Administrative Information
| Title | Fair Operating Practices |
| Duration | 50 |
| Module | C |
| Lesson Type | Lecture |
| Focus | Practical - Socially Responsible AI |
| Topic | Corporate Social Responsibility (ISO 26000) - when using HCAI systems |
Keywords
AI recruitment,AI monitoring,legal frameworks,
Learning Goals
- Understand the principles of fair operating practices in AI recruitment, including the importance of transparency, accountability, and bias mitigation.
- Identify responsible AI monitoring practices, including informed consent and transparent policies.
- Recognize potential ethical concerns and legal frameworks for using AI in recruitment and monitoring.
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
None.
Optional for Students
References and background for students
Lesson materials
Instructions for Teachers
- Instigate the students to engage in discussions.
- Ask students how AI is used for AI recruitment and reveal.
- Create a brief group discussion on existing frameworks and regulations to curd AI monitoring malpractices.
- Discuss examples of LinkedIn and other social platform recruitment systems.
- Introduce the interaction session on Fair Operating practices.
Outline
| Duration (min) | Description | Concepts |
|---|---|---|
| 10 | Introduction - AI in Recruitment, AI monitoring at workplace | Ethical consideration and AI at workplace |
| 15 | Fair Operating Practices - Potential Benefits, Concern, Biases, eg: proactive head-hunting by monitoring LinkedIn, social media with AI | Lack of Transparency, Algorithmic Fairness |
| 15 | Malpractices of AI monitoring - Ethical Dilemas, Responsible Practices | Ethical Frameworks and regulations |
| 15 | Summary, Introduction of Interactive session | Conclusion and Q&A |
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.