HUMAINT Winter school on AI and its ethical, social, legal and economic impact

Centre for Advanced StudiesJoint Research Centre, European Commission

February 4-8th 2019, Seville, Spain

Introduction

Artificial Intelligence (AI), both embedded in systems or embodied in artifacts (e.g robots), is increasingly everywhere. It affects everyone, and has the capability to transform public and private organisations and the services and products they offer. Whereas AI has huge potential to make our lives easier, and help us to solve some of the world's biggest challenges, there are increasing concerns about its impact on humans and society. The development and use of AI raises fundamental ethical, legal and economic issues for society, which are of vital importance to our future.

The HUMAINT winter school is conceived as a one-week interdisciplinary discussion forum about the impact of Artificial Intelligence (AI) systems on human behaviour and the related ethical, social, economic and legal issues. The winter school is structure in two main parts, both sharing a panel discussion and a poster session:

·         The first part (Mon-Tue) provide and introduction to the state of the art and current challenges of AI, targeting non-specialist technical audiences including developers, journalists or policy makers. It is structured in a series of lectures, a panel discussion and a poster session.

·         The second part (Tue-Fri) includes research-oriented discussions and project-based team work on a set of ethical, legal and societal issues related to recent advancement in AI. This part is designed for early stage researchers (PhD students and postdocs) working in academic institutions and industry. It is structured in a series of lectures, project-based work with tutors and tutoring sessions on research projects by experts in the field.

 

Keywords

Artificial intelligence, machine learning, robotics, evaluation, transparency, accountability, fairness, discrimination, algorithms in decision making processes, future of work, human behaviour with AI, ethics, legal, diversity, industry concerns, certification/standards.

 

Context

This school in Seville is organized by the HUMAINT project (Centre for Advanced Studies, Joint Research Centre, European Commission) and linked to the research workshop  The Future of AI: Ethical, Legal, and Societal Issues, taking place at the Lorentz Centre, Leiden, Netherlands, the week before.

 

Participants

Attendees: Around 25 researchers and 25 non-specialist technical participants.

Academic coordinatorProf. Virginia Dignum (Technical University of Delft).  

Organizing team: Dr. Emilia Gómez (JRC and Universitat Pompeu Fabra).

Confirmed faculty:

·         Prof. José H. Orallo, Universidad Politécnica de Valencia and Leverhulme Centre for the Future of Intelligence, University of Cambridge.

·         Prof. Ansgar Koene, University of Nottingham

·         Prof. Ramón López de Mántaras , Director of the IIIA (Artificial Intelligence Research Institute) of the CSIC (Spanish National Research Council)

·         Dr. Christopher Markou, Faculty of Law, University of Cambridge.

·         Dr. Nuria Oliver, Chief Data Scientist at DataPop Alliance and Director of Research in Data Science at Vodafone.

·         Jonnie Penn, Google Technology Policy Fellow, Pembroke College, University of Cambridge.

·         Prof. Frank Dignum, Utrecht University

 

Registration

The winter school is free of charge.

Registration link will be available soon. 

The HUMAINT project will provide financial support for a selected group of participants based on the applicant CV, degree of financial need and diversity.

 

Preliminary program

 

 

Non-specialist technical audiences

 

 

 

Early-stage researchers

 

Mon. 4th

Tue. 5th

Wed. 6th

Thu. 7th

Fri. 8th

Morning

What is AI?introduction, historical overview,  status, trends and challenges.



 

What is AI?robotics, machine learning.

 

Discussion panel: The policy makers / industry / media perspective

Lectures (slots for 3 lectures): fundamentals

·         algorithms

·         evaluation

·         design methods

Lectures (slots for 3 lectures): principles

·         values (fairness, diversity, discrimination…)

·         social interaction

·         standards

Lectures(slots for 3 lectures): impact

·         human behavior

·         future work

·         communication

·         creative arts

Afternoon

Impact of AI: ELSE(ethics, legal, social, economic impact)

Poster session.

 

Project definition and team building

Project work

Project work

Project work





 

Final project presentation

Evening

Social event

 

 

Diner

 

 

Important dates

 

·         Registration deadline / application for financial support: November 1st. 

·         Notification of acceptance: December 1st. 

 

Contact

 

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