"Who are you?" is one of the first questions when we meet strangers. It's also the first question a security system asks when anyone tries to access a network. Without verified identity, access is denied. Yet identity management and its twin, access management is still a huge problem. According to the 2022 Verizon
Article content Digital ID and Authentication Council of Canada (DIACC) welcomes Canadian Centre for Cyber Security, City of Toronto, Deloitte, the Province of Quebec, and VISA as members
TORONTO Governments and businesses across Canada are embracing the opportunities presented by digital ID to deliver secure, trusted and privacy-enhancing digital services to enable Canadians to transact efficiently and securely online. As Canada’s community of public and private sector digital ID leaders, the DIACC is pleased to welcome Canadian Centre for Cyber Security, City of Toronto, Deloitte, the Province of Quebec, and VISA as members.
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Event recap | Coordinating data privacy and the public interest GeoTech Cues by the GeoTech Center
Event description
On this episode of the weekly GeoTech Hour, the GeoTech Center is returning to the third episode of the
Data Salon Series, hosted in partnership with Accenture. This episode focuses on data usage and employing data trusts to maximize individual privacy and private sector benefits.
The panelists discuss how governments and the private sector alike are working to develop strategies that emphasize individual privacy more than ever before, as the public continues to express greater interest in protecting their data. However, few institutions have landed upon successful solutions in practice that can protect user privacy while allowing for the high levels of analysis (including machine or AI-enabled learning) they have come to expect. As our digital landscape continues to e
Event recap | Synthetic data, privacy, and the future of trust Event Recap by the GeoTech Center
Event description
Over the last decade, the business of data has disrupted nearly every business category with its promise of technological, industrial, and human advancement. Data continues to captivate our interest as entrepreneurs, executives, and policymakers for its potential to democratize the next wave of productivity with artificial intelligence and machine-to-machine advancements. To advance this wave of productivity, new models of data have been invented: Synthetic Data
As it suggests, synthetic data is completely artificial and offers the promise of both usefulness and privacy. Artificial intelligence that is trained on real-life information often contains a baked-in bias: algorithmic decision-making in fields such as criminal justice and credit scoring shows evidence of rac