Here's the refined bibliography with the references corrected for proper formatting and updated information:

AI Novice

What is AI$?$

Artificial Intelligence: A Modern Approach $(4$th Edition$)$ by Stuart Russell and Peter Norvig $(2020)$: This is the latest edition of the classic textbook, offering an updated and comprehensive overview of AI concepts and algorithms.

Life $3\mathrm{.}0$: Being Human in the Age of Artificial Intelligence by Max Tegmark $(2017)$: This book remains a relevant and accessible introduction to the broader societal implications of AI$.$

What are some examples of AI applications?

The Hundred$-$Page Machine Learning Book by Andriy Burkov $(2019)$: This concise book provides a quick overview of various machine learning techniques and their applications, suitable for beginners.

AI User

How does AI work?

Machine Learning For Absolute Beginners: A Plain English Introduction $(3$rd Edition$)$ by Oliver Theobald $(2021)$: This updated edition provides a clear and simple explanation of machine learning concepts without requiring coding experience.

The Master Algorithm by Pedro Domingos $(2015)$: This book remains relevant for understanding the different approaches to machine learning and the search for a unified theory of AI$.$

What are the different types of AI$?$

Artificial Intelligence: A Modern Approach $(4$th Edition$)$ by Stuart Russell and Peter Norvig $(2020)$: The latest edition of this textbook covers the different types of AI$,$ including recent advancements.

AI Enthusiast

What are the ethical implications of AI$?$

Weapons of Math Destruction by Cathy O'Neil $(2016)$: This book remains a critical examination of the potential harm caused by algorithms and the need for algorithmic accountability.

The Ethics of Artificial Intelligence and Robotics $($The Stanford Encyclopedia of Philosophy$)$: This online resource provides a comprehensive overview of the philosophical and ethical issues surrounding AI$.$

How is AI being used in your industry?

Industry$-$specific reports and articles: Seek out the latest research papers, reports, and news articles focused on AI applications within your specific field.

AI Practitioner

How can AI be used to solve problems?

Building Machine Learning Powered Applications by Emmanuel Ameisen $(2020)$: This book is updated with modern tools and techniques for applying machine learning to real$-$world problems.

Designing Machine Learning Systems: An Iterative Process for Production$-$Ready Applications by Chip Huyen $(2022)$: This book provides a comprehensive guide to designing and implementing machine learning systems, from ideation to deployment.

What are the limitations of AI$?$

The Alignment Problem: Machine Learning and Human Values by Brian Christian $(2020)$: This book delves into the challenges of aligning AI systems with human values and ensuring their beneficial impact.

AI Expert

What are the latest advancements in AI$?$

AI Index Report $2023$ by Stanford University: This annual report offers the most up$-$to$-$date data on the progress and impact of AI across various dimensions.

DistilBERT Research Paper by Jacob Devlin et al$.(2019)$: This paper presents a state$-$of$-$the$-$art language model, showcasing advancements in natural language processing.

What are the challenges in developing and deploying AI systems?

Human$-$Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell $(2019)$: This book remains highly relevant in discussing the long$-$term challenges of ensuring safe and beneficial AI$.$ organise this bibliography and give doi of each with ordering