|
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 |
|---|---|---|---|---|
| 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 |
||
| 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
![]() |
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
|
|