Events, Research Lillio Mok Events, Research Lillio Mok

How algorithms can strengthen democracy: Ariel Procaccia on designing citizens’ assemblies

The practice of sortition, in which random selection is used to generate citizens’ assemblies, is a method of political representation as old as democracy itself. In a recent SRI Seminar, Harvard professor Ariel Procaccia discussed how better algorithms can ensure this process accurately represents population demographics. SRI Graduate Fellow Lillio Mok reflects here on the implications of Procaccia’s research.

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Commentary Suzanne van Geuns Commentary Suzanne van Geuns

What does it mean to consider religion when thinking about AI?

In an op-ed reflecting on the entwined histories of science and religion, 2020–21 SRI Graduate Fellow Suzanne van Geuns reconsiders the often-maligned position of faith-based traditions in the research of artificial intelligence and natural evolution, exploring the generative points of connection between these different approaches towards knowledge.

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Events, Research Schwartz Reisman Institute Events, Research Schwartz Reisman Institute

SRI Graduate Fellows invite submissions for 2022 workshop, “Technologies of trust”

The 2022 Schwartz Reisman Graduate Workshop invites graduate and early career scholars to present their work at a one-day, virtual event on June 20th, as part of Absolutely Interdisciplinary 2022. Organized by SRI’s Graduate Fellows, this year’s workshop centers on the theme of trust, broadly defined, and its relationship to technology and society.

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Events, Research Marco Monteiro Silva Events, Research Marco Monteiro Silva

SRI Kitchen Table explores data rights in a world of power imbalances, mass surveillance, and super-powered facial recognition

In the Schwartz Reisman Institute’s inaugural Kitchen Table event, Research Lead Wendy Wong and Faculty Fellow Anna Su hosted a wide-ranging discussion on the implications of human rights for data ownership and privacy, and how we can address the challenges of writing new rules for an increasingly digital world.

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Events, Research Vinyas Harish Events, Research Vinyas Harish

Hope, faith, and stories: What betting, witchcraft, and craftsmanship in rural Bangladesh teaches us about ethical pluralism and decolonizing AI

In a recent SRI Seminar, Faculty Fellow Syed Ishtiaque Ahmed demonstrated how the dominant model of AI ethics is insufficient to strengthen the voices of local communities in the Global South. Ahmed contends scholars should move away from “universal” notions of intelligence, and foster situated ethical practices that take into account local hopes, faith, and stories.

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Research Schwartz Reisman Institute Research Schwartz Reisman Institute

Why we shouldn’t “move fast and break things”: Shion Guha on the benefits of human-centered data science

SRI Faculty Affiliate Shion Guha joined U of T’s Faculty of Information in 2021 to help develop its new program in human-centered data science, a nascent field that he has co-authored a new textbook about. In this interview, Guha reflects on the challenges of using algorithmic decision-making in public policy, and how to make better data-driven systems by incorporating human-centered design.

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Announcement, Events Dan Browne Announcement, Events Dan Browne

SRI partners with the Canada School of Public Service to train public servants on AI

How can artificial intelligence improve public services and help create a more sustainable future? Can governments implement AI in ways that ensure fairness and transparency? To explore these questions, SRI has partnered with the Canada School of Public Service to present an eight-part series designed to explain what AI is, where it’s headed, and what public servants need to know about it.

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Commentary, Events, Research Daniel Konikoff Commentary, Events, Research Daniel Konikoff

The shape of the future: How will technology transform our lives?

Where is technology leading us? When we speak about the future, what does it mean for our identity as individuals and as citizens of states? When we arrive home, what will it look like? Themes of identity, place, and mediation were explored at the Schwartz Reisman Institute’s graduate workshop “Views on Techno-Utopia” by presenters Rushay Naik and Lilith Acadia.

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Events, Research Elliot Creager Events, Research Elliot Creager

Mitigating bias in algorithmic decision-making calls for an interdisciplinary effort

Machine learning (ML) is increasingly used for producing automated decisions throughout society. While ML offers the promise of scale and efficiency, it runs the risk of codifying biases—such as racism and sexism—in its decisions. As discussed in the Absolutely Interdisciplinary conference session “Fairness in Machine Learning,” understanding and mitigating this risk will require a team effort from scholars across many disciplines.

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