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

[Virginia Dignum - TBM]

HUMAINT Winter school on AI and its ethical, social, legal and economic impact
Centre for Advanced Studies<https://ec.europa.eu/jrc/en/research/centre-advanced-studies>, Joint Research Centre, European Commission
February 4-8th 2019, Seville, Spain<https://en.wikipedia.org/wiki/Seville>
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<https://ec.europa.eu/jrc/communities/community/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<http://www.lorentzcenter.nl/lc/web/2019/1064/info.php3?wsid=1064&venue=Snellius>, taking place at the Lorentz Centre, Leiden, Netherlands, the week before.



Participants

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

Academic coordinator: Prof. Virginia Dignum<https://www.tudelft.nl/tbm/over-de-faculteit/afdelingen/engineering-systems-and-services/people/associate-professors/dr-mv-virginia-dignum/> (Technical University of Delft).

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

Confirmed faculty:
·         Prof. José H. Orallo,<http://users.dsic.upv.es/~jorallo/> Universidad Politécnica de Valencia and Leverhulme Centre for the Future of Intelligence, University of Cambridge.
·         Prof. Ansgar Koene<https://www.nottingham.ac.uk/computerscience/people/ansgar.koene>, University of Nottingham
·         Prof. Ramón López de Mántaras <https://www.iiia.csic.es/~mantaras/> , Director of the IIIA (Artificial Intelligence Research Institute) of the CSIC (Spanish National Research Council)
·         Dr. Christopher Markou<https://www.law.cam.ac.uk/people/research-students/cp-markou/6574>, Faculty of Law, University of Cambridge.
·         Dr. Nuria Oliver<http://www.nuriaoliver.com/>, Chief Data Scientist at DataPop Alliance and Director of Research in Data Science at Vodafone.
·         Jonnie Penn<https://jonniepenn.com/>, Google Technology Policy Fellow, Pembroke College, University of Cambridge.
·         Prof. Frank Dignum<http://www.staff.science.uu.nl/~dignu101/>, 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



jrc-humaint at ec.europa.eu<mailto:jrc-humaint at ec.europa.eu>

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