Kick-off of the TAISIG Talks

TAISIG Talks July 8th, 2021

Date: Time: 17:00 Location: Online

The TAISIG Talks feature a series of short online presentations on a broad variety of topics related to recent developments and achievements of Tilburg University in the field of Artificial Intelligence.

On July 8th, 2021, from 5:00 to 6:00 p.m., the sixth edition of TAISIG Talks will take place. 
The lectures will be moderated by Dr. Marie Postma and Prof. Dr. Emile Aarts. 

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  • Maryam Alimardani

    dr. Maryam Alimardani

    Assistant Professor (TSHD)
  • TSHD - Emiel Krahmer

    prof. Emiel Krahmer

    Professor (TSHD)
  • Irene Kamara

    dr. Irene Kamara

    Researcher (TLS)

Brain-Computer Interfaces

Maryam Alimardani, Assistant Professor at the Department of Cognitive Science and Artificial Intelligence
Brain-Computer Interfaces (BCIs) are AI-driven systems that use a human's brain activity to make predictions about their intentions, emotions, and cognitive states. Maryam’s research combines BCI systems with interactive technologies such as social robots and virtual reality (VR) environments in order to deliver a personalized experience to the user. She will demonstrate examples of past projects in which BCIs systems have been used in active or passive mode to establish a direct communication between users and interactive intelligent systems. This includes social robots that deliver mindfulness practice based on a user's brain activity, VR simulations for flight training that monitor pilot's learning, and the concept of an olfactory BCI for personalized aromatherapy for dementia patients.

Communication with computers in our own language

Emiel Krahmer, Professor at the Department of Communication and Cognition
Emiel conducts research on communicating with computers in our own language. A few years ago such a system was developed for soccer matches. A computer learned how to write a report for a new match, based on the input of a lot of previous reports. But what happens if you feed a computer billions and billions of random texts? Does it learn to produce texts on random topics? Open AI has done exactly this: created a model (GPT-3) and "trained" it on huge amounts of text. That system can indeed produce coherent, new texts. The question Emiel is particularly interested in is ‘how can we control what GPT-3 says?’ If you ask the system to write a soccer report it will do so, but it is not the report of an actual game played.

Conformity Assessment from a Legal Perspective

Irene Kamara, Researcher at Tilburg Institute for Law, Technology and Society
Irene’s research focusses on conformity assessment and standardization in the areas of data protection, cybersecurity and non-discrimination. She will introduce the concept of conformity assessment in Artificial Intelligence from a legal perspective. The presentation will focus on the Proposal for AI Regulation, published recently by the European Commission. How does the EU legislator view auditing and certification of algorithmic systems? What is the role of high-risk? Should there be space for ‘self-certification’? 

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TAISIG is the Tilburg University Artificial Intelligence Special Interest Group: a research community committed to AI. TAISIG specializes in AI methodology & algorithms, AI concepts and applications, and ELSA (Ethical, Legal and Societal Aspects of AI).

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