Topic: Artificial intelligence

A Private Members’ Bill, the Artificial Intelligence (Regulation) Bill (the Bill), has been introduced into House of Lords (the UK’s upper House of the UK Parliament) and is currently at the second Parliamentary stage.

On October 30, 2023, after recognizing that Artificial Intelligence (AI) is the most consequential technology of our time and anticipating that it will accelerate more technological change in the next five to ten years than witnessed in the past fifty, President Biden issued an Executive Order directing actions to establish new AI standards.

Artificial intelligence (AI) has the potential to fundamentally change business processes, and also have a significant impact on human well-being.

Professor Peter McBurney specialises in artificial intelligence (AI) and provides AI consultancy services to Norton Rose Fulbright LLP and our clients.

On October 5, the Minister of Innovation, Science and Industry (ISED) wrote a letter to the Standing Committee on Industry and Technology proposing amendments to Artificial Intelligence and Data Act (AIDA), which was introduced as part of Bill C-27 in June 2022. Further information on AIDA can be found in our previous update.

On 26 October, the UK prime minister gave a speech on the AI Safety Summit to be hosted in the UK on 1 and 2 November.

On September 27, the Minister of Innovation, Science and Industry released a voluntary code of conduct specific to generative AI.

The legal industry is no stranger to the winds of change blowing through its traditional practices. Last week, at the renowned Legal Geek conference, it was evident that the industry is standing at a pivotal stage.

As I prepare to attend this year's Legal Geek conference, I find myself eagerly anticipating the discussions surrounding GenAI, a topic that has significantly evolved since last year's event.

The usage and adoption of artificial intelligence (which refer to broadly herein to also include the application of AI to analytics of large data sets and in the context of machine learning (which includes the subsets of ML operations and deep learning)) has increased significantly over the past few years.