The XXXV Nordic Conference on Law & IT / Introduction

e20 Stockholm

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Law in the Era of Artificial Intelligence

The Swedish Law and Informatics Research Institute, The Swedish Association for Law and IT and The Foundation for Legal Information warmly welcomes you to the XXXV Nordic Conference in Law and IT, Law in the Era of Artificial Intelligence, 11-12 November 2020.

Participation is possible on site at Näringslivets hus in Stockholm or online.

AI has been a research topic for decades, in essence as long as computers have been in existence, but only recently has it become an area of strategic importance and a key driver of economic development. Not only has AI become a focal point in the industrial and consumer consciousness, but it has also been placed at the top of many national agendas, with countries investing billions in this technology. In particular, the EU as well as research funding organisations are allocating considerable resources to the study of AI, and many countries are actively pursuing national initiatives in this area.

The practical use of AI raises many questions and there are many predictions about its future applications: some people imagine AI as the future of mankind while others see it as an existential threat (great threat to society?). There are opportunities and obstacles and many legal, ethical and technical issues. Law in the Era of AI addresses the rapid development of AI from multiple perspectives. The Conference is divided into four blocks:

1. Data Protection
How is data protection and privacy affected? AI is in crucial parts a data-driven phenomenon. The amount of data increases as systems develops: possible gains in efficiency and quality are substantial. Simultaneously, it is obvious that security risks, sources of errors and opportunities for misuse are considerable. Which are the real risks and what is the role of law?

2. Transparency
How is transparency ensured? AI applications can function autonomously and also change behaviours over time. How can independent and dynamic processes be understood and controlled?

3. Liability
How should responsibility be allocated? AI is often integrated as a component in complex systems of systems. To what extent is it possible to investigate causality and upon whom can responsibility be assigned for errors and accidents? Also, to what extent do traditional legal concept remain relevant?

4. How to Regulate?
How can AI be regulated? In order to function in a digital society? laws and other regulations should be built-in into the systems. This movement is sometimes referred to as “code as law” and is closely connected to “techno regulation” and “value sensitive design.” For example, law must be embedded into the system design of self-driving vehicles so that they can adhere to the traffic rules. How can the law be developed in order to meet the need of proactive and operative forms of rules?

The blocks begin with presentations of speakers with different backgrounds and extensive experience concerning the addressed issues. Several international experts will participate. In addition to drawing a picture of where we stand today, each block will include a moderated discussion.