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Ethical AI & Responsible Machine Learning with Python: A Hands-On Guide to Building Fair & Transparent Machine Learning Systems: Detecting Bias, Ensuring Fairness, & Implementing Explainable AI
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Ethical AI & Responsible Machine Learning with Python: A Hands-On Guide to Building Fair & Transparent Machine Learning Systems: Detecting Bias, Ensuring Fairness, & Implementing Explainable AI
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Trustworthy AI: Designing for Transparency, Fairness, and Accountability
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Bias and Fairness in AI HR Systems: Ensuring Equity in AI-Driven HR Management
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Data Quality in Generative AI: Ensuring Reliability, Fairness, and Governance for AI-Driven Innovations
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AI Ethics and Bias: Navigating the Path to Fairness and Responsibility
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Artificial Intelligence Governance: Capitalize on AI with Accountability, Transparency, Fairness, and Trust.
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AI Ethics and Bias: Navigating the Path to Fairness and Responsibility
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Bias in AI and Machine Learning: Decoding Algorithmic Fairness in AI Systems: Exploring the Mathematics, Statistics, and Ethics of Fairness in Machine Learning and Artificial Intelligence
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AI Fairness and Beyond: Law, Regulation, and Technology
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LUNA & THE FAIRNESS BOT: A Tech Adventure About What's Fair and What's Not (KIDSTech: AI Series)
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Debiasing AI : Rethinking the Intersection of Innovation and Sustainability
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Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair AI Pipelines
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Leveraging AI in School Libraries : From Basics to Best Practices
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Trustworthy AI : A Business Guide for Navigating Trust and Ethics in AI
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Hidden in White Sight : How AI Empowers and Deepens Systemic Racism
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Practical Fairness : Achieving Fair and Secure Data Models
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Machine Learning Evaluation : Towards Reliable and Responsible AI
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The ChatGPT Revolution : How Conversational AI is Transforming Customer Service and Business Operations
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Critical Theory of AI
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AI and Diversity in a Datafied World of Work : Will the Future of Work be Inclusive?
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AI for Learning
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