1. AI-RMF: A Practical Guide for NIST AI Risk Management Framework
Authored by Bobby K. Jenkins, “AI-RMF: A Practical Guide for NIST AI Risk Management Framework” is set to be released on May 24, 2024. This book serves as an essential resource for navigating the complexities of artificial intelligence risk management, specifically aligning with the NIST framework. It highlights best practices and methodologies that organizations can leverage to ensure responsible AI deployment. Jenkins meticulously covers a variety of case studies, which make the concepts more tangible. This book is a must-have for professionals aiming to fortify their understanding of AI risk management.
2. Machine Learning Basics: AI Tools and Frameworks
“Machine Learning Basics” by Precious Anusiem, scheduled for publication on October 17, 2024, is designed to introduce readers to the landscape of AI tools and frameworks. With clarity and examples, Anusiem breaks down complex concepts into easily understandable segments, making it perfect for beginners. This book provides a comprehensive overview of essential ML frameworks, preparing readers for advanced studies. It is a cornerstone book for those looking to build a solid foundation in machine learning technology.
3. Frontend Frameworks
In “Frontend Frameworks”, authors Alisa Turing and her AI collaborators delve into the world of advanced web development. Released on January 13, 2025, this book simplifies the essentials of various frontend frameworks, including React, Vue, and Angular. Perfect for developers who want to enhance their skills and stay ahead of the curve, the insights provided in this book are not just theoretical but actionable. Turing’s engaging writing style makes the learning experience enjoyable.
4. Artificial Intelligence Risk Management Framework: NIST AI 100-1
This publication from the National Institute of Standards and Technology offers a crucial insight into AI risk management as of January 2023. Scheduled for release on December 16, 2023, it is an authoritative guide that any organization working with AI should have. The framework empowers readjustment of strategies in light of new findings, making it highly relevant in an ever-evolving technological landscape. Those interested in regulatory compliance and ethical AI will find this a significant asset.
5. AEIOU Ethos: A Framework for Responsible AI
“AEIOU Ethos” by Joni Gutierrez, to be released on January 31, 2025, introduces a holistic approach to responsible AI implementation. Providing various frameworks to ensure ethical usage, Gutierrez highlights how organizations can proactively embrace ethical principles in their AI-driven projects. This book is a vital resource for organizations looking to foster transparency and equitable outcomes through AI systems. With real-world applications and insightful case studies, it’s an engaging read for both newcomers and seasoned professionals alike.
6. AI Ethics: Status of the Present, Ethical Dilemmas, and Frameworks
Debbie Sue Jancis’s “AI Ethics”, set to release on September 30, 2024, is an exploration of the ethical dimensions in the implementation of AI. The book navigates through contemporary ethical dilemmas, providing frameworks to handle them effectively. With its comprehensive analysis and practical frameworks, it helps professionals navigate the ethical quagmires they may face in AI-related projects. This is a must-read for decision-makers and practitioners who wish to align their AI tools with ethical standards.
7. The AI-Driven Leader: Harnessing AI to Make Faster, Smarter Decisions
Geoff Woods presents a transformative guide for leaders in “The AI-Driven Leader”, releasing on September 16, 2024. This book emphasizes how AI can serve as a decision-making tool to enhance leadership effectiveness. Woods provides actionable insights from his extensive research and practical implementations, making it invaluable for anyone in a leadership position. Leaders will learn to adapt AI to their strategies, leading to smarter and faster decisions that yield quantifiable results.
8. AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning
“AI for Data Science” co-authored by Zacharias Voulgaris and Yunus Emrah Bulut, sheds light on the intricate relationship between AI and data science. Released in 2018, it is still relevant for anyone delving into deep learning and optimization strategies. The authors present frameworks that facilitate practical applications, ultimately enhancing the reader’s understanding of AI’s role in data-driven decision-making. This book is crucial for aspiring data scientists and tech enthusiasts looking to expand their AI knowledge base.
9. Advanced ChatGPT Frameworks for Nutritionists
Targeting nutritionists, Leonardo Caldeira’s “Advanced ChatGPT Frameworks for Nutritionists” scheduled for release on January 15, 2025, discusses AI frameworks specifically tailored to nutrition. This book highlights how AI tools can optimize nutritional systems, making it an essential guide for experts in the health and nutrition sector. It provides innovative insights and practical frameworks, ensuring readers are equipped to enhance their professional practices through AI technology.
10. AI for People and Business: A Framework for Better Human Experiences
Alex Castrounis’s “AI for People and Business” focuses on enhancing human experiences through AI. Released in July 2019, it remains a relevant resource for business professionals. The book discusses strategies for deploying AI to achieve business success, making it a guide for aligning technology with human-centered design. This approach is beneficial for business leaders who are determined to embrace AI for better operational outcomes.
