Interactive session: Decision making based on AI monitoring

Interactive session: Decision making based on AI monitoring

Administrative information

Title

 Decision making based on AI monitoring
Duration 55 min
Module C
Lesson Type Interactive Session
Focus Practical - Socially Responsible AI
Topic Corporate Social Responsibility (ISO 26000) - when using HCAI systems

 

Keywords

AI monitoring, AI Decision-making, Human Intervention,

 

Learning Goals

  • Understand the role of AI monitoring in the Boeing 737 Max MCAS system.
  • Analyze the decision-making process based on AI monitoring data.
  • Evaluate the impact of the decision to rely heavily on AI monitoring.
  • Discuss the lessons learned and potential improvements for decision-making in similar scenarios.

 

Expected Preparation

Obligatory for Students

  • Review the lecture and interactive session on Fair Operating Practices

Optional for Students

None.

References and background for students

 

 

Lesson materials


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

 

Instructions for Teachers

The class can be divided into groups of 3-4 for this case study. In small groups, students will assume the roles of stakeholders involved in the Boeing Max 747 incident, such as Boeing engineers, regulatory authorities, pilots, and passengers. They will engage in a role-playing exercise to simulate a decision-making scenario, considering the available information, ethical considerations, and potential consequences of their actions.

 

Outline

min Description Concepts Activity
5 Introduction, Background AI based Decision Making Introduction
10 Approach, Objectives, Discussion points Case study - Scenario, Decision Making process Analysis of AI monitoring, and Decision making process
30 Impact, Lesson Learned. Benefits and challenges
10 - 15 Discussion of results, Conclusion and Open-ended questions Rsults and Recommendations Summary of the Discussion

 

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