Title
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Education impact - Auto AI decision making | |
| Duration | 50 min | |
| Module | C | |
| Lesson Type | Interactive Session | |
| Focus | Practical - Socially Responsible AI | |
| Topic | AI for All |
AI in Education, ChatGPT, AI decision making,
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The materials of this learning event are available under CC BY-NC-SA 4.0.
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.
| min | Description | Concepts | Activity |
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| 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 |
Click here for an overview of all lesson plans of the master human centred AI
Please visit the home page of the consortium HCAIM
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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
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The HCAIM consortium consists of three excellence centres, three SMEs and four Universities
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