Agenda

07 Nov 2022 08:55

Ethical and Societal Challenges of Machine Learning

Online

7-11 November 2022
An ICTP Virtual Meeting
Trieste, Italy

From helping farmers adapt to climate change to predicting disease outbreaks, scientists in developing countries have begun turning to ML for more effective solutions. With this potential, however, comes the possibility for abuse, misuse, and unintended consequences.

Topics:

  • Embedding Ethics Education in Machine Learning: case studies from various parts of the world that demonstrate the need for a wider perspective on ML ethical challenges.
  • Big data, privacy and democracy: ethical questions linked with big data exploitation, privacy and the dangers for democracy.
  • Machine Learning, bias and fairness: problems of ML amplified bias, and some of the possible solutions.
  • Diversity in ML: causes and impact of this lack of diversity, and some of the success stories that demonstrate how diverse teams are more successful.
  • Impact of new technologies: impacts of novel technologies like TinyML and global satellite-enabled internet services, especially on people in least developed countries.

Organizers:

Teresa Santamburlo (UniVE)
Roberto Trotta (SISSA)
Antonio Celani (ICTP)
Matteo Marsili (ICTP)
Local Organiser: Marco Zennaro (ICTP)

Application online:

Please visit this link

Female scientists are encouraged to apply.

There is no registration fee.

Organized by

ICTP

Link

https://indico.ictp.it/event/9839/overview

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