Kavita Narayanadas Sheikh is a distinguished Data Scientist and AI Ethicist with over a decade of experience in developing and deploying machine learning models responsibly. She specializes in algorithmic fairness, transparency in AI, and the societal impact of artificial intelligence. Kavita is passionate about creating AI systems that are not only technologically advanced but also align with human values and promote equitable outcomes. She has worked with multinational corporations and research institutions to build ethical frameworks for AI development and has contributed significantly to public discourse on AI governance. Her work often involves complex data analysis, model interpretability, and stakeholder engagement to ensure AI solutions are both effective and just.
Kavita Narayanadas Sheikh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-authored a widely recognized guide on ethical considerations in algorithmic design, adopted by several tech companies and academic institutions as a foundational text.
Led a cross-functional team at TechForward Inc. to develop and implement an AI fairness toolkit, reducing bias in key product algorithms by an average of 30%.
Delivered a keynote address on 'The Future of Responsible AI: Balancing Innovation and Accountability' to an international audience of policymakers, researchers, and industry leaders.
Awarded for her pioneering work in developing practical tools for bias detection and mitigation in machine learning systems.
Contributed a peer-reviewed paper on 'Interpretability and Explainability in High-Stakes AI Decision-Making' to a leading academic journal.
The Wharton School - Year 2012
Harvard University - Year 2005
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