, affected parties, and actionable management measures.