Administrative Information
Title | Human Intervention on inconsistent and/or good AI decisions |
Duration | 45-60 minutes |
Module | C |
Lesson Type | Interactive Session |
Focus | Practical - Socially Responsible AI |
Topic | Corporate Social Responsibility (ISO 26000) - when using HCAI systems |
Keywords
Human intervention, AI decisions, language translation,
Learning Goals
- Evaluating criteria for determining the optimality of AI decisions.
- Analyzing ethics of human interventions in inappropriate AI-based decisions.
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
None.
Optional for Students
- Koehn, P., & Knowles, R. (2017). Six Challenges for Neural Machine Translation. In Proceedings of the First Workshop on Neural Machine Translation (pp. 28-39). Association for Computational Linguistics.
- Turchi, M., Negri, M., & Federico, M. (2018). Neural versus Phrase-Based Machine Translation Quality: A Case Study. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26(10), 1806-1816.
- Students together may think about other positive examples of Human intervention in AI decisions
References and background for students
Recommended for Teachers
None.
Lesson materials
Instructions for Teachers
- Instigate the students to engage in discussions.
- Lead and guide the discussion within the scope of the discussion points.
- Encourage students to focus on the evidence and interrupt if they are speaking over others.
Outline
Duration (min) | Description | Concepts | Activity |
---|---|---|---|
5 | Discussion Topic - Human Intervention on AI decisions | ||
10 | Session goals - Challenges - pros and cons | Student driven Discussion | |
20 | Guided Discussion - Amazon Case, Google Translate | Student driven Discussion | |
10 | Discussion of results and some additional points of discussion | Result discussion | |
5 | Conclusion and some open-ended questions | Food for thought |
Acknowledgements
The Human-Centered AI Masters programme was Co-Financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.