Generation AI: Establishing Global Standards for Children and AI
May 6-7, 2019 | San Francisco, United States
Though children comprise one-third of the world’s internet users, online algorithms have not been constructed to consider this especially vulnerable population, particularly those exposed to high levels of poverty and inequality. These workshops will bring together an interdisciplinary team from machine learning, pediatrics, psychology, and cultural anthropology as well as proposed collaborators in educational technology, communication sciences, and computational biology. They will focus on AI as a potential amplifier of inequality and inform a research policy, and communication agenda that will bring these issues to the forefront of scientific, policy, legal, and public discussions.
Generation AI: Wearables, Mental Health and Child Development
Oct. 15-16, 2019 | Toronto, Canada
The increasing use of digital technology in adolescence is occurring at a time in their development when teens are experiencing changes in social motivation and sensitivity to social evaluation and belonging. This can enhance the vulnerabilities of the teen years. While technology can exacerbate risks of social isolation, exclusion or bullying, it also presents an opportunity to promote positive social and emotional experiences. Investment in the research, development and application of online algorithms, tools and platforms that focus on technology use during this period of life can lead to positive population health outcomes, and mitigate the potential for growing inequalities between different sociodemographic groups.
Leadership Team: Candice Odgers, University of California Irvine, United States; Anna Goldenberg, University of Toronto, Canada; Ronald Dahl, University of California Berkeley, United States; Mizuko Ito, University of California Irvine, United States
Workshop Brief: Generation AI: Establishing Global Standards for Children and AI
Workshop Brief: Generation AI: Wearables, Mental Health and Child Development
Panicking about your kids' phones? New research says don't (The New York Times)
Fairness, Interpretability & Privacy for Algorithmic Systems*
June 3-4, 2019 | London, United Kingdom
Addressing themes of AI safety and privacy, this workshop proposes to investigate how algorithms in consumer services can be ethically and safely deployed. The research agenda was informed by the perspectives of lawyers, ethicists, and technology experts, and transcends national and disciplinary boundaries.
Adrian Weller, The Alan Turing Institute, United Kingdom; Nozha Boujemaa, INRIA, France; Jonathan Schaeffer, University of Alberta, Canada