ShopXpress and TalentScan : When the algorithm reproduces the biases of the past

This fictional case is inspired by a real-life situation involving a major e-commerce player in 2018, in which an automated recruitment tool had reproduced and amplified gender biases present in historical data. It has been adapted and expanded for educational purposes to explore the legal issues surrounding algorithmic bias in recruitment in light of the European Regulation on Artificial Intelligence (AI Regulation).
All characters and companies are fictional.
Additionally, the case was written in 2026 but the events are intentionally set in 2027 to avoid confusion among students regarding the temporal application of the AI Act.

The purpose of this case study is to verify that the student understands the scope of the European Artificial Intelligence Regulation and can identify high-risk AI systems, particularly in the field of automated recruitment.
The student must be able to distinguish between the respective obligations of the provider and the deployer of a high-risk AI system (AI Act, Articles 16 and 26), and apply them to a specific situation involving a contractual relationship between two companies.
The case study assesses whether the student can analyse breaches of obligations regarding transparency (AI Act, Art. 13), technical documentation (AI Act, Art. 11), risk assessment (AI Act, Art. 9), and human oversight (AI Act, Art. 14) in a practical scenario.
It also ensures that the student can assess the legal implications of prior knowledge of the risk on the liability of the parties involved, based on documentary evidence.
Finally, the case study aims to assess whether the student is capable of developing a prioritized and legally sound compliance plan, aligning the requirements of the AI Act with the company's operational constraints.

Artificial intelligence - Data - Digital law - AI Act - Algorithmic bias - Recruitment - Compliance - E-commerce

The case study is intended for first- and second-year master's students who have taken a course in technology law, more generally in business law, or a course in compliance or risk management.s).
The case study can also be completed by students in generalist programs at the bachelor's or master's level taking an introductory course in digital law or data governance.
The case study can also be presented to professionals in continuing education (in-house counsel, compliance officers, data protection officers).

Vente à distance sur catalogue spécialisé

Duration: 3 hours. Role-playing. Examination case

Année de la problématique : 2027

Livraison : Livraison par lien de téléchargement

Nombre de pages : 12