2024 Winter School Online
Keynote Speakers
With over 14 years of pioneering experience in Data, Analytics, and Research, Adarsh Srivastava leads the Data, Analytics & Research Quality Assurance at Roche Diagnostics. Renowned for his visionary leadership, Adarsh has successfully spearheaded the creation of resilient data analytics solutions, revolutionizing the healthcare sector.
A passionate advocate for AI Ethics, Adarsh has been at the forefront of establishing a robust infrastructure and fostering a culture of competency in ethical AI within Roche. He has championed the integration of ethical considerations into AI development, ensuring transparency, fairness, and accountability in AI systems. His efforts have included creating comprehensive guidelines and promoting an organizational culture that prioritizes the responsible use of AI.
Adarsh’s unwavering commitment to implementing trustworthy AI systems has not only propelled the organization towards innovation but also ensured a future-ready stance to fully leverage AI’s transformative potential. His blend of expertise, foresight, and ethical dedication makes him a trailblazer in driving the future of AI in healthcare, setting a benchmark for ethical standards in the industry. Adarsh Srivastava
Ethical Implications of AI in Diagnosis and Treatment
Artificial Intelligence (AI) is transforming the landscape of healthcare, particularly in the realms of diagnosis and treatment. As AI systems become more sophisticated, they offer unprecedented opportunities to enhance diagnostic accuracy, personalize treatment plans, and improve patient outcomes. However, these advancements also bring significant ethical challenges that must be addressed to ensure the responsible deployment of AI in medicine.
The session will share insights on integrating these ethical principles into AI development and deployment. By presenting case studies and practical guidelines, it will illustrate how ethical considerations can be woven into the fabric of AI systems. The goal is to highlight the importance of an ethical framework that not only propels innovation but also builds trust among stakeholders, ensuring that AI’s transformative potential in healthcare is realized responsibly and equitably.
Participants will gain a deeper understanding of the ethical landscape surrounding AI in healthcare and learn strategies to implement trustworthy AI systems that prioritize patient welfare and uphold the highest ethical standards.