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.