Digital technologies are briskly transforming how the law is administered. The eco-system in which courts operate has shifted sharply and precipitously during the pandemic, which dramatically hastened "judicial digitization" on a scale and at a pace that our court system would never have contemplated previously. This has culminated, for example, in court proceedings transpiring on Zoom, Teams and the like. This de facto marriage of convenience may in a word best be characterized as an unstructured partnership prematurely born out of necessity… Karen Eltis writes in the Federmann Cyber Security Research Centre's Cyberlaw Blogospace
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When vaccine passports or certificates launched in Ontario it was a development welcomed by some and strongly opposed by others. The launch raised a myriad of legal, ethical, privacy, and policy issues as jurisdictions around the world grapple with the continued global pandemic and the unusual requirements of demonstrating vaccination in order to enter some public or private spaces. On September 27 CHLPE's Colleen Flood, Bryan Thomas, and Kumanan Wilson were joined by Vivek Krishnamurthy, Director of uOttawa's Canadian Internet Policy and Public Interest Clinic (CIPPIC), as well as Marie-Eve Sylvestre, Dean of Civil Law. Catch up on the full video of the webinar and discussion here.
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Also hear Colleen Flood on the Law Bytes Podcast, hosted by Professor Michael Geist.
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CHLPE’s Patrick Fafard was interviewed by Markham Hislop on the role of Science Advisory Groups and scientific evidence and advice in general in how governments manage the pandemic.
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AI in healthcare has the potential to improve clinical outcomes, healthcare quality, and objectivity in clinical decision-making. However, it also has the potential to perpetuate or exacerbate discrimination in healthcare by producing outputs on the basis of arbitrary traits such as race, sex, and sexual orientation taken in ways that are not clinically relevant. Such discrimination may arise from any combination of algorithmic bias (bias in coding or the machine learning implementation) or data bias (the use of non-representative training data, including data masking systemic discrimination). If these problems are not mitigated, the benefits of AI in healthcare AI are likely be realized at the expense of marginalized groups. This is a complex problem that requires concerted responses from government as well as private actors...
Bradley Henderson, Colleen M. Flood, and Teresa Scassa write in preprint, hosted on SSRN.

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Canada’s federal election results had barely been counted when the Premiers resumed making their well-worn demands for more federal health care money. Instead of thanking Ottawa for the billions it has already provided for fighting COVID-19, or asking for short-term pandemic-related funding, the ritual chorus seeks ever-increasing amounts of money for decades to come. Granted, the need for more money certainly feels urgent right now. A number of provinces are having difficulty even staffing their hospitals, after almost two years of burnout-inducing working conditions for front-line health care workers. However, the premiers’ multibillion-dollar asks have been for unconditional long-term funding, well beyond the scope of the current crisis. It is entirely reasonable to ask them to explain how the money will be used—especially since spending more on health care does not automatically mean better health outcomes. CHLPE's Michael Wolfson writes.

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Ontario's health care system has been battered by COVID-19, medical staff have been pushed to their limits, and there's a massive backlog of diagnostic and surgical procedures built up due to shutdowns. Has the time come for private health care to help fill the gaps? CHLPE Director Colleen M. Flood appeared in a panel on TVO's The Agenda.

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