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3 December 14:00 - 16:30Lindholmen Science Park

General Insights - AI, transparency & the legal implications

The evolving legal and regulatory landscape, and the socio-legal dilemma of AI transparency   

The EU recently released ethical guidelines for AI, and is currently elaborating on recommendations for future related policies with regards to legal issues related to AI.  Certain states in the US are also moving ahead with regulation designed to protect privacy. The regulatory landscape is continuing to evolve, and organizations need to follow developments carefully in order to be prepared.   

Transparency is often seen as a fundamental cornerstone of understanding data-driven technologies and a vital component of achieving accountability. The absence of transparency in connection with algorithm-driven processes, sometimes referred to as “black-boxing”, is a well-known problem, and the lack of transparency is often described in terms of a trust deficiency. On the other hand, too much transparency could also be a problem in certain cases.  It can be a fine line in finding the right balance of transparency to satisfy stakeholders but not revealing too detailed or confidential information.

As AI becomes more important in applications such as healthcare and transportation, the reliability, openness, and fairness of these systems are increasingly important. As a company, trust is the new currency. In conjunction with society’s increasing use of, and dependence on, AI and data-driven technology, there is a growing need to understand potentially negative consequences and risks. The most advanced forms of AI, such as deep learning, may be the most valuable from an economic and societal perspective, but is also the most difficult for humans to understand. As AI and data-driven technologies become more advanced, it will result in trade-offs between transparency and accuracy.

Legal and ethical frameworks, standards, certifications or procedural stances will be necessary in order for companies to ensure AI is developed and implemented in an ethical way, as well as to maintain trust in both the technology and the organizations utilizing it. The seminar aims to shed a light on recent developments.

Please RSVP by 25/11/2019.


14.00 – Doors open, mingle
14.15 - Welcome and introduction
14.20 - Introduction to General Insights and AI Sustainability Center and CHAIR partnership
14.30 -  Introduction of today’s theme, ‘Transparency and evolving legal frameworks’ 

14.35 - Introduction to a new research report on the socio-legal dilemmas of AI and transparency 
Speaker: Stefan Larsson, Associate Professor LTH / affiliated researcher at AI Sustainability Center 
14.55 - Q&A 

15.05 - Panel introduction by moderator
15.10 - Panel: Transparency and the evolving legal and regulatory landscape
David Frydlinger – Managing Partner, Cirio law firm
Olle Häggström – Professor, Mathematical Sciences, Chalmers
Agnes Hammarstrand - Lawyer/Partner, Delphi
Moderated by: Elaine Weidman Grunewald, co-founder, AI Sustainability Center
15.30 - Q&A / Discussion

15.45 - Coffee and Networking
16.30 - Event end 

Changes to the agenda may occur. 

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Stefan Larsson
Associate Professor LTH, affiliated researcher at AI Sustainability Center

Stefan Larsson is a lawyer and Associate Professor in technology and social change at LTH, Lund University, and head of the Digital Society Program at Swedish think tank Fores. He has a PhD in Sociology of Law and a PhD in Spatial Planning. His research focuses on issues of trust and transparency on digital, data-driven markets, and the socio-legal impact of autonomous and AI-driven technologies.

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David Frydlinger
Managing Partner, Cirio law firm

David is Cirio’s Managing Partner and also heads our Digital Synergy area group. Among other things, he has extensive experience of drafting and negotiating IT agreements, including outsourcing, cloud computing, software development and similar contracts. He is also an expert in data privacy and information security.

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Agnes Hammarstrand
Lawyer, Partner - IT/Technology

Agnes Hammarstrand heads the Tech & IP team of Delphi Law Firm west. She has been elected lawyer of the year both 2018 and 2019 – elected by the Swedish lawyers to be the person they would choose to engage. Agnes is an expert in IT/technology law, negotiating IT-contracts and giving advice within the technology and privacy areas. She also has a special interest in legal implications relating to AI.

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Elaine Weidman Grunewald
Co-founder, AI Sustainability Center

Elaine is co-founder to the AI Sustainability Center. She is an expert in the technology sector and effects of digitalization, as well as the global sustainability and development arena, where she has had leading positions and roles, including Chief Sustainability & Public Affairs Officer at Ericsson. Today she is also a Board member of SWECO AB and the Whitaker Peace and Development Initiative.

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Olle Häggström
Professor, Mathematical Sciences

Olle Häggström is a professor of mathematical statistics at Chalmers University of Technology, a researcher at the Institute for Future Studies, and a member of the Royal Swedish Academy of Sciences. The bulk of his research qualifications are in probability theory, but in recent years he has broadened his interests substantially in the directions of futurology, existential risk, AI ethics and related topics. He is the author of four books, most recently Here Be Dragons: Science, Technology and the Future of Humanity (Oxford University Press, 2016). 

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Anna Felländer
Co-founder, AI Sustainability Center

Anna is co-founder to the AI Sustainability Center. She is one of Sweden’s leading experts on the effect of digitalization on organizations, society, and the economy, with advisory roles in academia, government, the digital start-up scene, and large organizations focusing on Artificial Intelligence and Ethics – including the Minister of Digitalization.

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Organized by

AI Sustainability Center @AIsustcenter

A solution provider for AI ethics, offering a methodology and framework for purpose-driven technology.

Chalmers AI Research Centre @ChalmersAI

Chalmers AI Research Centre, CHAIR - Increasing expertise and excellence in AI to benefit society.

AI Innovation of Sweden @AISweden

Accelerating applied AI research and innovation - through collaboration and cross-industry sharing