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NEW CHALLENGES AHEAD: DATA, AI AND THE (NEW) SOCIETY

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?

speakers-200px__0000s_0017_Aljoscha_Burchardt

Aljoscha Burchardt
DFKI

speakers-200px__0000s_0007_Natalie_Bertels

Natalie Bertels
KU Leuven -
imec/BDVA

speakers-200px__0000s_0010_Freek_Bomhof

Freek Bomhof
TNO/BDVA

Objectives

Given the vast extent of this question, the session will focus on a selection of topics, that will be complemented and further explored in connected activities under this track.

The discussion will involve a broader vision on the topics and aim to contribute to conceptual clarity. A following deep dive into specific questions will produce concrete suggestions that will impact the ongoing debate on Ethical AI, data and AI governance from the societal viewpoint.

The session will first explore the need and requirements for an empowered and upskilled society, creating a level playing field for all stakeholders to participate in the digital society.

How will we design transparency (in the data ecosystem, in the AI technology, in the application) in order to enable informed participation, safeguarding open innovation that leads to good and broadly embraced digital products while ensuring data protection, privacy and other rights and freedoms of individuals? How do we foster collaboration of all stakeholders in the design phase in order to balance (data) protection and utility of the data and the solution? How can we give society a powerful voice that embodies human-centric development and fills the demand for AI “for good” with life? Can there be one “voice of society”? How do we stimulate the uptake and implementation of trustworthy AI?

The session will further investigate novel methods, tools and approaches for Data and AI impact assessment, governance and regulation.
Is society equipped with the appropriate tools to reach and control the goal of trustworthy AI technology and applications? How can national and European authorities meaningfully support a successful path towards a European approach to AI that regional actors such as SMEs or research institutes can later implement?

Seen the speed of technical innovation vs. the speed of regulation: Can we imagine an agile, learning regulation or is “ethics by design” an option? Should anticipatory and experimental regulation be promoted? Should we further scope emerging rights such as the right to meaningful human interaction or the right not to be monitored in certain situations?