
International Symposium on Computational Intelligence (ISCI) 2025 – Ethical AI
September 3 @ 8:00 am - 1:00 pm UTC
Join us for the International Symposium on Computational Intelligence (ISCI) 2025, a premier virtual half-day event dedicated to advancing the field of Ethical AI. This symposium brings together leading researchers, practitioners, and thought leaders to explore cutting-edge developments in trustworthy, explainable, and responsible artificial intelligence. What to Expect – Expert Presentations – 30-45 minute talks from internationally recognized speakers – Interactive Q&A Sessions – 15-minute Q&A following each presentation – Global Perspective – Speakers from India, UK and beyond – Live Streaming – Real-time access via YouTube with archived sessions on IEEE.tv ————————————————————— Talks & Speakers – Toward realizing user-level differential privacy at scale – Dr. Krishna Pillutla, IIT – Madras, India – Towards Logical Foundations for AI Ethics – Dr. Sirisha Rao & T.V. Priya, IIIT – Bangalore, India – Usable and Useful Artificial Intelligence: Explorations in Healthcare – Dr. Ann Blandford, University College London (UCL), UK – Empathic AI for Well-being Support: Challenges, Opportunities and Consequences – Dr. Alladin Ayesh, University of Aberdeen, UK Co-sponsored by: Vishnu S. Pendyala, San Jose State University Speaker(s): Dr. Ann Blandford, Dr. Krishna Pillutla, Dr. Shrisha Rao, Dr. Aladdin Ayesh Agenda: Conference Schedule (PST) 8:00 AM – 8:05 AM Opening Remarks 8:05 AM – 9:05 AM Toward Realizing User-Level Differential Privacy at Scale Dr. Krishna Pillutla, IIT Madras, India 9:05 AM – 10:05 AM Towards Logical Foundations for AI Ethics Dr. Sirisha Rao & T.V. Priya, IIIT Bangalore, India 10:05 AM – 11:05 AM Usable and Useful Artificial Intelligence: Explorations in Healthcare Dr. Ann Blandford, University College London (UCL), UK 11:05 AM – 12:05 PM Empathic AI for Well-being Support: Challenges, Opportunities and Consequences Dr. Aladdin Ayesh, University of Aberdeen, UK Virtual: https://events.vtools.ieee.org/m/495321