‘Transparency framework for regulated GenAI applications’
The application of generative AI on a mass scale is promising. Examples include population research and analysis by intelligent models, large scale financial processes, or patient intake and diagnosis to determine and provide optimal care. David Fearne is Global Head of the Generative AI and Analytics (AIA) practice at Cognizant. He was one of the founders of groundbreaking developments, often within heavily regulated domains.
According to Fearne, GenAI solutions should not be a black box, but be developed in a demonstrably transparent way. “With a standard built-in objective equitability, which prevents disadvantages to specific individuals or groups. Only by proving that an intelligent system is as safe and objective as a human-level benchmark, you can comply with current and future laws and regulations”, he says.
Critical here is a specifically developed framework for transparency and regulation of regulated generative AI applications, with which large-scale and potentially sensitive enterprise AI solutions can be approved quickly. Cognizant has examples of this from the United Arab Emirates, Singapore, United Kingdom and the Benelux within research, retail, pension & taxes, health and more.
Virtual clinician system
Collaboration with a government organization led for example to a breakthrough in the use of Generative AI in remote healthcare. David Fearne and his team developed a virtual clinician system that provides population-scale, equitable entry into the health system and streamlines access to tailored health services based on patient diagnosis. Currently undergoing clinical evaluation, this system is designed to diagnose over 900 conditions.
In 2017, David Fearne was recognized as one of the 50 most influential people in data, winning his category with the ‘How Happy is London?’ project, a technology platform that was one of the world’s largest real-time open-source implementations for large-scale data analytics and AI. Recently he was shortlisted for an AIconics award at the 2024 London AI Summit for his groundbreaking work.
After his keynote presentation, he will lead a highly interactive mini design engagement during the breakout programme of CIODAY2024. Besides some more insights and experiences with the deployment of enterprise GenAI, he will ask participants to apply their challenge or problem in the Cognizant GenAI transparency framework and solution.