Anyone interested in the history and future of AI should start with this accessible, informative, and comprehensive audiobook by an Oxford professor and AI expert with over 25 years of research experience. Mike Wooldridge takes listeners on a fascinating journey from the beginnings of artificial intelligence into a robust discussion of the complex questions and challenges the field faces today. He highlights some recent tech developments that are changing how people interact with AI in everyday life (such as automated translation) and philosophizes about what the future might look like. Wooldridge’s style is assured and authoritative, and his passion and curiosity make this a fantastic introduction to the subject.

Computer scientist Melanie Mitchell offers a clearsighted analysis of AI today in this vivid, thoroughly researched, and accessible audiobook. Mitchell dives into some of the biggest questions surrounding AI, including what it can really do, what its limitations are, how it fails, and how like (or unlike) humans artificial intelligence models truly are. She expertly teases apart the AI hype and media coverage from actual developments in the field, explaining recent achievements and setbacks in easily understandable terms.

What will the world look like in 20 years? How much will AI have changed by then? How deeply will it have become integrated into the lives of ordinary people? And what new technologies lie ahead that we have not yet imagined? These are just a few of the questions that AI 2041 attempts to answer. Tech expert Kai-Fu Lee is the former head of Google China, and Chen Qiufan is a sci-fi novelist. In this creative, thoughtful listen, they join forces to ponder and probe the terrifying, life-changing, visionary, and often contradictory possibilities of a future defined by artificial intelligence.

In the first major AI treatise of the ChatGPT era coauthored by a titan of the industry, DeepMind cofounder Mustafa Suleyman and tech writer and innovator Michael Bhaskar timed The Coming Wave perfectly. Billed as a “fascinating, well-written, and important book” by Yuval Noah Harari and “an excellent guide for navigating unprecedented times” by Bill Gates, The Coming Wave is a zeitgeisty and essential primer that will put you in the company of some of humanity's deepest thinkers looking to The Coming Wave to understand “the containment problem” as the defining challenge of our age.

Like his breakout nonfiction novel When We Cease to Understand the World, Benjamín Labatut’s latest explores themes of scientific genius and destruction but with a clear focus on artificial intelligence. A fascinating mix of fiction and history, The MANIAC centers on Hungarian polymath and AI pioneer John von Neumann, with a thrilling final section that depicts the historic Go matches between Lee Sedol and AI competitor AlphaGo. Labatut’s spellbinding prose contains many allusions to weaving (the loom was an obsession of von Neumann’s), including this chilling gem to ponder: “Technology, after all, is a human excretion, and should not be considered as something Other. It is part of us, just like the web is part of the spider.”

Questions of ethics and bias are central to the AI project. How do we build values and morals into machines while also avoiding embedding them with human flaws in judgment and prejudices? Author and human rights attorney Flynn Coleman brings her unique perspective to these urgent questions. She argues that while AI has amazing potential to change our lives for the better, scientists and technologists must focus on instilling ethics into all forms of AI, as well as implementing AI-related policies and laws that forefront justice.

In this compelling and important Audible Original, roboticist Dr. Ayanna Howard clearly lays out the problems of bias when it comes to AI design. She examines how the white male-dominated tech world often produces AI that reflects the ingrained prejudices of its creators, leading to state-of-the-art technology preprogramed with racism, sexism, and other bigoted worldviews. Drawing on years of research, as well as her own experiences as a Black woman working in tech, she lays out the many ways such biases harm all of us. This is a deeply necessary, eye-opening listen.

Film director Werner Herzog is a brilliant choice to read this pioneering collection of AI-generated poetry. The concept of an artificial intelligence waxing poetic on human cruelty and its own inevitable world domination may sound like science fiction, but everything about I Am Code is real. (Sometimes) edited by Brent Katz, Josh Morgenthou, and Simon Rich, code-davinci-002’s poems are brought to life by Herzog’s steely yet yearning delivery. Each composition seems to jab at humanity’s psychic wounds: mortality, the search for meaning, and an incurable desire for connection—even with code. (Note: This copy was entirely written by a human without any support from generative AI.)

The adoption of AI dominated headlines this year, and Audible’s business editor recommends this title as her favorite for understanding its impact. As she says, “Facial recognition technology, once merely a sci-fi premise, is now being used in everything from law enforcement to check-in lines at the airport. In Your Face Belongs to Us, New York Times reporter Kashmir Hill explores the behind-the-scenes world of one Australian tech start-up called Clearview AI that pioneered facial recognition technology. I could not stop listening to Hill's masterful retelling of this critical story.”

The inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, has put the core questions of existence—identity, knowledge, the very nature and purpose of life itself—under urgent new scrutiny. Meghan O'Gieblyn tackles this challenge with philosophical rigor, intellectual reach, refreshing originality, and an ironic sense of contradiction. She draws deeply and sometimes humorously from her own personal experience as a formerly religious believer still haunted by questions of faith, and she serves as the best possible guide to navigating the territory we are all entering.

Often, the approach to utilizing AI can skew in one of two directions: staunch refusal to engage with the technology or unfettered overuse. In Co-Intelligence, Wharton professor Ethan Mollick poses a more moderate approach to artificial intelligence, instead arguing for coexistence with machine-learning models. Mollick, who narrates his thought-provoking book in an accessible manner akin to an engaging college lecture, remains optimistic about the practical uses of AI for expanding and reinforcing work done by human beings. He emphasizes the need for approaching these resources not merely as a tool or crutch, but as a real-time collaborator capable of bolstering our own creativity and efficiency.