The Brussels Privacy Hub (BPH) is hosting a Doctoral Seminar series, providing a platform for PhD candidates working on privacy and data protection topics at the Law, Science, Technology and Society (LSTS) to present and discuss their work in progress.
These seminars aim to create an environment where PhD students can enhance their skills in presenting and debating their scientific research, regardless of their current research stage. Additionally, they will have the opportunity to receive valuable feedback and engage in discussions with their peers and experts in the fields of privacy and data protection.
Each seminar includes a short presentation by the PhD candidate, followed by an interactive discussion with the audience. Seminars are also open to external participants. Find more information here.
On 18 January 2024, 12:30h - 13:30h CET, Mitisha Gaur (doctoral researcher at Scuola Superiore Sant’Anna for the MSCA-ITN LeADS Project) will present her research on ‘Regulation the AI landscape for Adjudicatory Environments’.
Abstract: The reliance on AI-systems by the judiciary and the government bodies is a train which every jurisdiction across the world has bought a ticket to. This race to automate often precludes the safety of the impact population including vulnerable groups who end up bearing the brunt of algorithm-led exploitation. This research is carried out against the backdrop of the understanding that Predictive justice applications are not envisaged as substitutions for natural persons carrying out deliberative functions on behalf of courts and administrative bodies, however in cases where they’re deployed as intelligence augmentation tools, they must work within known legal parameters which uphold core legal tenets such as principles of natural justice, right against discrimination, right to good administration etc. Predictive justice systems must be modelled while keeping in mind not only developer centric responsibilities of explainability, identification of bias, adherence to procedural laws but also ensuring deployer centric obligations such as provisions for empowering the impact population to not only interact directly with the Predictive Justice AI System but uphold human-transparency as opposed to mathematical transparency . In this context, this thesis investigates the various attempts of adopting predictive justice systems across various jurisdictions, all while asking the seminal question- is automation a need or simply the norm?
This event will be in a hybrid format (both on-campus and online). Interested participants wishing to take part can register by sending an email to Pablo.Rodrigo.Trigo.Kramcsak@vub.be.