The Use of Personal Data in AI Research

Ellen Wauters, CiTiP, imec
& Brahim Bénichou, KU Leuven Centre for IT & IP Law
& Knowledge Centre Data & Society
17 December 2021, online
Seminariereeks ‘Sense & Sensibility of AI

Let’s get working with privacy, GDPR en the policies of your organization.

When is data ‘personal’? When do you perform a DPIA? Why do some organizations have a Data Protection Officer and when should you contact him/her? Ellen Wauters (CiTiP, imec) and Brahim Bénichou (Knowledge Centre Data & Society & KU Leuven) explain the basic principles of GDPR and unlock them with some handy tips and tricks. They will also briefly discuss the Ethical Guidelines for Trustworthy AI and the seven key requirements. The development, deployment and use of AI systems should meet these requirements in order to be considered Trustworthy AI, privacy and data governance being one of them. In preparation of the seminar, you can consult the privacy guidelines/policies applicable in your organization.

Ellen Wauters

Ellen Wauters is researcher at the Center for IT & IP Law (CiTiP) of the KU Leuven. This department is part of the Faculty of Law and has more than 80 researchers who work on the legislative and ethical aspects of IT innovation and intellectual property.

Ellen Wauters holds a master’s degree in Political Science (2001) and Law (2010). She has experience in media law, intellectual property and consumer law. Before joining CiTiP, she worked as a legal expert GDPR for the social secretariat for notaries, where she was responsible for GDPR compliance in the notary profession. At CiTiP she will be part of the Centre for Data and Society and also work on the project Spectre, which focuses on smart cities.

Brahim Bénichou

Brahim Bénichou is legal researcher at the Centre voor IT & IP Law (CiTiP) at KU Leuven. He focuses on:

He is also active as:

  • counsel in the IP/IT team of the international law firm NautaDutilh.
  • founder of the legal tech start-up My Privacy Specialist, a legal solution that helps SME’s to implement the GDPR in a cost-effective way and tailored to the specific needs of SME’s.

Bénichou has a particular interest in AI, privacy, the Internet of Things (IoT), the legal issues raised by technology and innovation and legal design.

He obtained his law degree at the Vrije Universiteit Brussel (2006 – cum laude). During these studies, he also studied at the Université Libre de Bruxelles as part of the Erasmus Belgica programme. He also obtained an LLM in Corporate Law at the KU Leuven (2010 – cum laude), where he is currently completing the LLM in IP and ICT law.


  • 17 December 2022, 11-12u
  • Location: online
  • Contact: Laura Alonso
  • Language: English
  • Target Group: researchers with insight into the technical aspects of AI & machine learnin


  • Registration before 15 December
  • Registration before 20 January
  • Prerequisites: master’s degree
  • Price: free
  • Please check your spam folder if you haven’t received a link two days before the start of the seminar.

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Sense & Sensibility of AI

Seminar series on AI Ethics:
Fairness, Privacy, Trustworthiness

AI has an increasing influence on our daily lives, examples include automated decision-making for high-stake decisions such as mortgages and loans, automated risk assessments for bail or recommenders on the internet. These AI systems carry the risk of creating filter bubbles and polarization. While AI is being rolled out into society, the discussion on how AI-based systems may align with and even affect our values, is pushed to the forefront. We gave the computer senses, but how can we give it sensibility? It requires a multi-disciplinary view, where both technical and non-technical perspectives have a prominent place.

In our lecture series ‘Sense & Sensibility of AI,’ we aim for Ph.D. Students to learn about the different aspects of Ethics in AI, not only to become aware of them but also to learn about the impact of AI on society and about methodologies to identify, assess, and possibly address ethical issues. The monthly seminars tackle subjects such as bias and fairness, privacy, trustworthiness, balancing technical, social, and regulatory perspectives.

The series is targeted towards doctoral students working in the broad field of AI and data science. To understand the lectures in full, it may be required to have a background in the technical aspects of AI/machine learning.

Sense & Sensibility of AI is a seminar series developed by Flemish AI Academy in collaboration and with the support of all our partners, all universities in Flanders, and Knowledge Center Data & Society.


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