Tag archives: artificial intelligence

UK AI White Paper

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 its AI regulation white paper (the ‘White Paper’). Here are the key elements: What AI … Continue reading

Autonomous Vehicles – Canada’s Current Legal Framework: A Primer (Part 1)

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 permit the testing of certain AVs by vehicle manufacturers. As AV technology continues to develop, however, … Continue reading

Canada’s artificial intelligence legislation is here

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: Implement Canada’s first artificial intelligence (AI) legislation, the Artificial Intelligence and Data Act (AIDA). Reform Canadian privacy law, replacing the Personal Information Protection and Electronic Documents Act with … Continue reading

The UK National AI Strategy: Regulation, Data Protection and IPR in the Mix

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 three discrete issues addressed in it (AI regulation, data protection and intellectual property rights) and we … Continue reading

UK Information Commissioner Updates Paper on Big Data, Artificial Intelligence, Machine Learning, and Data Protection

Data Protection Report - Norton Rose FulbrightOn 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 … Continue reading
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