Lecture: Fair Operating Practices - AI Recruitment and Malpractices of AI Monitoring

Lecture: Fair Operating Practices - AI Recruitment and Malpractices of AI Monitoring

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


 

Lesson materials



The materials of this learning event are available under CC BY-NC-SA 4.0.

 

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

 

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

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.

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

HCAIM Consortium

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    HCAIM Consortium. (z.d.).

    Acknowledgement

    https://maken.wikiwijs.nl/198386/Acknowledgement

    HCAIM Consortium. (z.d.).

    Lecture: Economic Gaps - Digital Divide

    https://maken.wikiwijs.nl/202177/Lecture__Economic_Gaps___Digital_Divide