Trust Security and Transactions

Research Domain

Intersectionality in AI: Challenges and Solutions for Multidimensional Equity

The integration of AI into various sectors (recruitment, banking, hospitals, the judicial system) raises crucial questions regarding equity and the fight against discrimination. The reality of discriminatory practices necessitates an “intersectional” approach, which takes into account the combinations of identity characteristics—such as gender or age—in individuals’ profiles, rather than their isolated effects. Addressing bias from this perspective complicates the calculation of a model’s bias level, particularly due to the resulting multidimensionality. This approach is, however, necessary to ensure the responsible use of AI.
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Trusted Execution Environments: A New Frontier in Telecoms Security

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Prometheus has brought post-quantum cryptography to humanity

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Une jeune femme inquiète se tient la tête entre les mains

Cyberbullying and unclear definitions: the research approach and introducing effective measures

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What if, one day, cash ceases to exist? Hopes and anxieties of the cashless society

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A man at his desk checks datasets on multiple screens

Unbiased AI: Are Companies Ready?

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Financial competence, a model for measuring financial literacy around the world

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