Interpretable AI, with Dr. Faiza Khan Khattak

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 Operations
• Using Chain-of-Thought Prompting for Interpretable Recognition of Social Bias
• Dialectic Preference Bias in Large Language Models
• The Impact of Unstated Norms in Bias Analysis of Language Models
• Can 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.

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#WomenInAI #WiAIR #ResponsibleAI #FairnessInAI #AIHealthcare #ExplainableAI #LLMs #AIethics #BiasMitigation #MachineUnlearning #InterpretableAI #AIstartup #AIforGood