On 27th November 2023, the Beijing Internet Court upheld that an AI generated work can be protected by copyright if the work reflects an author’s choice of expression and has originality (see our earlier blog post here). Almost a year later, on 18th October 2024, we now have another decision from the Changshu People’s
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FCA research note – bias in AI
On 11 December 2024, the FCA issued the first in a series of research notes on bias in artificial intelligence (AI).
The note provides a review of available academic and ‘grey’ literature to explore how biases may arise and may be mitigated in supervised machine learning models used to make predictions or assist in decision-making
2024 Technology Privacy and Cybersecurity Summit | November 25 – 28, 2024
Norton Rose Fulbright Canada invites you to its leading annual technology, privacy, and cybersecurity virtual summit. Learn how to leverage AI for a competitive edge while mitigating its inherent risks.
This four-part series is tailored for legal professionals, business leaders, and IT specialists. Equip yourself with the knowledge to address critical legal challenges and ensure
Engaging with the machine: AI and financial stability − speech by Sarah Breeden
On 31 October 2024, Sarah Breeden (Deputy Governor, Financial Stability, Bank of England (BoE)) gave a speech at the HKMA-BIS Joint Conference on Opportunities and Challenges of Emerging Technologies in the Financial Ecosystem. In this speech, Ms Breeden explores the novel features of Generative AI (GenAI), and how we can uphold financial stability whilst harnessing
China’s proposed AI Labelling Regulations: Key points
In response to the rapid development of artificial intelligence (AI) technologies, the Cyberspace Administration of China (the CAC) recently issued two draft regulations for public consultation: Measures for Labelling Artificial Intelligence-Generated or Synthetic Content (the Draft AI Labelling Measures) and Cybersecurity technology—Labelling method for content generated by artificial intelligence (the Draft Labelling Method Standard). The Draft Labelling Method
The UK’s Public Authority Algorithmic and Automated Decision-Making Systems Bill: key takeaways
Lord Clement-Jones has introduced a Public Authority Algorithmic and Automated Decision-Making Systems Private Members’ Bill (Bill) into the House of Lords. Currently at the second reading stage, the Bill addresses increasing reliance on AI and algorithmic systems by public authorities in the UK, and aims to mitigate the potential risks associated with their use. The
Don’t throw the AI baby out with the data leakage bath water: Reading “AI Snake Oil” with a spirit of optimism
The privacy-cyber world seems preoccupied with issues related to the nexus between personal data and AI. Those issues, although important, are dwarfed by a more pressing and fundamental question: can we get AI to do useful things reliably and accurately in the realm of predicting significant human outcomes, such as health, criminal propensity, credit risk,
FCA speech on ten years of innovation and launch of new AI Lab
On 17 October 2024, the Financial Conduct Authority (FCA) published a speech on “Ten years of FCA innovation: impact and opportunity” which was delivered by its chief data, information and intelligence officer, Jessica Rusu, at an FCA Innovation 10th anniversary event.
FCA innovation over the past 10 years
The speech notes that 10 years ago,
New York Department of Financial Services addresses cybersecurity risks from artificial intelligence
On October 16, 2024, the New York Department of Financial Services (“NYDFS” or “DFS”) issued guidance raising awareness about combatting cybersecurity risks arising from artificial intelligence (“AI”) used by DFS licensees, such as insurers and virtual currency businesses. Risks revolve around both threat actors’ use of AI offensively and businesses’ increasing AI reliance. The short
Intellectual property and the digital world
The digital economy is built around speed, simplicity and more efficient ways of doing things. Data security and privacy is expected but is often negotiable as consumers are enticed to trade private information for efficiency or more attractive offers. In workplaces information sharing and collaboration is more fluid than ever before, and creativity is increasingly