AI deployed to accelerate product development, optimise networks
Written By
Senior Associate
UK
As an associate in the Tech Transactions team in our Commercial Group, I advise on a variety of technology contracts with a focus on complex and cutting edge procurement. Artificial Intelligence is a particular interest of mine.
Senior Associate
UK
I am an associate in our Commercial Group, and I advise clients on the global challenges facing the digital and communications sector as well as providing counsel on new technologies and their relationships with the use of data.
Partner
UK
I'm an experienced technology and communications lawyer, advising on complex, strategic technology and communications projects for clients operating in a variety of sectors.
Artificial intelligence is transforming the landscape of the technology and communications sectors. Many of the advancements we have seen have come from or been enabled by technology companies and this in turn has driven massive growth for them. But AI also drives other forms of innovation, from automating routine tasks to enabling advanced data analytics and predictive modelling. Companies leveraging AI systems can accelerate product development and enhance user experiences.
In the communications sector, AI is revolutionising how we connect and interact with each other. We will likely see operators deploying AI tools in order optimize their networks, for dynamic spectrum sharing, fraud prevention and to enhance the customer experience. For example, Internet-based communication services are already beginning to offer AI-based tools to their customers such as sentiment and conversion rate analysis.
However, advances in AI also pose challenges to the communications sector. The increased volumes of data which will be transmitted due to the use of AI systems will mean network operators will need to ensure that the technology stack is ready for AI and other new technologies, to ensure that the required infrastructure and capacity is in place to cope with the demands of AI.
Emerging technologies do not exist in a legal vacuum, and often drive regulatory change; AI is no exception. The EU’s comprehensive and ambitious regulatory framework for AI is based on a risk-based, horizontal, and governance approach. Compliance with the AI Act will be front and centre in the minds of technology business when it comes to the development and deployment of any products which would be regarded as AI systems.
Other jurisdictions are taking a different approach, for example the UK has announced its intention to develop a pro-innovation and trustworthy regulatory framework for AI, which is based on a proportionate, adaptive, and sectoral approach. Any innovative use of technology that relies on personal data or data in users’ devices will need to be mindful of the existing data protection rules and will likely need to conduct a data protection impact assessment.
In the communications sphere, network security will continue to be an area of focus, for example (in the UK) to ensure compliance with the telecommunications security framework introduced by the Telecommunications Security Act 2021. These requirements are set out in the amended Communications Act 2003, the Electronic Communications (Security Measures) Regulations 2022 - which provide specific security measures that public communication providers must follow for and is accompanied by a new Code of Practice which sets out detailed measures that can be taken to ensure compliance with the Act and Regulations.
For further information, please contact Will Bryson, Kimberly Wells and Matthew Buckwell.
This article was published in the special AI edition of our monthly Connected newsletter, to view the full newsletter or to sign-up to receive future newsletters for the latest Regulatory & Public Affairs news and updates, see below:
Connected newsletter July 2024: Special AI edition
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