Course: “Artificial Intelligence: Legal Challenges”, September 20-23 (EIPA, Maastricht)
The first part of the course will zoom into the fundamental concepts related to artificial intelligence from the ethics and fundamental rights perspective.
In sessions on ‘A European Strategy on Data and Artificial Intelligence’, you will gain a clear overview of how the European legal frameworks, including new proposals, address the challenges of technological disruption and the use of artificial intelligence technologies. You will understand how data can be made available for use and reuse in compliance with European principles and values, but also the roles of new actors (e.g. data-sharing providers, operators and users) and their responsibilities in developing, deploying and using artificial intelligence. The aim of the European Strategy on Artificial Intelligence to protect citizens and consumers, and stimulate positive innovation at the same time, will be the focus in the discussion on regulatory sandboxes and the gatekeeper role of the data protection authorities.
Over the last decades, the concept of data protection has been provoked by technological innovation and with artificial intelligence technologies, it is no different. So, a special focus will be placed on privacy and data protection. But other areas of law, such as tort law and competition law, can address the reliability of artificial intelligence technologies and additional concerns related to the deep market changes in a digitalised world.
In the last part of the course, sectoral specificities will be addressed. By landscaping the current state of the art in the different sectors, you will gain insights into how the Member States intend to integrate artificial intelligence in their governance processes, how the enforcement agencies are harnessing artificial intelligence technologies in their work and how the uptake of artificial intelligence has redesigned the healthcare services.
What will you learn
- become familiar with the concepts of artificial intelligence, high-risk artificial intelligence, open data, use and reuse of data, and data altruism;
- develop knowledge of relevant EU instruments, including the General Data Protection Regulation, Data Governance Act (proposal), Digital Markets Act and Digital Services Act and the Regulation on a European Approach for Artificial Intelligence (proposal);
- discuss challenges and opportunities related to the deployment and use of artificial intelligence technologies;
- understand the concept of regulatory sandboxes and how this new ‘experimental instrument’ which emerged as a response to regulatory lag and frictions, supports innovation in the artificial intelligence field;
- understand the frictions between data protection provisions and the use of artificial intelligence;
- gain insights into how artificial intelligence has been harnessed or is intended to be harnessed in government processes and for public services, by the enforcement agencies and in the healthcare sector;
- gain knowledge on how to ensure competition in a digitised world and how tort law applies to artificial intelligence systems;
- become familiar with the risks and threats when using artificial intelligence technologies;
- benefit directly from the insights of artificial intelligence policymakers and experts, and benefit from networking opportunities during the online breaks;
- develop your international professional network in the field of artificial intelligence and data protection.
This course is also open to participants with less advanced knowledge of artificial intelligence and governance of data. It therefore includes:
- detailed explanations of the key concepts, principles, roles and responsibilities of the artificial intelligence actors;
- insights with practical examples based on thorough scientific research;
- input and coaching on practical issues encountered by participants;
- a highly interactive approach with opportunities to ask questions and share experiences.
Learn more here.
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