In part one of this insight series, Dr. Paolo Balboni, Noriswadi Ismail, Davide Baldini, and Kate Francis, of ICT Legal Consulting, delved into the growing influence of artificial intelligence (AI) in areas such as recruitment, talent management, and cybersecurity. In part two, they outlined potential concerns that may arise from the use of AI in the provision of health services. In part three, they explore the imperative of addressing bias, siloed governance, and data breach risks in healthcare, emphasizing the critical need for comprehensive mitigation strategies and interdisciplinary collaboration to ensure AI's responsible integration into healthcare systems.

In part one of this Insight article, Daniel Necz, Associate from Eversheds Sutherland, highlighted key considerations and regulatory frameworks essential to navigating the landscape of generative artificial intelligence (AI) systems. In part two, Daniel explores automated decision-making and data security in AI employment practices, offering insights on transparency, bias mitigation, and regulatory compliance for organizations.

The recent conclusion of negotiations with the EU has brought forth the final version of the Artificial Intelligence Act (AI Act), representing an important milestone in shaping artificial intelligence (AI) governance. Now that the AI Act is upon us, it is, now more than ever, important for organizations to review their AI and machine learning (ML) tools and assess whether they can be used in a responsible and trustworthy way. Organizations should assess whether AI/ML tools are transparent, explainable, fair, non-discriminatory, non-biased, meaningful, and secure. It is important to assess these topics in a timely manner.  

In part one of this AI series, Danique Knibbeler and Sarah Zadeh, from NautaDutilh N.V., analyzed the interplay between the AI Act and the General Data Protection Regulation (GDPR). Part two delves into the implementation of these criteria during the design of the AI/ML tool and what kind of default settings can be used, to safeguard the trustworthy use of the AI/ML tool. More specifically, they will analyze whether Privacy by Design and by Default can help to implement these settings in the right way. It must be noted that the concept of Privacy by Design is not a recent development; invented by Dr. Ann Cavoukian in the 1990s, it aimed to integrate privacy-enhancing features into the design and production of technology from the very start. This proactive approach would ensure that the technology made available to consumers was equipped with inherently robust privacy settings by either default or design.  

In this Insight article, Sarah Cameron and Krish Khanna, from Pinsent Masons LLP, delve into the intricacies of global artificial intelligence (AI) regulation, examining diverse national approaches and their implications for businesses, standards, and international collaboration.