Norton Rose Fulbright Canada invites you to our annual technology, privacy and cybersecurity virtual summit. Navigating the evolving world of technology is not easy for companies today. From AI to effective company records management, privacy considerations, and cybersecurity breaches, there’s
Deals involving AI bring about specific and unique issues for consideration during the due diligence process. Understanding the specific challenges created by AI is important for companies to ensure that the AI technology holds genuine value and would not raise
On 11 May 2023, members of the European Parliament passed their compromise text of the AI Act (the AI Act) at the committee stage, taking this law a step closer to being finalised.
The compromise text (the Parliament
At last, UK Government publishes its White Paper on AI – “A pro-innovation approach to AI regulation” – an opportune start, but as expected, a framework with detail to follow…
The Department for Science, Innovation and Technology, has finally published
In recent years, autonomous vehicle (AV) technology has undergone rapid development and it is predicted that AVs may soon be in a state to displace human driving altogether. In Ontario, the Automated Vehicle Pilot Program is currently in place to
On 16 June 2022 the Canadian federal government introduced Bill C-27, also known as the Digital Charter Implementation Act 2022. If passed, this package of laws will:
The UK Government has published its National AI Strategy.
Click here to read more about what the National AI Strategy says about AI regulation, and its implications for data protection in the UK. In this detailed blog we examine
On 1 March 2017, the UK Information Commissioner’s Office (ICO) published a paper on big data, artificial intelligence, machine learning and data protection (replacing its early paper published in 2014). Although the paper is described as a “discussion paper”, it makes a number of recommendations that those involved in big data projects would be well advised to incorporate into their projects, and it firmly rejects suggestions that either the existing data protection framework or the GDPR cannot be applied in this context.
The paper works through the implications of big data against the core data protection principles; it then discusses compliance tools that can be used to meet those implications (including a useful analysis of how its current Privacy Impact Assessment Code of Practice is still fit for purpose under the GDPR and for big data projects). It concludes with six key recommendations.