Solutions Jamie A Sandhu Solutions Jamie A Sandhu

Can a market-based regulatory framework help govern AI? New report weighs in

In April 2024, the Schwartz Reisman Institute for Technology and Society (SRI) hosted a workshop that brought together 33 high-level experts to explore the viability of regulatory markets. Over the course of the workshop, participants identified key challenges and worked through practical steps to move from theory to operationalization, laying the groundwork for a clear roadmap toward future governance. Their findings are captured in a new report (PDF) published today by SRI.

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Research Schwartz Reisman Institute Research Schwartz Reisman Institute

Unequal outcomes: Tackling bias in clinical AI models

A new study by SRI Graduate Affiliate Michael Colacci sheds light on the frequency of biased outcomes when machine learning algorithms are used in healthcare contexts, advocating for more comprehensive and standardized approaches to evaluating bias in clinical AI.

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Research Jo-Ann Osei Twum, Michael Colacci, Felix Menze Research Jo-Ann Osei Twum, Michael Colacci, Felix Menze

Innovating care: Exploring the role of AI in Ontario’s health sector

What opportunities and challenges are there for the use of AI in healthcare? At a recent SRI workshop, experts explored how AI is transforming Ontario's healthcare sector, highlighting its potential to improve care and exploring pressing challenges around patient involvement, health equity, and trustworthy implementation.

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Commentary, Solutions Ella Lim Commentary, Solutions Ella Lim

From mourning to machine: Griefbots, human dignity, and AI regulation

Griefbots are artificial intelligence programs designed to mimic deceased individuals by using their digital footprint. Griefbots raise significant concerns about data collection and implications to human dignity. This article explores the digital afterlife industry and the ethical and legal challenges it presents, including a consideration of health, privacy, and property laws in Canada.

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