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.