- Docente: Giovanni Gaudio
- Docente: Elisa Parodi
AI tools used to manage human resources can raise serious concerns about algorithmic discrimination. This course investigates the technical mechanisms behind such risks and explores how EU anti-discrimination laws, together with other legal instruments, can address this discrimination risk.
The course is organized into 6 weeks. Each week includes several lessons, consisting of videos, written texts and assessment quizzes.
Week 1 – Algorithmic discrimination at work
Week 2 – The response of anti-discrimination law: between direct and indirect discrimination
Week 3 – The response of anti-discrimination law: proving algorithmic discrimination
Week 4 – An integrated multidisciplinary approach to preventing algorithmic discrimination: prohibitions and risk mitigation measures under the GDPR, AI Act, and Platform Work Directive
Week 5 – An integrated multidisciplinary approach to combating algorithmic discrimination: the rights of information and access under the GDPR, AI Act, and Platform Work Directive
Week 6 – Algorithmic management and equal treatment at work: an augmented risk or an opportunity?
By the end of the course, students should be able to demonstrate:
Knowledge and understanding:
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Describe and explain the mechanisms and risks of algorithmic discrimination in the workplace.
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Illustration of EU anti-discrimination laws and other relevant legal instruments, including the GDPR, AI Act, and Platform Work Directive.
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Ability to interpret key legal sources addressing algorithmic discrimination.
Ability to apply knowledge:
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Apply legal knowledge to identify, assess, and mitigate risks of algorithmic discrimination in workplace AI tools.
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Evaluate the effectiveness of EU regulatory frameworks in protecting workers’ right not to be discriminated against.
Autonomy and critical thinking:
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Independently analyze legal strategies and risk mitigation measures.
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Formulate reasoned recommendations to prevent or address algorithmic discrimination in practice.
Communication skills:
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Clearly communicate complex legal and technical issues related to algorithmic discrimination.
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Construct well-structured arguments integrating legal, technical, and policy perspectives.
The assessment of learning will take place through a final multiple-choice test, designed to verify the overall understanding of the content covered in the five educational modules. The test will be accessible exclusively to students who have completed the entire program and will provide a comprehensive overview of the topics addressed, with the aim of consolidating and evaluating the skills acquired.
The final examination will therefore combine a first part focused on assessing knowledge with a second part that requires students not only to recall information but also to demonstrate their ability to apply it in practice.
In particular, the final test will also require students to engage with case studies that were not previously discussed in the lessons, designed to assess their capacity to critically apply the knowledge they have acquired. To this end, they will be redirected to excerpts from court rulings, newspaper articles, or videos, which they are expected to carefully review in order to successfully complete the test.
The course does not require any mandatory prerequisites. However, a basic legal background is recommended, and prior knowledge of labour law would be particularly beneficial. In any case, the course is designed to be accessible, and key concepts will be thoroughly introduced and explained.
Prof. Giovanni Gaudio
Dott.ssa Elisa Parodi
Per domande o problematiche tecniche relative al corso e alla piattaforma contattare:
edvancedeh@unito.it
Contatto del docente del MOOC:
giovanni.gaudio@unito.it
elisa.parodi@unito.it