Charles is part of teams working on transactions and consulting/advisory for emtech in the UK, EMEA, and the US.
He was invited to be a founding member of the UK Parliament’s Advisory Group on AI in 2016, acting as legal advisor to the group, and has remained a member to the present. He has worked in AI in academic and legal contexts since 2010.
At CMS he is part of the firm’s specialist emerging technologies team. He works on business model and go-to-market strategies in AI; on investment and M&A in the deep tech sectors; on implementation projects to establish compliance with AI regulations and standards; on technical writing and policies; and on AI literacy projects and other institutional training.
His clients include global technology firms and financial institutions; VC and other deep tech investment firms; and governments and regulators. He has recently written the worldwide AI training modules for a global bank.
He has worked on AI since 2010 and is the author of AI Law and Regulation (Edward Elgar) and AI, Machine Learning & Big Data Laws and Regulations (GLI) as well as many academic and press articles on various technical and commercial aspects of AI. He is an expert in international regulatory policy and compliance. Lately, he has been working on regtech and suptech tools for enabling adoption of AI at scale in commercial firms and governments. Charles has also been involved in projects bringing together lawyers and ethicists to advise on and create ethical frameworks and approaches to the use and development of AI technologies.
The integration of artificial intelligence into the field of medicine holds transformative potential, offering innovations in diagnostics, patient care, and treatment outcomes. However, its rapid adoption raises significant ethical and safety concerns. This presentation compares and comments on ethical principles and regulatory frameworks that govern the deployment of AI technologies in healthcare, with a focus on safety, transparency, and accountability. It considers patient autonomy and informed consent, effective oversight, and the enhancement of AI literacy among healthcare providers.