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

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

  • Evaluating criteria for determining the optimality of AI decisions.
  • Analyzing ethics of human interventions in inappropriate AI-based decisions.

 

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


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 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

 

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

HCAIM Consortium

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    Laatst gewijzigd
    2024-02-14 22:05:32
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    Acknowledgement

    https://maken.wikiwijs.nl/198386/Acknowledgement

    HCAIM Consortium. (z.d.).

    Interactive session: How AI affects human behaviour (eg mobility) - Positive and Negative

    https://maken.wikiwijs.nl/202182/Interactive_session__How_AI_affects_human_behaviour__eg_mobility____Positive_and_Negative

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