TUESDAY 18
goos
Evangelia MARKIDOU
Head of Sector – Artificial Intelligence Technology, Deployment and Impact at European Commission

 


Diego
Diego Torricelli
Neural Rehabilitation Group at Cajal Institute, CSIC

ferro
Francesco Ferro
PAL Robotics

Vitielo
Nicola Vitiello
Associate Professor at Scuola Superiore Sant’Anna, Co-Founder & Advisor of IUVO Srl

glasewald
Georg Glasewald
YUANDA robotics



glasewald
Igor Aristizabal
Tecnalia



Bonadio
Enrico Bonadio
Senior Lecturer in Law at The City Law School

 

WEDNESDAY 19
Leimbach
Thorsten Leimbach
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Germany

Leimbach
Costas Sisamos
ENGINO, Founder & Managing Director, Cyprus

siciliano
Bruno Siciliano
Director of the Interdepartmental Center for Advances in RObotic Surgery (ICAROS).
Coordinator of PRISMA Lab at the University of Naples Federico II

glasewald
Sylvie Bove
RISE Research Institutes of Sweden



glasewald
Björn Arvidsson
Managing Director at STUNS Life Science at Uppsala University



glasewald
Jakob Hellman
Head of IT at The Swedish Agency for Innovation Systems



glasewald
Björn-Erik Erlandsson
Professor, Senior Advisor



 

THURSDAY 20
glasewald
Angela Sanguinetti



glasewald
Christian Twigg-Flesner



glasewald
Vagelis Papakonstantinou



glasewald
Fabio Bonsignorio
Heron Robots

glasewald
Vincent Müller
University of Leeds/Technical University of Eindhoven/Alan Turing Institute

 

Title: What is hot in AI ethics?
Abstract: It is clear that we should not do everything with AI that we could do – as is the case with other technologies as well. So “ethics of AI” has dealt with a number of concerns, from privacy, fake news and autonomous weapons to the end of humanity. What are the truly important issues that we should work on? I will try to give a short survey and propose an order into theoretically and practically important themes.


glasewald
Fiachra O’Brolchain
Dublin City University

glasewald
Dan Linna
Northwestern University



glasewald
Carlos Trias Pintó
European economic and Social Committee

goos
Maarten Goos
Universiteit Utrecht

Title: Automation, New jobs and Inequality: Policy Implications


goos
José Ignacio López Sánchez
Universidad Complutense de Madrid

Title: The impact of robotics and computerization on the labour market. Automation and inequality: does a relation exist?

Abstract:

First, analysing the evolution of robots in the world in order to draw initial conclusions regarding the behaviour of some countries, then verify if countries with a higher density of robots per worker are countries whose jobs have a lower risk of being replaced by automation and are more competitive. A time-series clustering algorithm allows us to identify four different clusters based on similar evolution over the studied period. We have can observe empirical evidence that that those countries that have a higher density of robots, per worker, generally have a lower unemployment rate. Similarly, we can observe empirical evidence that those countries whose workers are more productive present a lower risk of automation of their jobs. Automation itself is not bad. In fact, countries with a higher productivity per worker are countries whose jobs have a lower risk of being replaced by automation.

Secondly, we identify the capabilities and skills demanded in the expected positions in the coming years. We make a first approximation to the jobs that could be destroyed, but also that will be created. Jobs requiring physical and manual skills, and basic cognitive skills will be the first to be automated; while the most demanding jobs will require social, emotional and technological skills. Through data analysis and the extrapolations made (2016-2030) we can conclude that United States would lose 9,730,337 jobs but would need 21,179,775 new jobs (higher cognitive skills, social and emotional skills, and technological skills). The net balance would be an increase of 11,449,438 jobs. Western Europe would lose 18,792,969 jobs, but would need 27,605,046 new jobs. The net balance would be an increase of 8,812,077 jobs. Western Europe would lose many more jobs than the United States, and would not recover them in the same proportion.

And third, using a sample of 33 European countries in the period 2000-2016, this paper analyses the relationship between economic inequality, measured by the Gini index, and the automation level, evaluated according to the number of robots per 10,000 workers. Using a panel data approach, the conclusion is that higher levels of automation lead to a reduction in inequality in the medium term. The explanation for this phenomenon can be found in the fact that automation increases wealth in the country, which can be used by governments to reduce inequality through redistributive policies.


glasewald
María-Luz Vega
International Labour Organization

glasewald
Roberto Suárez-Santos
International Organization of Employers



luke
Luke McDonagh
Senior Lecturer in the Law School at City, University of London

rita
Rita de la Feria
University of Leeds

glasewald
Santiago Mediano
Madrid Bar Association

glasewald
Franco Roccatagliata
TAXUD-European Commission



amparo
Amparo Grau
UCM