AI on the Beach the COVID-19 Pandemic Is Not Over and the Future Is Uncertain, but There Has Lately Been a Semblance of What Life Was Like Before

editorial AI on the beach The COVID-19 pandemic is not over and the future is uncertain, but there has lately been a semblance of what life was like before. As thoughts turn to the possibility of a summer holiday, we ofer suggestions for books and podcasts on AI to refresh the mind.

uring the pandemic, social media at Berkeley) addresses ‘child-inspired AI’, and AI technology have only grown that is, the role of studying how children Din importance. An excellent book learn in building AI systems, emphasizing that takes a look at the rise of the companies imitation, abstract causal models, and active behind these technologies is Genius Makers learning via exploration. Matthew Botvinick by Cade Metz1. Metz, a New York Times (DeepMind) describes the interrelations journalist, interviewed key players in the between neuroscience and psychology, development of modern machine learning including how much we understand about and its deployment by tech companies. With the brain, and how that knowledge might an insider’s sources and a journalist’s knack relate to the design of AI. for storytelling, he describes the people, For another big-picture take on machine ideas and history of “The Mavericks Who intelligence, listen to Melanie Mitchell Brought AI to Google, Facebook, and the (Sante Fe Institute) who thinks about the World” (subtitle). We recommend the book interactions between complexity and AI. for readers who want to understand the Pamela McCorduck, author of Machines main ideas behind the latest AI technologies, Who Think (first published in 1979; second the personalities of prominent people, and edition in 20044) tells fascinating stories important events in the field. Credit: Anna Berkut/Alamy Stock Photo. about the early and middle decades of AI. For a deeper dive into AI topics, and a On the topic of robotics, Anca Dragan more panoramic view of the field, the reader (University of California at Berkeley) may consider the fourth edition of Stuart the most of personality, dialogue and engages in a lively discussion about Russell and Peter Norvig’s celebrated text, improvisation, and are led by a personable human–robot interaction, including her Artificial Intelligence: A Modern Approach2. host who serves as an informed interviewer. favourite robot (and why), self-driving cars, A warning: the hardback is a hefty 1,115 The podcast phenomenon is part of the and reward functions in robotics. Missy pages, perhaps useful for anchoring a beach democratization of the Internet, in which Cummings (Duke University) describes her tent; otherwise, the Kindle or electronic anyone can have a platform. It can be hard experience as a US Air Force fighter pilot, versions may be preferred. About 25% of to find quality material among the deluge asks whether the US military should use AI the material in the latest edition is new, of information, but good programmes exist, weapons, and advocates for robots to be built and the remaining 75% has been rewritten such as Sam Charrington’s well-curated with human-centric safety controls. Ayanna or presented in a new format. There This Week in Machine Learning & AI; Paul Howard (Ohio State University) discusses is expanded coverage of areas such as Middlebrooks’ Brain Inspired; and the socialization of robots and the attribution of machine learning, deep learning, robotics, Lex Fridman Podcast, formerly called the genders to AI and robotic systems. natural language processing, causality, Artificial Intelligence Podcast. Of note, some And a recent This Machine Kills episode probabilistic programming, and the impact researchers who were interviewees have offers an engaging conversation between of AI on society. Several chapters include started their own programmes, such as Salomé Viljoen (NYU) and the hosts about contributing writers such as Judea Pearl Pieter Abeel’s The Robot Brains Podcast. An data governance and how to make data (Causal Networks), Ian Goodfellow (Deep alternative podcast that takes a (very) critical collection work for socially beneficial uses. Learning) and Anca Dragan (Robotics). look at how AI and big tech are ruling These books and podcasts, most of which The book includes historical notes, as well society and the economy, with a surprisingly appeared during the pandemic, remind as online resources such as exercises and light touch, is This Machine Kills hosted by us of the importance of stories, ideas and implementations of algorithms. Jathan Sadowski and Edward Ongweso Jr. people in our lives. We hope you enjoy our For a creative as well as informative take Some of the episodes from the past suggestions and have an opportunity for on machine learning, You Look Like a Thing year or two that we found particularly some refreshing reading and listening this and I Love You by Janelle Shane3 would be interesting include the following. For summer, on the beach or at home. ❐ a good choice for a beach read. The writer big-picture ideas on how to think about AI, explores, with hands-on experiments, the neuroscience and cognitive science, listen Published online: 20 July 2021 weird possibilities of generative AI systems, to Paul Cisek (University of Montreal) in https://doi.org/10.1038/s42256-021-00375-2 and provides an accessible introduction to two episodes: in part 1, he emphasizes the References machine learning but also a cautionary tale. importance of evolution in understanding 1. Metz, C. Genius Makers: Te Mavericks Who Brought AI to In books, the reader and author work the brain and cognition, especially the Google, Facebook, and the World (Dutton, 2021). together, one-to-one. Podcasts invite the roles of the environment and actions; 2. Russell, S. & Norvig, P. Artifcial Intelligence: A Modern Approach 4th edn (Pearson, 2020). listener or viewer to observe or listen and in part 2, he criticizes the ‘new AI’. 3. Shane, J. You Look Like a Ting and I Love You (Wildfre, 2019). to conversations. Good podcasts make Alison Gopnik (University of California 4. McCorduck, P. Machines Who Tink 2nd edn (Routledge, 2004).

Nature Machine Intelligence | VOL 3 | July 2021 | 555 | www.nature.com/natmachintell 555