Back Emilia Gómez will lead the JRC project HUMAINT to understand the potential impact of machine learning in human behaviour and societal welfare

Emilia Gómez will lead the JRC project HUMAINT to understand the potential impact of machine learning in human behaviour and societal welfare

JRC-CAS is now launching the three year interdisciplinary project HUMAINT, led by Emilia Gómez, to understand the potential impact of machine learning in human behaviour and societal welfare. It will be carried out at JRC centre in Seville, Spain. The team is currently being created, the open call for postdoctoral positions is available here. On November 9th, around the cellebration of  the World Science Day for Peace and Development , we will hold an open debate around on the relations between technological development and human behaviour, in the context of some of the research carried out at the Department.

19.10.2017

 

The JRC Centre for Advanced Studies (JRC-CAS) was established to enhance the JRC’s capabilities to meet emerging challenges at the science-policy interface.

JRC-CAS is now launching the three year interdisciplinary project HUMAINT, led by Emilia Gómez, to understand the potential impact of machine learning in human behaviour and societal welfare. It will be carried out at JRC centre in Seville, Spain.

The team is currently being created, the open call for postdoctoral positions is available here.

Some description of the project in the media:

In this context, and in the framework of the World Science Day for Peace and Development (November 10th), we started an open discussion around aspects linked to the relations between technological development and human behaviour, in the context of some of the research carried out at the Department.

Date: November 9th, 12h30 - 13:30h. Auditorium

Followed by some snacks at the hall of the auditorium to continue discussions (to make an estimation of attendants, please leave your name and surname in this doodle)

Program:

  • Introduction by Emilia Gómez and the new JRC project "machine learning and human behaviour"
  • Vladimir Estivill - Ethical decision making in robots
  • Carlos Castillo - algorithmic bias in machine learning, related to the project awarded by Data Transparency Lab
  • Xavier Serra, cultural bias in computational models, linked to the work at the ERC project CompMusic
  • Open discussion.

 

Multimedia

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SDG - Sustainable Development Goals:

Els ODS a la UPF

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