The BIT-ACT research fellow presents her research on the unfairness of AI anti-corruption tools and also talks to law students at the DIGILAW clinic.
Published on 07 March 2024
Fernanda Odilla, a research fellow with the BIT-ACT project, has been invited to present her most recent research on the topic of AI fairness in anti-corruption at Sciences Po Paris. The presentation, titled "Unfairness in AI Anti-Corruption Tools: Main Drivers and Consequences," will delve into the complexities of predictive AI-based anti-corruption tools (AI-ACTs) and their potential biases.
Scheduled for April 3rd at 12:30, the event aims to explore the multifaceted concept of fairness within AI tools, identifying risks at various levels and proposing strategies for mitigation. Odilla's work promises to shed light on crucial aspects of AI deployment in combating corruption, emphasising the importance of ethical considerations.
In addition to her presentation, Odilla will engage with law students at the DIGILAW clinic on April 4th to reflect on the intersection of regulatory frameworks and emerging technologies in the fight against corruption.
This dual engagement underscores the interdisciplinary nature of her research and its relevance to both academic and practical domains.
Register to attend the talk here.