Freek Bomhof

senior consultant, TNO

Freek joined TNO in 2003 and has had several positions there in various application domains, having worked on redesigning business processes for large organizations, and innovation management primarily for SMEs. He has been coordinating the TNO research on Big Data a number of years and he is now a senior Consultant and Project Manager at the Data Science department. He has set up, contributed to and coordinated a number of EU R&I projects. Currently Freek is focusing on applications of AI in safety and security, for instance in the H2020 TITANIUM project. He also leads a large internal Integration Flagship project within TNO on Trustworthy AI. His main interest is the interplay between technology, and ELSE (ethical, legal, social, economic) aspects, leading him to put emphasis on explainable AI and related issues; a topic that he also works on in his role as taskforce lead in the Big Data Value Association.

Freek is speaking at

Focus Track 2 - Technology, Platforms and Trust
November 3, 2020
3:30 pm - 5:00 pm

Speakers

  • Philipp Slusallek (Chair) Scientific Director & Professor, DFKI, Saarland University & Plattform Lernende Systeme
  • Prof. Ray Walshe (Chair) Asst Professor of Emerging Technology Standardizartion, ADAPT Research Centre at Dublin City University
  • Freek Bomhof (Chair) senior consultant, TNO
  • Katharina Morik (Speaker) Professor, TU Dortmund
  • Fredrik Heintz (Speaker) Associate Professor, ICT-48 TAILOR Network
  • Wolfgang Wahlster (Speaker) Professor of Artificial Intelligence, Founding director and CEA of DFKI, the German Research Center for AI, DFKI
  • Cecile Huet (Speaker) Deputy Head of Unit, Robotics & AI, European Commission , DG CONNECT
  • Ricardo Chavarriaga (Moderator) Research Associate - Head of the CLAIRE Office Zurich, ZHAW School of Engineering - CLAIRE Office Zurich

Description

Trustworthy AI – from national initiatives to European perspectives

AI technology connects increasing amounts of data and becomes more and more interconnected with other digital systems. To unlock its economic potential and use it to the benefit of our society however, people need to trust AI-based systems and applications. Trust in this context comprises different perspectives, like compliance to data protection rules and policies as well as ethical values and standards, or that an AI system reliably behaves correctly even in highly complex or rare situations. Accordingly, this track will present different activities and projects on the national and European level which deal with this fundamental aspect of trust in AI, and discuss some promising approaches to achieve it, ranging from standardization and certification to research topics like explainability and integrity by design.

Focus Track 4 - New challenges ahead: Data, AI and the new Society
November 4, 2020
2:00 pm - 3:30 pm

Speakers

  • Aljoscha Burchardt (Chair) Senior Researcher, DFKI
  • Natalie Bertels (Chair) Valorisation Manager - Senior legal researcher, IMEC / KU Leuven / Big Data Value Association
  • Freek Bomhof (Chair) senior consultant, TNO
  • Sabine Ammon (Speaker) Professor, TU Berlin
  • Joanna Bryson (Speaker) Professor of Ethics and Technology, Hertie School
  • Raja Chatila (Speaker) Professor emeritus, Université Sorbonne
  • Andrea Renda (Speaker) Senior Research Fellow, Head of Global Governance, Regulation, Innovation and Digital Economy, CEPS; Part-time Professor, School of Transnational Governance, EUI., CEPS and EUI

Description

The fast and far-reaching introduction of Data and AI technologies in all sectors has a big impact on our personal lives and on our society as a whole. The opportunities to bring new solutions to societal problems are paramount. We should however also consider and cater for the associated risks.

Our society is changing, how should we prepare?

Sponsored talk
November 4, 2020
3:30 pm - 4:00 pm

Speaker

Description

Lots of specific approaches exist to design and implement responsible AI systems. Integration is a challenge. The session aims to give a taste of how the different concepts could be put together.

The objective is to stimulate the debate on how ‘responsible AI’ should be put in practice. What does it mean and which topics need to be taken into account? What is the outlook?

In the session, TNO presents how their ‘integration flagship’ projects are approached from the perspective of multidisciplinary applied research. We try to bring together state of the art insights for trustworthiness and responsibility and have taken our first steps in the roadmap towards optimal human machine collaboration. We present a maturity roadmap and want to discuss how we think how co-learning (human and machine) could be shaped.

Focus Track 4 - New challenges ahead: Data, AI and the new Society
November 5, 2020
12:00 pm - 1:30 pm

Speakers

Description

Recently the EC has issued a consultation in which the need for AI regulation played an important role.  There were 1200 contributions, so 50% more than the Data Strategy consultation. Some 350 companies (the same as data sharing), 400 from citizens (!), and 150 from research institutions. So, AI is really something that keeps citizens busy! Like with data sharing, everybody agrees that the EU should ‘do more’. However, there are highlights. Skills is found very important (89%) to address, also testing facilities (76%) and European Data spaces (75%), Improving existing networks on AI found much support (86%) but a lighthouse research center much less (64%). The section on the risks of AI has been very well addressed by the respondents. This is clearly a concern with many people.
However, the way forward (introduce new regulation, adapt current legislation) is not decided, and there was even less agreement on the identification of high-risk AI applications, how to define them and what to do with them.
The debate on how to move forward with AI applications in terms of requirements, risk, and labelling/certification is clearly still open. In this session we aim to continue the debate and bring it a step further.
Objectives:
The session aims to probe further into the topic ‘AI regulation’ and provide the audience with insights and directions that help them to further shape this EU-wide debate. Specifically, since many of these topics are expected to play a role in the forthcoming Work Programs, the session will create additional links between researchers and practitioners from different backgrounds.
Further description:
The speakers / panelists will be proposed the following questions:
  1. is there a need for a regulatory system for AI systems in Europe? What are the advantages and disadvantages of regulating AI systems?
  2. which AI systems should be regulated? Which criteria should be used to define the need for regulation? 
  3. what types of regulation exist and what is considered to be effective?
  4. how can regulation of AI systems be successful? 
  5. how is the certification of AI systems related to data?
  6. what role do ethical considerations play in the regulation of AI systems?

General track
November 5, 2020
3:45 pm - 4:45 pm

Speakers

Description

This session is for all those who have built the Big Data community of the Big Data Value Association and the Big Data Value Public Privare Partnership during these years. Before entering into a new adventure, let’s share the best memories and experiences: EBDVF 2020 is the perfect moment to tell how the BDVA/PPP made a difference in our life, in research, in the big data environment, in Europe. EBDVF is opening the floor to all community members who want to share their personal experience and thoughts about the value of the work done in the BDVA and the PPP. A call for volunteer speakers will be launched very soon: stay tuned so you can have your say! 

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