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Artificial Intelligence: Legal Challenges
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
You will:
- 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.
Course methodology/highlights
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.
Are you curious about this course but not sure if it’s for you? Grab the perfect opportunity to explore what this course has in store for you by going to our free primer module here:
Primer ModuleAfter taking this course, you can join EIPA’s dedicated community of practice together with other former participants. Keep in touch and share your ideas with this growing community of professionals on EIPA’s LinkedIn groups.
- Legal professionals: IT and privacy lawyers, policy analysts, members of the civil society organisations with an interest in broadening their knowledge on the free flow of data, data governance, digital markets and artificial intelligence;
- Anyone, in either the public or private sectors, interested in data governance, data protection, digital policies and artificial intelligence.
Online Course
For this online course we make use of Zoom
Programme Organiser
Ms Eveline Hermens
Tel: +31 43 3296259
e.hermens@eipa.eu
Discounts
EIPA member fee
EIPA offers a discount to all civil servants working for one of EIPA’s supporting countries, and civil servants working for an EU institution, body or agency
Who are the supporting countries?
Civil servants coming from the following EIPA supporting countries are entitled to get the reduced fee: Austria, Belgium, Bulgaria, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Lithuania, Luxembourg, Malta, the Netherlands, Norway, Poland, Portugal, Spain, Sweden.
For all other participants, the regular fee applies
Early bird discount
The early bird discount is not cumulative with other discounts or promo codes, except for the EIPA member fee.
Who are the supporting countries?
Civil servants coming from the following EIPA supporting countries are entitled to get the reduced fee: Austria, Belgium, Bulgaria, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Lithuania, Luxembourg, Malta, the Netherlands, Norway, Poland, Portugal, Spain, Sweden.
For all other participants, the regular fee applies.
Confirmation
Confirmation of registration will be forwarded to participants on receipt of the completed online registration form.
Payment
Prior payment is a condition for participation.
Cancellation policy
For administrative reasons you will be charged € 50 for cancellations received within 7 days before the activity begins. There is no charge for qualified substitute participants.
EIPA reserves the right to cancel the activity up to 1 week before the starting date. In that case, registration fees received will be fully reimbursed.
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Our experts
Programme
Fundamentals of Artificial Intelligence | |
09.00 | Introduction to the course Florina Pop, Data Protection Expert, EIPA, Maastricht (NL) |
09.15 | Demystifying artificial intelligence I Aleksandra Przegalinska, Vice-Rector at Kozminski University, Department for Management in Networked and Digital Societies and former MIT Research Fellow, Warsaw (PL) |
10.30 | Coffee break |
11.00 | Machine Learning and Quantum Computing Domenica Dibenedetto, Assistant Professor, Data Science & Knowledge Engineering, Faculty of Science and Engineering, Maastricht University, Maastricht (NL) |
12.00 | Lunch break |
13.30 | Artificial intelligence and fundamental rights Florina Pop |
14.30 | Coffee break |
14.45 | Paradoxes and biases in the uptake of artificial intelligence Matilda Dorotic, Associate Professor, BI Norwegian Business School, Oslo (NO) |
15.30 | End of day 1 |
A European Strategy on Data and AI | |
09.00 | A European strategy for artificial intelligence The proposal for a regulation laying down harmonised rules on artificial intelligence Martin Ulbrich, Policy Officer in the European Commission, DG Connect, European Commission, Brussels (BE) |
10.00 | Availability of data for use and reuse: Data Governance Act and artificial intelligence Andrea Tóth, Legal and Policy Advisor, DG Connect, European Commission, Brussels (BE) |
11.00 | Coffee break |
11.30 | Digital Markets Act and Digital Services Act Godefroy de Moncuit, Lecturer, EIPA, Luxembourg (LU) Florina Pop |
12.30 | Lunch break |
13.30 | Sandboxes for Responsible Artificial Intelligence Kari Laumann – Norwegian Data Protection Authority, Oslo (NO) |
14.15 | Coffee break |
14.45 | The role of EDPS with regard to AI Evanthia Chatziliasi, Legal Officer, Supervision & Enforcement, EDPS, Brussels (BE) |
15.45 | End of day 2 |
How Laws Apply to AI | |
09.00 | Artificial intelligence and data protection Florina Pop |
10.15 | Artificial intelligence from the perspective of EU competition law Godefroy de Moncuit, Lecturer, EIPA, Luxembourg (LU) |
11.15 | Coffee break |
11.45 | Artificial intelligence and tort law Godefroy de Moncuit |
12.45 | Lunch break |
14.15 | Artificial intelligence and intellectual property law Godefroy de Moncuit |
15:30 | Lab experience – computer science |
17:30 | End of day 3 |
Sectoral Application of AI | |
09.00 | Artificial intelligence and law enforcement Gregory Mounier, Head of Strategy, European Cybercrime Strategy, Europol, The Hague (NL) |
10.00 | State of play of AI in the public sector: challenges and opportunities Colin van Noordt, PhD Researcher, Tallinn University of Technology, Tallinn (EST) |
11.00 | Coffee break |
11.30 | Artificial Intelligence and Healthcare Richárd Rák, Department of Innovation and Digitalisation in Law, University of Vienna (AT) |
12.30 | Wrap-up & Evaluation |
13.00 | Take-away lunch |