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

Amazon scraps AI recruiting tool

Recommended for Teachers

None.

Lesson materials

Slides

The materials of this learning event are available under CC BY-NC-SA 4.0.

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	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

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

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.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities