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High Level Policy Dialogue - Artificial Intelligence Governance in the aftermath of GDPR

Dates:
  • Tue 26 Jun 2018 09.00 - 18.00
  Add to Calendar 2018-06-26 9:00 2018-06-26 18:00 Europe/Paris High Level Policy Dialogue - Artificial Intelligence Governance in the aftermath of GDPR

The recent success of artificial intelligence, from pattern recognition to behaviour prediction, has benefited from merging machine learning algorithms with enormous amounts of data. As of now, there is no AI without data. Therefore, the governance of artificial intelligence cannot be separated from data governance. Questions of who can use what data, for what purposes, in what way and under what conditions, are as vital as the questions about the standards, transparency and design requirements for algorithms. With the General Data Protection Regulation 2016/679 of the EU (GDPR) entering into force May 25th 2018, the questions of lawful data usage have been authoritatively answered.

The policy dialogue, organised by the School of Transnational Governance and the Department of Law, in collaboration with the Berkman Klein Center for Internet and Society at Harvard University, will bring together policymakers, industry representatives and academics, to advance the discussion about AI governance. This event - while following in the steps of other global efforts that have produced either sectorally or geographically constrained recommendations - attempts to focus on the context of the EU in the aftermath of GDPR. The underlying premise of the event is that GDPR is primarily a data processing regulation, rather than a privacy regulation. Despite not explicitly addressing the questions of algorithms, the EU has indirectly created a governance scheme for machine learning systems. The objective of the dialogue is to brainstorm whether and how GDPR could and should be used as a foundation for other AI policy tools.

The overarching question we want to address is: should AI governance and data governance be treated as separate issues? Is it even possible to address them separately? And, to put it more concretely, is GDPR an appropriate tool for AI governance? Does its adoption process and ultimate form offer any guidance, positive or negative, regarding governance of AI?

Together with a diverse group of stakeholders we are attempting at a vibrant discussion that will result in the creation of actionable recommendations on how to enrich, adjust and adapt EU AI policies in the aftermath of GDPR. In particular, the output of the dialogue will be an assessment of GDPR’s strengths and weaknesses in addressing questions of AI governance, and recommendations on how to best coordinate the efforts of different regulators within the data/algorithm sphere.

The event is by invitation only and takes place under Chatham House rules.

Sala del Capitolo, Badia Fiesolana DD/MM/YYYY
  Sala del Capitolo, Badia Fiesolana

The recent success of artificial intelligence, from pattern recognition to behaviour prediction, has benefited from merging machine learning algorithms with enormous amounts of data. As of now, there is no AI without data. Therefore, the governance of artificial intelligence cannot be separated from data governance. Questions of who can use what data, for what purposes, in what way and under what conditions, are as vital as the questions about the standards, transparency and design requirements for algorithms. With the General Data Protection Regulation 2016/679 of the EU (GDPR) entering into force May 25th 2018, the questions of lawful data usage have been authoritatively answered.

The policy dialogue, organised by the School of Transnational Governance and the Department of Law, in collaboration with the Berkman Klein Center for Internet and Society at Harvard University, will bring together policymakers, industry representatives and academics, to advance the discussion about AI governance. This event - while following in the steps of other global efforts that have produced either sectorally or geographically constrained recommendations - attempts to focus on the context of the EU in the aftermath of GDPR. The underlying premise of the event is that GDPR is primarily a data processing regulation, rather than a privacy regulation. Despite not explicitly addressing the questions of algorithms, the EU has indirectly created a governance scheme for machine learning systems. The objective of the dialogue is to brainstorm whether and how GDPR could and should be used as a foundation for other AI policy tools.

The overarching question we want to address is: should AI governance and data governance be treated as separate issues? Is it even possible to address them separately? And, to put it more concretely, is GDPR an appropriate tool for AI governance? Does its adoption process and ultimate form offer any guidance, positive or negative, regarding governance of AI?

Together with a diverse group of stakeholders we are attempting at a vibrant discussion that will result in the creation of actionable recommendations on how to enrich, adjust and adapt EU AI policies in the aftermath of GDPR. In particular, the output of the dialogue will be an assessment of GDPR’s strengths and weaknesses in addressing questions of AI governance, and recommendations on how to best coordinate the efforts of different regulators within the data/algorithm sphere.

The event is by invitation only and takes place under Chatham House rules.


Location:
Sala del Capitolo, Badia Fiesolana

Affiliation:
School of Transnational Governance
Department of Law

Type:
Special event

Contact:
Fiona Wong (EUI) - Send a mail

Attachment:
Programme

Links:
High Level Policy Dialogues, School of Transnational Governance
 
 

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Page last updated on 18 August 2017