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 blog posts, letters to clients, or internal policies. In a previous article, we examined several points that organisations should consider, such as potential for IP infringement and inadvertent PR issues. The article goes on to consider several steps organisations can take to mitigate these risks throughout the process, such as regular testing and ensuring appropriate safeguards are put in place. As will be clear for those who have already interacted with these technologies, while there is certainly value in implementing them within certain processes, these safeguards are clearly a necessary step to ensure that the AI is behaving accurately and, in the case of written works, in a way that is not misleading.

In January 2022, DLA Piper reported on an announcement of a new initiative, as part of the UK's National AI Strategy, to shape the way organisations and regulators develop technical standards for artificial intelligence ("AI"). The initiative, the AI Standards Hub ("Hub"), was highlighted as a collaborative effort between the Alan Turing Institute, the British Standards Institution, and the National Physical Laboratory, in partnership with the UK Government, to lead the way in developing standards that could be used across all sectors and jurisdictions. On 12 October, in their latest update, the Alan Turing Institute announced that the hard work of the collaborators was finally complete and that the Hub was ready for interaction. While still early in its use, the Hub already contains an array of resources that will allow its users to understand and help shape the role of standards in the development of AI and best practices. The primary goal of the Hub is to advance trustworthy and responsible AI through a focus on standards that can be used as part of governance and innovation tools and mechanisms.

By using the power of Reveal Data's first class neural-net AI, along with the data and know-how available within a global law firm like DLA Piper, the AI has been taught to spot these cartel risks and enable our lawyers to quickly run a review and advise clients of their cartel risks. Specifically, Aiscension has been trained to uncover the following forms of cartel behavior: price fixing; bid rigging; market sharing; collective boycotts and exchanging competitively sensitive information.

On February 19, 2020, the European Commission presented its White Paper on Artificial Intelligence – A European Approach to Excellence and Trust, a much-anticipated policy document setting out concrete measures and proposed regulation with the objective of promoting the development, uptake and use of AI applications, while also addressing the resulting fundamental rights challenges. The document has raised concerns among companies about whether new rules on AI will negatively impact businesses developing or deploying AI solutions across the EU. Feedback on the white paper can be provided until May 19, 2020. The white paper proposes a dual approach. It aims to establish an "ecosystem of excellence" on the one hand, and "an ecosystem of trust" on the other hand.

If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade. Regardless of the answer, the technology will forge ahead.

If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade. Regardless of the answer, the technology will forge ahead.

OPINION -- Artificial intelligence is everywhere. If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade.

The government has awarded grants totalling over £6.4m to 18 legal artificial intelligence (AI) and data analytics projects. The projects span the whole range of legal services, from City law firm DLA Piper and private client specialists Withers to consumer forum Legal Beagles and Islington Citizens Advice Bureau. The biggest grant of £1.53m from the Next Generation Services Industrial Strategy Challenge Fund went to a project focusing on the acquisition of confidential data. The project partners include Withers, Imperial College in London, Oxford University and Genie AI. The second biggest, £1.36m, went to help develop AI software that "detects and interprets emotion and linguistics from voice" to combat insurance fraud through "credibility/vulnerability assessment".

TV series "Humans" shows robots taking over simple human tasks Photo: Channel 4 Over the last decade, the types and definitions of Artificial Intelligence (AI) have ranged across a wide spectrum. A future of smart homes and smart cars, driven by AI, is no longer a distant reality. This future poses questions to businesses; principal among them is how businesses can adapt to AI. The practical impact on companies, and their workforces, is an increasingly pressing issue around the boardroom. The International Federation of Robots (yes, a real thing, not a Star Wars coalition) reported last year that robot sales in 2014 increased by 29% – the biggest increase ever recorded within a year, and this trend is expected to continue.

DLA Piper will use artificial intelligence technology by Kira Systems for due-diligence document review in mergers and acquisitions. Kira's machine-learning software searches texts in contracts, then creates a summary and analysis, according to a press release announcing the deal. Such software is designed to get smarter as it is used. Jonathan Klein, chair of DLA Piper's U.S. mergers and acquisition practice, said in the press release that the technology will make due diligence faster and more efficient, and will mitigate risk throughout the due diligence practice. "We believe that this innovative technology will do for corporate transactional work what e-discovery has done for litigation," he said. DLA Piper already tried the software in its corporate, intellectual property and technology practices.