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
Learning Events to be Completed Before
Obligatory for Students
- Review the lecture and interactive session on Fair Operating Practices
Optional for Students
None.
References and background for students
Recommended for Teachers
Lesson materials
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 |
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.