Online conference

Automated Decision Making - AI systems and individual rights

Date
Thursday July 15, 2021 from 9:00 AM to Friday July 16, 2021 12:00 PM
Location
Online | MS teams
Organizer
TU/e EAISI | LIUC University | Geneva University
Co-organizer
LIUC University | HES-SO, University of Applied Sciences in Geneva, Switzerland
Price
free

2-day conference

Automated Decision Making - AI systems and individual rights

 

This event is part of the activities of the COST Action DigForASP.

 

On July 15 & 16 the Eindhoven Artificial Intelligence Systems Institute (EAISI) and Data Management & Library (DML) will host this 2-day conference on Automated Decision Making, organized together with LIUC University and Geneva University. The event is part of the activities of the COST Action DigForASP.

The event aims to explore ethical, legal and technical issues of Automated Decision Making systems concerning individual rights in light of the upcoming EU Regulation, such as the impact of ADM on citizens and vulnerable groups, the need of transparency and explicable AI, the consequences of ADM within the trial and during criminal investigations, recent cases of ADM incidents, how ADM impact changes with big data and linking to public databases, ADM and GDPR, ADM in the context of health care.

You are most welcome to join, so save the date for an inspiring afternoon! After registration you will receive a log-in link for MS teams by email.

More information: https://digforasp.uca.es/admevent/

Day 1 - Thursday 15 July 9:30 AM - 4:30 PM
Day 2 - Friday 16 July 9:15 AM - 12:45 PM

Thursday 15 July | Morning session

Chair: David Billard (Geneva HES-SO University of Applied Sciences)

09:30

Chiara Gallese Nobile, Eindhoven University of Technology

Opening

09:45

Carlo van de Weijer (General Manager EAISI, TU/e) and Iza Witkowksa  (Head of Privacy, TU/e) 

Salutations

10:00 Stefania Costantini, University of L’Aquila Introductory information of COST Action
10:15 Marta Poblet Balcell, RMIT University AI governance and collective intelligence: opportunities and challenges
10:45 COFFEE BREAK  
11:00 Vincent Müller, Eindhoven University of Technology

Deep Opacity Undermines Data Protection and Explainable AI

11:30 César Hidalgo, University of Toulouse

How humans judge machines

12:00 Discussion among panelists  
12:30 LUNCH BREAK  

Thursday 15 July | Afternoon session

Chair: Chiara Gallese Nobile (Eindhoven University of Technology)

13:30

Chiara Gallese Nobile, Eindhoven University of Technology

Introduction to the afternoon session

13:45

Alexandros Kalousis, HES-SO University of Applied Sciences, Western Switzerland

AI's blind spots and societal challenges

14:15

Francisco de Elizalde, IE University

Automation of Justice. How law could determine technological success

14:45 COFFEE BREAK  

15:00

Andrea Pin, University of Padua

Rage Against the Machine? The Fear of ADM and Comparative Constitutional Law

15:30 Discussion among panelists  
16:00 Discussion with the public  

Friday 16 July | Morning session

Chair: Elena Falletti (Carlo Cattaneo University LIUC)

09:15

Elena Falletti, Carlo Cattaneo University, LIUC

Welcome and introduction to the second day

09:30

Angela Müller, Senior Policy & Advocacy Manager, Algorithm Watch

Automated Decision-Making, Ethical Implications, and Legal Approaches

10:00

Sicco Verwer, Delft University of Technology

 

10:30 COFFEE BREAK  

10:45

Susana Vieira, University of Lisbon

Transparency and Reproducibility in Artificial Intelligence in Health Care Research

11:15 Discussion among panelists  
11:45 Discussion with the public  
12:15 David Billard, Geneva HES-SO University of Applied Sciences Closing remarks

DETAILED INFORMATION

Automated decision-making (ADM) systems, i.e., systems used to take a decision by automated means without any human intervention, are increasingly widespread. The development of new Artificial Intelligence (AI) techniques is contributing in making those systems even more common and accessible, and they are now integrated in everyday life. Although they can lead to quicker and more consistent decisions, by helping humans in reaching a better performance, there may be significant risks for citizens' rights and freedom. Indeed, they are often used to affect citizens' rights without them being fully aware of the consequences on their lives, as in the case of insurance contracts, verification of credit worthiness, hiring processes, granting of social benefits, and many other tools. In some cases, negative effects may occur even when used responsibly and lawfully. In addition, the increasing availability of personal data on the Internet and from interconnected devices has made the linking between multiple sources easier, allowing the automated and large scale analysis and prediction of individuals' preferences, habits, personality, and behavior. To address these problems, the European Commission recently published a proposal for a new Regulation on AI, providing specific compliance procedures for those systems that are considered more dangerous, requiring humans to be aware that they are interacting with an AI, and banning some technologies, such as facial recognition in public accessible places. This event aims to explore ethical, legal and technical issues of ADM systems such as the impact of ADM on vulnerable groups, the need for transparent and explainable AI, the consequences of ADM within the trial and during investigations, and some recent cases of ADM causing negative effects on individuals, for instance in the medical field. Also, it will be discussed how the ADM topic is regulated by GDPR.

Organizing committee

Chiara Gallese Nobile, Eindhoven University of Technology, NL
David Billard, HES-SO, University of Applied Sciences in Geneva, CH
Elena Falletti, Carlo Cattaneo University LIUC, IT
Francesca A. Lisi, University of Bari, IT (Science Communication Manager of COST Action DigForASP)

Please note

The event will be recorded and displayed in the DigForAsp website as part of the dissemination activities of the Action. During the event, screenshot will be acquired and used to advertise the event on social media and in the website. You have the option to disable your camera and microphone at any time during the event. You also have the right to object to the processing of your personal data based on DigForAsp's legitimate interest. Please read the following privacy notice to know more details about how we process personal data and what are your rights. ► Download Privacy Notice