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Legal policies, regulations and ethics in health care

February 27 @ 11:00 am 12:00 pm

Part of the Ethical and Responsible AI in Medical Systems Seminar Series

Vibhuti Gupta

Speaker:
Vibhuti Gupta, Ph.D.
Assistant professor, computer science and data science

Abstract

AI in health care has made tremendous growth in recent years and has achieved human-level performance in areas like skin cancer classification, diabetic retinopathy detection, chest radiograph diagnosis, and sepsis treatment. However, this expansion has also raised ethical concerns, such as algorithmic and societal biases, security and privacy issues, transparency, and other unintended consequences.

Moreover, the proliferation of generative AI and large language models (such as ChatGPT, DALL-E, etc.) that can generate realistic data like images and texts, data consent, algorithmic transparency, explainability, and responsible use has become more critical than ever. Therefore, the ethical considerations in building AI/ML solutions for health care has become a critical concern among health practitioners, AI/ML researchers, data scientists, administrators, and patients. To address these issues, legal and ethical regulations for the application of AI have been developed.

This talk will briefly describe the AI regulations and policies including the recent executive order from The White house for the safe, secure and trustworthy use of AI, World Health Organization guidelines,  and provide the implications of these policies on the usage of AI in health care and other applications.

About Vibhuti Gupta, Ph.D.

Vibhuti Gupta’s vision is to develop the next generation of adaptive, scalable and resource efficient data analytics techniques that will be applicable on a variety of domains such as interactions in social media networks, tourism marketing, and health care. His discoveries lead to novel computational data driven health care solutions, efficient information retrieval from social media data sources for health care applications, and using mHealth wearable sensor data analytics for early detection of diseases and personalized health care solutions.

Dr. Gupta received his Ph.D. from Texas Tech University in 2019 where he worked with Prof. Rattikorn Hewett and his research focused on developing an adaptive and scalable Big stream data pre-processing approach that leverages AI techniques and is adaptable to different data rates and data types. He also holds a M.Tech in computer science from SRM University and a B.Tech in computer science from Bundelkhand Institute of Engineering and Technology.

This seminar series is made possible through funding from NSF Award #2334391 and RCMI Program in Health Disparities Research at Meharry Medical College, NIH Supplement Award: 3U54MD007586-37S3.