Title |
AI based decision making - Recruitment and Promotion | ![]() |
Duration | 50 min | |
Module | C | |
Lesson Type | Interactive Session | |
Focus | Practical - Socially Responsible AI | |
Topic | Corporate Social Responsibility (ISO 26000) - when using HCAI systems |
AI Ethics,AI decision making,Bias,CSR,AI Recruitment,
None.
The materials of this learning event are available under CC BY-NC-SA 4.0.
Duration (min) | Description | Concepts | Activity | Material |
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5 | Review of AI-based decision making - Problem Definition, Points of Discussion | HCAI recruitment and promotion | Introduction | Interactive Session - PowerPoint Material |
10 | Discussion of benefits and challenges of AI recruitment and promotion | AI Tech limitations;
Bias - Algorithm and Data, |
Collation of challenges and corresponding discussion inputs | |
25 | Guided Discussion - Actions taken and creative solutions to the challenges and any possible alternatives |
Addressing the Challenges |
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10-15 | Discussion of results, Conclusion and Open-ended questions | Summary of Discussion | Review of the Discussion | Indicative conclusive remarks - PowerPoint Material |
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 |