The Erasmus University of Rotterdam recently organized a highly engaging panel at the 10th Biennial Surveillance Studies Network / Surveillance & Society Conference, SSN2024, held from May 28-31, 2024, in Ljubljana, Slovenia.
The panel showcased the innovative solutions developed by the SPATIAL project and facilitated an in-depth discussion on how AI practitioners can and should use ethical criteria to ensure transparency and traceability in developing trustworthy AI systems, aligning with ethical and privacy-respecting principles.
Titled “Navigating the Intersection of Privacy and Security in the AI Lifecycle: Possibilities, Challenges, and Quantum Solutions,” the session brought together experts and researchers to explore the complex dynamics between privacy, security, and the ethical deployment of AI technologies. Moderated by João Fernando Ferreira Gonçalves, the panel delved into various facets of AI development, emphasizing the importance of ethical guidelines and privacy considerations.
Marcus Westberg opened the session with a presentation on integrating accountability and resilience features into AI algorithms. Following this, Tessa Oomen delivered a thought-provoking discussion on developing trustworthy AI in the realm of cybersecurity. She reexamined the balance between privacy and surveillance, advocating for a sociotechnical approach that considers both technical and societal implications.
Selma Toktas then addressed the critical role of sociotechnical auditing in AI-powered surveillance systems. She detailed the pitfalls that such systems can encounter and proposed auditing methodologies to identify and mitigate these risks.
The session concluded with Sarah Young’s forward-looking presentation on empowering AI with quantum technologies to mitigate surveillance challenges. She explored how quantum computing can enhance the capabilities of AI systems, offering new possibilities for secure and privacy-preserving solutions.
The panel at SSN2024 provided a comprehensive overview of the SPATIAL project’s contributions to creating trustworthy AI systems. Through discussions on accountability, resilience, sociotechnical perspectives, and the potential of quantum solutions, the panelists highlighted the multifaceted approach needed to navigate the intersection of privacy and security in the AI lifecycle. This session underscored the ongoing commitment to developing AI technologies that are transparent, traceable, and aligned with ethical and privacy-respecting principles.
