Stephenson Harwood AI podcast series

How does competition law apply to machine intelligence? This podcast explores how AI is reshaping markets, challenging regulators and redefining fair competition in the digital age.

In this episode, we focus on the accuracy requirements under the EU AI Act for high-risk AI systems. Our discussion considers what "accuracy" means in the context of AI models, and different ways of thinking about how a model can be accurate or inaccurate in its outputs, as well as looking at different approaches that the Commission might take, in upcoming guidance, to specifying how the accuracy of AI models is to be measured. We also look at how the requirement for high-risk AI models to be sufficiently accurate is likely to play out in practice – examining the different obligations falling on providers and deployers of high-risk AI systems and what organisations are likely to need to do to meet these obligations.

In this episode, we turn our attention to the transparency obligations imposed on providers and deployers of limited and minimal risk AI systems under the EU AI Act. While these systems may not pose the same level of concern as high-risk AI, they are still subject to important requirements (particularly around informing users when they are interacting with AI, ensuring compliance in AI generated decision making around health, safety or basic rights). Our episode considers the practical implications for businesses developing or deploying AI in the EU.

In this episode, we examine high-risk AI systems under the EU AI Act and the specific exceptions that apply. We'll discuss the criteria defining high-risk categories, the compliance obligations for these systems, and the safeguards businesses must adopt. We also explore scenarios where certain high-risk requirements may not apply, clarifying how exceptions function within the Act, and detailing the different obligations for different roles in the AI supply chain. Join us to understand how businesses can approach AI risk thoughtfully and remain compliant with evolving regulations.

In this episode, we explore how artificial intelligence can generate litigation, in particular, in the field of data protection and cybersecurity. We discuss the use of personal data in training and deploying AI models, litigation arising from the alleged improper use of AI, cybersecurity threats and AI models, and AI as a litigation tool.

In this episode, we focus on the risk management requirements for high-risk AI systems under the EU AI Act. Our discussion highlights practical approaches in identifying, assessing, and mitigating AI-related risks while emphasising transparency, accountability, and compliance. We also explore how organisations can align their risk management frameworks with regulatory expectations, and the role of documentation, monitoring, and governance in ensuring the safe and lawful deployment of high-risk AI.

In this episode, we explore how AI is reshaping the job market, with certain roles disappearing and new ones emerging. We discuss the evolving skill sets required and the risks of bias and discrimination in AI-driven recruitment. Emphasising the importance of compliance, we highlight the need for diverse data sets and responsible AI integration, ensuring organisations mitigate legal risks while promoting fairness and transparency in employment practices.

Bobbie Bickerton and Mark Lewis, of Stephenson Harwood's commercial, technology and data team, discuss the impact of AI, in particular AI compute and data centres, on the environment and sustainability. They consider what the AI Act says about the environment and sustainability, and how effective it is likely to be in addressing these issues. They briefly raise the wider ongoing pressures of AI development on the environment at geopolitical, strategic, operational, energy resources, ethical investment, and procurement levels, and ask if AI can ultimately be used a tool for good in this context.

Head of innovation, Paul Orchard, and Bobbie Bickerton an associate in the technology and data team, discuss exactly what AI is, what all those acronyms mean, and if AI will result in the end of the world. 

In this episode, we explore the obligations for providers of general-purpose AI models under the EU AI Act. We examine the definition of general-purpose AI, the systemic risks associated with these models, and the key obligations for providers, such as technical documentation, compliance with copyright laws, and cooperation with the AI Office. We also discuss some practical tips on ensuring compliance in this regard and the potential penalties for non-compliance. For further insights, see our article: EU: Obligations on providers of GPAI models under the EU AI Act 

In this episode of the Stephenson Harwood AI Series, we provide an overview of the enforcement regime under the EU AI Act, covering the roles and powers of the regulators, and the fines. We discuss the centralised and decentralised approach to enforcement taken by the EU Commission and issues around consistency. For further insights, see our article:​The EU AI Act: enforcement overview.

In this episode, we provide an overview of key legal issues when contracting for AI systems, including the procurement approach and contract structure, managing data and intellectual property, and ensuring robust security measures are in place. We also discuss performance standards, SLAs, compliance with AI regulations, and the importance of a well-defined exit strategy to avoid vendor lock-in. 

In this episode, we delve into the role of authorised representatives under the EU AI Act. We discuss the concept and role of an authorised representative, the extraterritorial reach of their obligations, their integration into business practices, and their compliance responsibilities. For further insights, see our article: The Role of the Authorised Representative under the EU AI Act

In this episode, we explore the different roles and responsibilities of participants in the AI Value Chain under the EU AI Act. Our discussion covers: the key roles defined by the AI Act, including providers, deployers, importers, and distributors; the specific obligations and responsibilities imposed on importers and distributors of high-risk AI systems; as well as how the AI Act addresses changes in roles and the implications for contractual arrangements and compliance. 

In this episode of the Stephenson Harwood AI Series, we explore the dark side of artificial intelligence—AI systems that are banned under the EU AI Act for posing an "unacceptable risk." These systems exploit human vulnerabilities, manipulate behaviour, or exhibit “creepy” characteristics, such as intrusive biometric surveillance or social scoring. We'll also examine the reasoning behind these bans, what this means for developers, and the potential legal and ethical implications for businesses operating in the EU.

In this episode of the Stephenson Harwood AI Series, we delve into the concept of AI literacy under the EU AI Act and its growing importance in today's digital world. We discuss what AI literacy means, what the requirement means under the AI Act, and how organisations should approach the requirement. Whether you're new to AI or looking to enhance your knowledge, this episode provides valuable insights into how AI literacy can help organisations navigate the challenges and opportunities posed by the rapidly evolving tech landscape.

In this episode of the Stephenson Harwood AI Series, we provide a comprehensive overview of the EU AI Act. Join us as we break down the key components of this ground-breaking regulation. We'll explore: Who: The stakeholders affected by the Act, including from deployers to providers. What: The core provisions and requirements of the Act, detailing what it aims to achieve and the obligations it imposes. When: The timeline for implementation and key milestones you need to be aware of.