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  • Europe/Rome
  • English
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Description
An ICTP Virtual Meeting

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.

Keynote Speakers
P. AHRWEILER, Johannes Gutenberg University Mainz, Germany
C. HEITZ, ZHAW School of Engineering, Switzerland
D. HUYSKES, Privacy Network, Italy
S. KENNEDY, Santa Clara University, USA
A. LAWRENCE, Institute for Astronomy, UK
P. PALMA, UNESCO, France
M. ROVERI, Politecnico di Milano, Italy
T. SCANTAMBURLO, University of Venice, Italy
V. SCHIAFFONATI, Politecnico di Milano, Italy
R. TROTTA, SISSA, Italy


Registration: There is no registration fee.

Material

Ethical and Societal Challenges of Machine Learning | (smr 3749)
Go to day
  • Monday, 7 November 2022
    • 13:30 - 15:30 Workshop Opening
      • 13:30 Workshop presentation 10'
        Speaker: Marco Zennaro (ICTP, Italy)
      • 13:40 What we wish achieve 10'
        Speaker: Teresa SCANTAMBURLO (University of Venice, Italy)
      • 13:50 Ethical challenges of ML for scientists 10'
        Speaker: Roberto TROTTA (SISSA, Italy)
      • 14:00 When government automate: public accountability and discrimination 50'
        Speaker: Diletta HUYSKES (Privacy Network, Italy)
      • 14:50 Group photo 10'
      • 15:00 Open Discussion 30'
  • Tuesday, 8 November 2022
    • 16:00 - 18:00
      • 16:00 Looking Beyond Regulations: Why Ethics Matters for ML 1h0'
        Speaker: Susan KENNEDY (Santa Clara University, USA)
        Material: Slides
      • 17:00 Open Discussion 15'
      • 17:15 Some ethical issues of IoT in the light of Tiny ML and Federated Learning 45'
        Speaker: Viola SCHIAFFONATI (Politecnico di Milano, Italy), Manuel ROVERI (Politecnico di Milano, Italy)
  • Wednesday, 9 November 2022
    • 13:30 - 15:30
      • 13:30 An overview of UNESCO’s Recommendation on the Ethics of AI and its implementation 45'
        Speaker: Pauline PALMA (UNESCO, France)
      • 14:15 Open Discussion 15'
      • 14:30 The challenge of satellite megaconstellations 45'
        Speaker: Andy LAWRENCE (Institute for Astronomy, UK)
      • 15:15 Open Discussion 15'
  • Thursday, 10 November 2022
    • 13:30 - 15:30
      • 13:30 Artificial Intelligence for Assessment 45'
        Speaker: Petra AHRWEILER (Institute of Sociology, Johannes Gutenberg University Mainz, Germany)
        Material: Slides
      • 14:15 Open Discussion 15'
      • 14:30 AI and social justice: Bias and Fairness in AI-based Decision Making 45'
        Speaker: Christoph HEITZ (ZHAW School of Engineering, Winterthur, Switzerland)
        Material: Slides
      • 15:15 Open Discussion 15'
  • Friday, 11 November 2022
    • 13:30 - 15:30 Panel Discussion / Case Studies
      Convener: Matogoro JABHERA (AI Lab in Dodoma, Tanzania), Anup Kumar DAS (Centre for Studies in Science Policy, New Delhi), Sharique MANAZIR (Indian School of Business, Mohali), Monday ADENOMON (Nasarawa State University, Nigeria)
      Material: Dr. ADENOMON.pdf Dr. DAS.pdf Dr. JABHERA.pdf Dr. MANAZIR.pdf
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