Last year, we were delighted to welcome three fantastic panellists to our inaugural school. Explore their profiles below!
Dr Arianna Manzini is a Senior Research Scientist at Google DeepMind, where she has recently focused on ethical and societal considerations around advanced AI assistants and sociotechnical safety evaluation of generative AI systems. Prior to Google DeepMind, Arianna was a Research Associate at the University of Bristol, where she worked on a project on trustworthy autonomous systems. Arianna holds a PhD on ethical concerns around emerging technologies in genomics from the University of Oxford.
Dr Pranab Kalita serves as Head of Clinical Development for Experimental Medicine within the Global Neuroscience & Mental Health team at Boehringer Ingelheim. He holds formal training in Medicine, Psychiatry, Public Health, and Business Management. Following several years in clinical practice, Dr. Kalita transitioned to the pharmaceutical industry, where he has accumulated nearly two decades of experience in clinical development and medical affairs across Psychiatry, Neurology, and Respiratory Medicine. His career spans multiple leading global pharmaceutical organizations, and he has lived and worked in diverse regions including India, Australia, Singapore, Denmark, and the United Kingdom.
Gareth Stokes is both the Global Co-Chair of the Tech Sector and AI Practice at DLA Piper. Both lawyer and technologist, for more than 20 years Gareth has helped clients to make the most of the latest innovations in the whole tech stack. Given the rapid adoption of transformative technologies, it is easy for today’s cutting-edge technology to end up lagging behind the curve within the typical lifespan of most IT deals. By having the insight to anticipate where technology is going and building innovation and embedded change into the DNA of the deals he works on, Gareth protects his clients from falling behind. As Global Co-chair DLA Piper’s market-leading AI Practice, Gareth has advised on the development, training, and deployment of many of the highest profile AI models – and the policy, strategy and ethical considerations related to these systems.