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AI-as-a-Service – Key Issues
Artificial Intelligence-as-a-Service (AIaaS), in the same vein as Software-as-a-Service and Infrastructure-as-a-Service, refers to cloud-based tools that allow businesses to gain access to an AI model hosted by a third party provider.
Read moreProcuring AI – Commercial Considerations Checklist
Many companies will no doubt be considering using AI within their business to take advantage of the massive opportunities for increased productivity and cost efficiencies promised.
Read moreAI and Privacy – 10 Questions to Ask
We set out in this section 10 key questions to ask yourself at the outset when developing or deploying AI solutions in your business.
Read moreGenerative AI – Addressing Copyright
When it comes to the interaction of AI and IP rights, bar a flurry of activity surrounding the inevitable outcome by the courts in the Thaler, Dabus case (see here) and the Court of Appeal's ruling on the potential for exclusion from patentability of artificial neural networks in the Emotional Perception case, most attention has been focused on copyright issues. There are three main potentially thorny issues and all have been extensively covered by the mainstream media.
Read morePart 6 – Practical Considerations
AI focussed actors and providers have been focussing on their forthcoming AI obligations and on governance for some time, but it is now prudent for the majority of organisations to assess how their use of AI will come within the scope of regulation in key territories and become familiar with each regime (and devise a means to keep up with the anticipated fast moving changes). Planning for the costs of compliance and for AI governance including systems and procedures for data retention and record keeping should also be part of current business strategy together with building expertise on AI internally and identifying trusted advisors from the "noise" of what is being offered externally.
Read morePart 5 – AI Regulation Globally
On 30 October 2023 the G7 published its international guiding principles on AI, in addition to a voluntary code of conduct for AI developers. The G7 principles are a non-exhaustive list of guiding principles aimed at promoting safe, secure and trustworthy AI and are intended to build on the OECD's AI Principles, adopted back in May 2019.
Read morePart 3 - AI regulation in the US
Back in October 2022, the White House published federal guidance – a Blueprint for an AI Bill of Rights identifying five principles aiming to guide the design, use, and deployment of automated systems. It was designed to operate as a roadmap to protect the public from AI harms and was followed in October 2023 by the US President's Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. The Executive Order sets out eight "guiding principles and priorities", detailing how those principles and priorities should be put into effect, and reporting requirements
Read morePart 2 - AI regulation in the EU
The EU AI Act, the main elements of which are covered in our previous article, entered into force on 1 August 2024. Most provisions apply from August 2026 but some apply earlier, or later.
Read morePart 1 - UK AI regulation
There has been consistent messaging from the UK Conservative-led government that the UK has decided to adopt a light touch approach to regulating AI. This was evident in the AI white paper published in March 2023 which outlined a principles based framework (see ['The Ethics of AI – the Digital Dilemma'] for more information about the principles themselves and see here for additional coverage of the AI white paper). The UK government held a consultation on the AI white paper in 2023 and published a response on 6 February 2024 that adds slightly more flesh to the bones of the UK framework.
Read moreRegulation of AI - raising the trillion dollar bAIby - introduction
As with any new technology, existing data protection and privacy, intellectual property, competition, product liability, data security and consumer laws apply to its application in each jurisdiction. This has thrown up a number of important and newsworthy issues and considerations for AI developers and providers, legislators, consumers and rights holders. There are also several sets of high profile legal proceedings both decided and ongoing in several jurisdictions. These issues and legal proceedings are discussed in other sections of this AI Guide.
Read morePart 4 – AI Regulation in Asia
This is Part 4 of 'Regulation of AI – raising the trillion dollar bAIby'
Read moreThe Role of AI in Disputes
While lawyers have had various forms of AI available to them for years, it is generative AI and the development of large language models (LLMs) which is likely to represent a fundamental shift for dispute resolution. This technology now offers language capabilities that have never been seen before, and is likely to transform the way lawyers conduct proceedings.
Read moreThe Ethics of AI - The Digital Dilemma
This is Part 6 of 'Regulation of AI – raising the trillion dollar bAIby'
Read moreWhat is AI and why is it topical?
Whilst there is no universal definition of what constitutes artificial intelligence, at its core, AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. This encompasses the ability to reason, learn from experience, understand complex concepts, interact with their environment and look to solve problems.
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