Gianluca Misuraca

Research Fellow, Danube University, Krems

Gianluca Misuraca is a former Senior Scientist at the European Commission's Joint Research Centre in Seville, where, from January 2009 until August 2020, coordinated research in the area of Digital Governance and Social Innovation, leading policy support in the field of Digital Government Transformation, and acting as AI Watch Task Leader on Artificial Intelligence for the Public Sector. Gianluca is currently a strategic policy advisor on Digital Governance, Technology Diplomacy and Human-Centric Artificial Intelligence, and he is acting as Team Leader for the EU-funded facility support project for an “International alliance for a human-centric approach to Artificial Intelligence” (IA-AI). Gianluca is also an Associate Research Fellow at the Department of eGovernance and Public Administration of the Danube University in Krems (DUK), Austria, a Special Advisor to the Task Force on Democracy in the Digital Age of Re-Imagine Europa (RIE) and a Member of the Scientific Committee of the TRIGGER H2020 Research Project – TRends In Global Governance and Europe’s Role.

Gianluca is speaking at

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



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.
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?

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