by Lee Rickwood
As more and more immigration applications are processed by artificial intelligence systems, the technology can predict who will be accepted as a successful applicant and why.
by Lee Rickwood
Among the criteria used to determine successful applicants to Canada’s Smart Cities Challenge, there were no requirements for data protection or a privacy impact assessment.
by Lee Rickwood
Open source software concepts; quality control mechanisms; licensing and regulatory standards; industry peer review mechanisms and even product recall provisions for AI-enabled products and services must be considered.
by Lee Rickwood
A new Canadian tech report says the large-scale collection and sale of user private data has grave implications for our online safety, security and protection.
Leading privacy advocates and technology analysts say Toronto should smarten up: it is at risk of becoming a city of surveillance. They are worried about plans for urban redevelopment along the city’s eastern waterfront, and a new techno-enabled community to…
By Yasmin Ranade
The Deep Learning Summit is returning to Toronto from October 25 – 26, 2018 and will cover the latest advancements in deep learning technology. The first ever AI for Government Summit, another event stream, will provide a unique opportunity to interact with government bodies, policymakers, strategists and directors of innovation to explore the use of machine learning to increase efficiency, reduce costs and meet the high demands of the public sector.
by Lee Rickwood
A new form of urban governance? Smart cities are sophisticated platforms built on the latest big data analysis techniques, sensing and tracking technologies, and other tools for collecting and utilizing unprecedented amounts of activity and usage data.
by Lee Rickwood
Civic decision-makers and members of the wider community are hoping that data can help them solve the charged social, political and technical issues that the city faces.