In recent weeks, generative AI platforms, such as Chat GPT-4, DALL.E 2, and Stable Diffusion, have made headlines for a number of reasons. Many have questioned the impact this technology will have on business, education, and the creative sectors, and the potential benefits it may bring. Others
Continue Reading Art(ificial intelligence) imitates life: IP infringement risks presented by Generative AI
Probably even the chatbot ChatGPT[1] would be “surprised” to see how many new articles, essays, blogposts, personal posts and videos discuss issues around AI, and specifically, generative AI.
In this blogpost we’re not going to try to fully explore the various legal aspects of AI. We want to focus
Continue Reading ChatGPT and competition law: Initial thoughts and questions
Through partnering with a prominent hyperscaler, OpenAI, the research laboratory behind the popular ChatGPT, intends to increase access to its AI models. This approach applies the principle of AI democratisation which is being adopted by participants throughout the space. Adherents advocate for increasing the accessibility and affordability of advanced AI
Continue Reading Hyperscalers’ Democratisation of AI creates new opportunities for the next generation of Startups
We are slowly seeing the emerging trend of organisations considering the use of generative technologies across all areas of business. Collectively known as ‘generative AI’, these technologies (such as the popular Chat-GPT and Dall-E) are capable of taking a prompt from its user and creating entirely new content, such as
Continue Reading Imitating Creators: Prospective governance and mechanisms for identifying AI-generated content
Many of us will by now have played around with Chat-GPT, Dall-E and other generative AI products. We will have seen how powerful and impressive these tools are. We have probably also wondered exactly where this is all heading, what it means for our business, and how quickly things will
Continue Reading The Generation Game: Points to consider when leveraging generative AI in business
“Slow and steady wins the race.”
All of us will have heard a multitude of variations on Aesop’s fable of the tortoise and the hare. The overconfident hare is so sure he can win a race with the tortoise that he races off, and is then so confident of his
Continue Reading Hare-brained scheme: Why the AI tortoises will inevitably lose the race…
The technology sector faces a critical moment as economic signs continue to point to a possible downturn. Yet, despite this, our latest Technology Index findings show the industry has managed to remain optimistic thanks to forecasts of increased revenue and ESG opportunities.
As a firm, we launched this unique report
Continue Reading Tech Index 2022: Pathways to Growth in a Troubled World
On 6 December 2022, the Council of the European Union (“EU Council”) announced that it had adopted a position on its general approach to the development of a harmonised regime for regulating AI in the EU (the proposed EU AI Act (“AI Act”)).
The adoption is
Continue Reading A new approach to regulating AI: EU Council announces adoption of a general approach to the harmonisation of AI regulation
In September 2022, the European Commission adopted a proposal for a directive on liability for damage caused by artificial intelligence, aimed at building trust in AI and encouraging investments across the internal market.
Civil liability and Artificial Intelligence: why specific legislation is needed
According to a recent survey, civil
Continue Reading The AI Liability Directive: EU improves liability protections for those impacted by AI
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
