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Interactive session: Human Intervention on inconsistent and/or good AI decisions

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

Expected Preparation

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

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.