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Dr. Sagheer Abbas is a Full Professor in the Department of Computer Science at Prince Mohammad Bin Fahd University, KSA. As a senior member of IEEE and Vice Chair of IEEE CIS-Lahore, Elsevier and Stanford University recognize him as a top 2% Scientist. Dr. Abbas earned his PhD in Computer Science in 2016, specializing in Artificial Intelligence and Robot Navigation, and boasts over 10 years of teaching and 8 years of industry experience. His expertise spans machine learning, computational intelligence, intelligent system design, smart cities, federated machine learning, explainable AI, and blockchain technologies. He has successfully supervised more than 24 PhD students across various domains and has published over 180 research articles in high-impact journals. Dr. Abbas has organized three IEEE international conferences in Dubai, reflecting his leadership and organizational acumen. His research efforts have earned funding from HEC Pakistan and local industries, underscoring his dedication to innovation. Dr. Abbas’s contributions to AI and machine learning and his leadership in academia and industry establish him as a prominent scholar in advancing technology and research on both local and global scales.
Abstract: In the recent past, the implementation of artificial intelligence in healthcare decision-making systems has promised to improve patient care and operational efficiency while reducing costs. However, one of the major challenges of implementing black-box AI in healthcare practice is explaining the model’s decision-making process and building trust. Healthcare personnel and patients must adopt and accept AI recommendations as credible advice to be incorporated into their practice. This talk will provide an overview of the interpretable and trust-oriented AI approaches based on fairness and accountability. We will go deeper into methods like Explainable AI or XAI and how it is possible to use them for developing models that give accurate forecasts and explain why they made the decision. Through increased transparency and trust in healthcare’s AI-based decision systems, this talk will demonstrate how the decision science of AI can leverage healthcare to meet patient expectations and observe the highest ethical and clinical standards.
Bahria University, Johar Town, Lahore, Pakistan
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