How can we build AI systems that are fair, explainable, and truly responsible? In this episode of the #WiAIR podcast, we sit down with Dr. Faiza Khan Khattak, the CTO of an innovative AI startup, with a rich background in both academia and industry. From fairness in machine learning to the realities of ML deployment in healthcare, this conversation is packed with insights, real-world challenges, and powerful reflections.REFERENCES:MLHOps: Machine Learning Health OperationsUsing Chain-of-Thought Prompting for Interpretable Recognition of Social BiasDialectic Preference Bias in Large Language ModelsThe Impact of Unstated Norms in Bias Analysis of Language ModelsCan Machine Unlearning Reduce Social Bias in Language Models?BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models👉 Whether you're an AI researcher, a developer working on LLMs, or someone passionate about Responsible AI, this episode is for you.📌 Subscribe to hear more inspiring stories and cutting-edge ideas from women leading the future of AI.WiAIR website.Follow us at:♾️ LinkedIn♾️ Bluesky♾️ X (Twitter)#WomenInAI #WiAIR #ResponsibleAI #FairnessInAI #AIHealthcare #ExplainableAI #LLMs #AIethics #BiasMitigation #MachineUnlearning #InterpretableAI #AIstartup #AIforGood

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