Dr. Leo Celi presented on the societal implications of AI, addressing concerns such as its role in accelerating climate change, reinforcing systemic inequities through data bias, and fostering monopolistic dependencies on large firms. […]
Read More… from Dr. Leo Celi: The ROI of Health AI: We need more roads, not Ferraris
Hortenese Gallios presented on the concept of trustworthiness metrics for AI, using voice AI technologies as a central example. […]
Explore the development of machine learning systems that are not only accurate but also fair, robust, explainable, transparent, inclusive, and beneficial. […]
Read More… from Dr. Kush R. Varshney: TrustworthyMachine Learning
Rachele Hendricks-Sturrup, discussed policy and practice considerations in the trustworthy development and use of AI/ML in health research and care settings. […]
Dr. Michael D. Abràmof discussed the transformative role of autonomous AI in healthcare, focusing on its application in clinical tools, eye exams for diabetes, and the regulatory landscape. […]
Read More… from Dr. Michael Abramoff: Regulatory Considerations: Health Equity, AI, and Bias
Cybil Roehrenbeck discussed the rapidly evolving landscape of AI regulations in clinical settings. […]
Read More… from Cybil Roehrenbeck: Legal and regulatory landscape of healthcare AI technologies
Dr. Gupta discussed causal fairness principles to mitigate bias and promote equity in healthcare using MIMIC 3 data. […]
Dr. Mackey discussed a project funded by the Robert Wood Johnson Foundation in partnership with The Native Biodata Consortium to develop a blockchain-based governance system for managing Indigenous genomic data. […]
Dr. Jiang explored how a groundbreaking discovery was utilized to generate 30 metadata-based features through machine learning for the automatic detection of PHI fields in structured Electronic Health Record (EHR) data. […]
Dr. Salimi offered insights for data management, machine learning, and responsible data science, emphasizing the significance of handling selection bias in algorithmic decision-making. […]
Read More… from Dr. Babak Salimi: Certifying Fair Predictive Models in the Face of Selection Bias