Administrative Information
| 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 |
Keywords
AI Ethics,AI decision making,Bias,CSR,AI Recruitment,
Learning Goals
- Discuss the benefits of HCAI systems in recruitment and promotion
- Understand the challenges faced by HCAI systems
- Argue the rationale behind existing solutions and suggest alternatives.
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
- Review the materials of the expected Learning Events
Optional for Students
- Browse through a previous discussion topic
- Interesting to read: Automated Hiring
References and background for students
Recommended for Teachers
None.
Lesson materials
Instructions for Teachers
- Instigate the students to engage in discussions.
- Lead and guide the discussion within the scope of the discussion points.
- Encourage students to focus on the evidence and interrupt if they are speaking over others.
- Keep a note of all the discussion points and share the trail of discussion at the end of class.
- Provide conclusive remarks of the discussion with possible open questions and challenges.
Outline/time schedule
| 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 |
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.