Strengthening trust in computing technologies for detecting illegal deception online

  • Panel
  • Class Room
  • Wednesday 21.05 — 16:00 - 17:15

Organising Institution

Interdisciplinary Center for Security Reliability and Trust (SnT) of the University of Luxembourg

Luxembourg

  • Academic 3
  • Business 1
  • Policy 2
Automation is helping various actors of the data economy to streamline the large-scale detection of illegal deceptive practices online, gather evidence of wrongdoing, enforce actions, or propose remedies. This nascent field of research and practice raises questions concerning the quality of data used to train the tools, the reliability of their outputs, their usability, sustainability, and scalability, as well as other prerequisites that would instill trust in the use of such computing technologies.

Questions to be answered

  1. How might the inputs (e.g. datasets) and the outputs (e.g. recommendations) of the detection tools be reliable, verifiable and replicable?
  2. How can the poor maintenance and monitoring of the tools increase privacy and other risks, and how might these be mitigated?
  3. Which requirements would contribute to their adoption?
  4. In which processes can they bring added value and where they cannot?

Moderator

Claudia Negri Ribalta

University of Luxembourg - Luxembourg

Claudia is an interdisciplinary researcher studying the intersection of data protection and privacy, computer science, requirements engineering, security, and regulatory bodies. She is a Marie Skłodowska-Curie Actions (MSCA) COFUND fellow at the IRiSC group at the SnT and also affiliated to the IAS , both at the University of Luxembourg. Additionally, she serves as the president of the Latin American NGO OptIA, which promotes transparent and inclusive algorithms from a socio-technical perspective.

Speaker

Arianna Rossi

Sant'Anna School of Advanced Studies - Italy

Arianna Rossi is a research affiliate of the LIDER Lab at Sant’Anna School of Advanced Studies (Pisa, Italy) and is an expert in online manipulation, usable privacy, and legal design. She carries out empirical and theoretical research with a clear interdisciplinary slant, at the intersection of data law, human-centered design and computer science.

Speaker

Vincent Toubiana

CNIL - France

Vincent is the Head of CNIL’s Digital Innovation Lab, called the LINC. The Digital Innovation Lab is a unit composed of designers, computer scientist, foresight analysts and a sociologist. The LINC is an interface between the CNIL and the academic community. Vincent obtained a PhD in “Computer Networks” form Telecom ParisTech in 2008, did a PostDoc at NYU under the supervision of Helen Nissenbaum. He joined CNIL in 2013 as an engineer in the technology expertise unit. In 2016, he completed a 3-month internship at the FTC.

Speaker

Stefan Schauer

noyb - Austria

Stefan grew up in rural Austria before moving to Vienna, where he studied computer science and gained experience working in various IT developer positions in both the private and public sectors. Since 2022, he has been working as an IT all-rounder at noyb, contributing his expertise to the organization.

Speaker

Trushant Mehta

Fair Patterns - France

Trushant Mehta is the Chief Technology Officer at Fair Patterns and OpenEyes Technologies, with over 25 years of leadership in AI-driven innovation, ethical design, and education technology. A Forbes Technology Council member and advisors to a few international organizations and universities, he has pioneered platforms addressing dark patterns and accessibility. Trushant promotes women’s empowerment, community learning, and inclusive tech through global initiatives and non-profits like Aspire2STEAM and TorchIt. He holds a patent for an AI-based Auto Item Generator and was honored with a Lifetime Achievement Award by the Office of U.S. President Joe Biden in 2022.