The EU is advancing toward its Digital Decade goal of digital transformation by 2030, which includes at least 75% of EU business using cloud-edge technologies for their activities. Meanwhile, one of the cornerstone regulations is promising to reshape the legal and operational landscape for cloud service providers (CSPs) and their customers.

The

Continue Reading The Digital Decade and its transformative impact on cloud

On 15 April 2025, the Digital Policy Office (DPO) of the Hong Kong Government published the Hong Kong Generative Artificial Intelligence Technical and Application Guideline (Guideline), seeking to encourage stakeholders in Hong Kong to engage in generative AI (GenAI) activities safely and responsibly. The

Continue Reading Hong Kong released GenAI Technical and Application Guideline

Part 1: 5 Essential safeguards for website operators

In the rapidly evolving world of artificial intelligence, data scraping is a hot topic. The copying of online text, images and videos has beneficial use cases (e.g. training AI models for more accurate fraud detection or collecting contact details of business representatives

Continue Reading Navigating the legal intricacies of scraping personal data for AI development

Last week, World Menopause Day spotlighted a critical issue impacting half the population. The UK government estimated menopause costs the UK economy 14 million working days annually due to women taking time off due to some of the debilitating symptoms. These include hot flushes, insomnia, low mood and/or anxiety, problems

Continue Reading Hot Flush: FemTech Solutions for Women’s Health

It’s fair to say that Aotearoa New Zealand’s approach to regulation (and empowerment) of the rapid adoption of AI-enabled solutions has been conspicuous in its absence to date. New Zealand’s Privacy Commissioner is the only regulator to have released substantive guidance for businesses adopting AI-enabled solutions (see our thoughts on

Continue Reading From Innovation to Implementation: Regulating AI in Aotearoa New Zealand

Imagine a modern-day meeting room in a bustling corporate office, where executives and employees alike converse in hushed tones, no notes or minutes are taken, and their words disappear almost as quickly as they are spoken. Picture the scene: a CEO dispatches a critical strategy to her team, a manager

Continue Reading Gone in a flash: unravelling the mystery of ephemeral messaging

After years of intense negotiation, EU stakeholders have finally reached political agreement on the long-awaited EU Artificial Intelligence Act (“EU AI Act“), which was first published by the European Commission (“EC“) on 21 April 2021. Following the final trilogues, the Council of the EU released the

Continue Reading Fundamental Rights Impact Assessments under the EU AI Act: Who, what and how?

On 29 March 2023, the UK Government (“Government”) published its long-awaited white paper (“Paper”), setting out the Government’s proposals to govern and regulate artificial Intelligence (“AI”). Headed “A Pro-Innovation Approach”, the Paper recognises the importance of building a framework that builds trust

Continue Reading One small step for machine: UK Information Commissioner publishes response to new AI White Paper

The TV turns on, without prompt, and switches to the news. The company you are working for has decided to implement a new AI system, rendering your role and the roles of many of your colleagues redundant. You ask your virtual assistant to bring up your social media and attempt

Continue Reading Beyond Binary: Revisiting the Interplay of Artificial Intelligence, Human Rights, and the Rule of Law

Synthetic data is a subject (at least for the uninitiated) encircled in a layer of scepticism and uncertainty. While synthetic data has existed for some time, the manner in which it is being utilised has evolved substantially. As with all novel implementations of technology, there are always teething problems and

Continue Reading In defence of synthetic data: how synthetic data can be used as a privacy-enhancing technique during the early stages of an AI system’s lifecycle