We are privileged to welcome Adarsh Srivastava, MBA, PGDISAD, Head of Data & Analytics Quality Assurance at Roche Diagnostics, as our Keynote Speaker.
Artificial intelligence is often framed as a technical system plagued by “bias,” but the roots of bias run much deeper. They emerge not only from skewed datasets or flawed algorithms, but also from political choices about what knowledge counts, who is represented, and whose interests are served. This session explores the intersections of AI bias, politics, and research governance. Drawing on cases from healthcare and beyond, it examines how institutional structures—ethics boards, funding bodies, and regulatory regimes—shape the way bias is recognized, ignored, or reproduced in AI systems. The session will argue that bias is less a computational glitch and more a reflection of entrenched power relations, making it a bioethical issue of urgent importance. Participants will be invited to rethink research governance for the AI era, considering transparency, contextual fairness, and participatory ethics as pillars for more trustworthy and equitable innovation.
Adarsh Srivastava PGDISAD, MBA is a seasoned professional with over 13+ years of expertise in the dynamic field of Data & Analytics. Currently serving as the Head of Data & Analytics Quality Assurance at Roche Diagnostics, he has played a pivotal role in shaping the landscape of data analytics products within the healthcare domain. His leadership has been marked by the successful spearheading of initiatives aimed at developing highly resilient data analytics solutions. Adarsh’s commitment to excellence extends beyond product development, as he has actively contributed to the establishment of a robust infrastructure and the cultivation of competencies in AI Ethics and responsible AI at Roche. Passionate and forward-thinking, Adarsh Srivastava is at the forefront of implementing trustworthy AI systems. His vision and dedication have been instrumental in propelling the organization toward a future where it is fully equipped to harness the potential of AI.
