Schwartz Reisman Institute
Researchers explore shifting AI landscape at Absolutely Interdisciplinary conference
July 12, 2023
Researchers across disciplines gathered recently at the Absolutely Interdisciplinary conference to reckon with the ramifications of the evolving AI landscape – from the technology’s transformative impacts on work and education, to its implications for human cognition and values.
The third annual academic conference held by the Schwartz Reisman Institute for Technology and Society (SRI) at the University of Toronto featured 23 speakers from diverse fields such as computer science, psychology, law, economics, education, philosophy, media studies, and literature.
U of T researchers developing AI system to tackle harmful social media content
May 12, 2023
What if we used artificial intelligence to combat such harmful content such as hate speech and misinformation? That’s the goal of a team of University of Toronto researchers who were awarded a Catalyst Grant by the Data Sciences Institute (DSI) to develop an AI system to address the marginalization of communities in data-centric systems – including social media platforms such as Twitter.
Brave new tech: Experts say AI tools like ChatGPT – and the ethical questions they raise – are here to stay
April 5, 2023
In recent months, news headlines have outlined the issues relating to generative AI tools and content. Illustrators, graphic designers, photographers, musicians and writers have expressed concerns about losing income to generative AI and having their creations used as source material without permission or compensation.
On the academic front, instructors are having to cope with students submitting work written by ChatGPT and are re-evaluating how best to teach and assess courses as a result. Institutions such as U of T are examining the ramifications of this technology and providing guidelines for students and instructors.
Canada’s opportunity in the future of genomics
March 1, 2023
One of U of T’s strengths lie in human genomics, which is supported by top-ranked faculty and researchers, anchored by a strong network of affiliated hospitals and medical research centers. Together, this network continues to advance frontiers of knowledge in critical areas of genomics including genetic susceptibility to disease, personalized medicine, machine learning for biomedical data, and more. Innovation hubs like the Emerging and Pandemic Infections Consortium (EPIC), Precision Medicine Initiative (PRiME), Medicine by Design, and the Structural Genomics Consortium are part of a network of high-impact interdisciplinary research centres that leverage areas of focus such as infectious disease, regenerative medicine, cell therapy, drug discovery, open science and more.
Two U of T professors named Canada CIFAR AI Chairs
October 31, 2022
University of Toronto professors Gillian Hadfield, director of the Schwartz Reisman Institute for Technology & Society, and Anatole von Lilienfeld, of the department of chemistry in the Faculty of Arts & Science, have been named Canada CIFAR AI Chairs in recognition of their global leadership in artificial intelligence research.
AI, tech and social justice: U of T Groundbreakers EP4
January 17, 2022
What is the relationship between pollution and colonialism in Canada? How can AI and related technologies avoid perpetuating racism and gender bias? These are some of the questions explored in episode four of the Groundbreakers video series when host Ainka Jess speaks with researchers from two of the University of Toronto’s Institutional Strategic Initiatives: the Schwartz Reisman Institute for Technology […]
ABSOLUTELY INTERDISCIPLINARY
May 23, 2021
An academic conference hosted by the Schwartz Reisman Institute for Technology and Society at the University of Toronto. about absolutely interdisciplinary Understanding the capacities and limitations of complex new technologies like artificial intelligence (AI) calls for more than just a technical perspective. Absolutely Interdisciplinary convenes researchers from across disciplines to build new, interdisciplinary approaches to […]
SRI and the Rockefeller Foundation partner on building tangible solutions to the challenge of AI governance
March 4, 2021
Innovating AI Governance: Bold Action and Novel Approaches is an ongoing series of workshops developed by the Schwartz Reisman Institute for Technology and Society in collaboration with the Rockefeller Foundation. MAR 25, 2021 BY JOVANA JANKOVIC AI and related technologies are increasingly being implemented in all aspects of society, from healthcare to marketing, retail, robotics, financial and […]
Schwartz Reisman Institute and AI Global to develop global certification mark for trustworthy AI
December 1, 2020
DEC 1, 2020 BY JOVANA JANKOVIC (Schwartz Reisman Institute and AI Global to develop global certification mark for trustworthy AI — Schwartz Reisman Institute (utoronto.ca) A new partnership between non-profit AI Global and the Schwartz Reisman Institute for Technology and Society will create a globally recognized certification mark for the responsible and trusted use of AI systems. […]
Improving private sector privacy for Ontarians: Schwartz Reisman recommendations for data governance in the digital era
November 17, 2020
NOV 17, 2020 BY JOVANA JANKOVIC (Who decides? Consent, meaningful choices, and accountability — Schwartz Reisman Institute (utoronto.ca)) Our rights to privacy and to the protection of our personal data are fundamental. But in a digital and increasingly data-rich world, legislation is struggling to keep up with the unique characteristics of the ways in which data is […]
What are regulatory markets and how can they help ensure that AI is safe, fair, and ethical?
March 25, 2020
Article from https://sr-institute.utoronto.ca/openai/ Misinformation and election interference. Racial bias in the criminal justice system. Self-driving car accidents. Artificial intelligence is changing the world so quickly, it’s unclear how regulators can keep up with ongoing developments. As the COVID-19 pandemic continues to affect our communities and the world, the need for nimble and responsive AI regulation […]