New Books in Technology

In Camera Geologica: An Elemental History of Photography (Duke UP, 2024) Siobhan Angus tells the history of photography through the minerals upon which the medium depends. Challenging the emphasis on immateriality in discourses on photography, Angus focuses on the inextricable links between image-making and resource extraction, revealing how the mining of bitumen, silver, platinum, iron, uranium, and rare earth elements is a precondition of photography. Through a materials-driven analysis of visual culture, she illustrates histories of colonization, labor, and environmental degradation to expose the ways in which photography is enmeshed within and enables global extractive capitalism. 

This conversation discusses the meta-narrative and performative aspects of some of the photographs shown in the text, dives into some of the stories and examples from Ann Atkin's cyanotypes of the 1800s to Warren Cariou's contemporary bitumin prints, and asks what ethical photography looks like given the resource extraction required. 

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How does a delivery driver distribute hundreds of packages in a single working day? Why does remote Alaska have such a large airport? Where should we look for elusive serial killers? The answers lie in the crucial connection between maps and maths.

In Mapmatics: How We Navigate the World Through Numbers (Pan Macmillan, 2024), Dr Paulina Rowinska embarks on a fascinating journey to discover the mathematical foundations of cartography and cartographical influences on mathematics.

From a sixteenth-century map that remains an indispensable navigation tool despite emphasising the North–South divide to public transport maps that both guide and mislead passengers, she reveals how maps and maths shape not only our sense of space and time but also our worldview.

Through entertaining stories, surprising real-world examples and a cast of unforgettable characters, Mapmatics helps us to appreciate the mathematical methods and ideas behind maps. And, by illuminating how our world works, leaves us better equipped to understand and look after it.

This interview was conducted by Dr. Miranda Melcher whose new book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars.

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Peoples & Things host Lee Vinsel talks with danah boyd, Partner Researcher at Microsoft Research, founder of the Data & Society Research Institute, and a distinguished visiting professor at Georgetown University, about her career and work. The pair discuss boyd's the genesis and intellectual background of boyd's now classic text, It's Complicated: The Social Lives of Teens (Yale UP, 2014) as well as her more recent work on digital infrastructure and the US Census Bureau.

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With the rapid development of artificial intelligence and labor-saving technologies like self-checkouts and automated factories, the future of work has never been more uncertain, and even jobs requiring high levels of human interaction are no longer safe. The Last Human Job: The Work of Connecting in a Disconnected World (Princeton UP, 2024) explores the human connections that underlie our work, arguing that what people do for each other in these settings is valuable and worth preserving.

Drawing on in-depth interviews and observations with people in a broad range of professions--from physicians, teachers, and coaches to chaplains, therapists, caregivers, and hairdressers--Allison Pugh develops the concept of "connective labor," a kind of work that relies on empathy, the spontaneity of human contact, and a mutual recognition of each other's humanity. The threats to connective labor are not only those posed by advances in AI or apps; Pugh demonstrates how profit-driven campaigns imposing industrial logic shrink the time for workers to connect, enforce new priorities of data and metrics, and introduce standardized practices that hinder our ability to truly see each other. She concludes with profiles of organizations where connective labor thrives, offering practical steps for building a social architecture that works.

Vividly illustrating how connective labor enriches the lives of individuals and binds our communities together, The Last Human Job is a compelling argument for us to recognize, value, and protect humane work in an increasingly automated and disconnected world.

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Today’s book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself? 

Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future.

Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.

Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell.

Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes.

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Artificial intelligence started with programmed computers, where programmers would manually program human expert knowledge into the systems. In sharp contrast, today's artificial neural networks – deep learning – are able to learn from experience, and perform at human-like levels of perceptual categorization, language production, and other cognitive abilities at h. This difference has been portrayed as roughly parallel to the philosophical divide between rationalists or nativists on the one hand, and empiricists on the other. 

In From Deep Learning to Rational Machines (Oxford UP, 2024), Cameron Buckner lays out a program for future AI development based on discussions of the human mind by such figures as David Hume, Ibn Sina (Avicenna), and Sophie de Grouchy, among others. Buckner, who is an associate professor of philosophy at the University of Houston, offers a conceptual framework that occupies a middle ground between the extremes of 'blank slate' empiricism and innate domain specific faculty psychology, and defends the claim that neural network modelers have found, at least in some cases, a sweet spot of abstraction from the messy details of biological cognition so as to capture the relevant similarities in their artificial networks.

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In this debut conversation, we speak to Dr. Nina Beguš, a researcher at UC Berkeley and the founder of InterpretAI who holds a PhD in Comparative Literature from Harvard University. Listen to learn about Nina’s path at the intersection of AI and the humanities, the challenges and rewards of working across disciplines, what questions to ask as an ethical researcher, and practical advice for how to succeed in a multifaceted, multidisciplinary career in today’s fast-changing digital landscape.

Beguš' first book, titled Artificial Humanities: A Fictional Perspective on Language in AI, is currently under an advance contract with the University of Michigan Press.

Towards Knowledge is a Latent Knowledge podcast series where we interview industry and academic leaders about research in the real world — from career development to the most pressing philosophical questions in today’s changing research landscape.

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Brynn Quick speaks with best-selling author and linguist Gretchen McCulloch about her 2019 New York Times bestselling book Because Internet: Understanding the New Rules of Language (Riverhead Books, 2020). Gretchen has written a Resident Linguist column at The Toast and Wired. She is also the co-creator of Lingthusiasm, a wildly popular podcast that’s enthusiastic about linguistics.

Because Internet is for anyone who’s ever puzzled over how to punctuate a text message or wondered where memes come from. It’s the perfect book for understanding how the internet is changing the English language, why that’s a good thing, and what our online interactions reveal about who we are.

For additional resources, show notes, and transcripts, go here.

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The Dangerous Art of Text Mining: A Methodology for Digital History (Cambridge UP, 2022) celebrates the bold new research now possible because of text mining: the art of counting words over time. However, this book also presents a warning: without help from the humanities, data science can distort the past and lead to perilous errors. The book opens with a rogue's gallery of errors, then tours the ground-breaking analyses that have resulted from collaborations between humanists and data scientists. 

Jo Guldi explores how text mining can give a glimpse of the changing history of the past - for example, how quickly Americans forgot the history of slavery. Textual data can even prove who was responsible in Congress for silencing environmentalism over recent decades. The book ends with an impassioned vision of what text mining in defence of democracy would look like, and why humanists need to be involved.

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Well into the new millennium, the analog cassette tape continues to claw its way back from obsolescence. New cassette labels emerge from hipster enclaves while the cassette’s likeness pops up on T-shirts, coffee mugs, belt buckles, and cell phone cases. In Unspooled: How the Cassette Made Music Shareable (Duke University Press, 2024), Dr. Rob Drew traces how a lowly, hissy format that began life in office dictation machines and cheap portable players came to be regarded as a token of intimate expression through music and a source of cultural capital.

Drawing on sources ranging from obscure music zines to transcripts of Congressional hearings, Dr. Drew examines a moment in the early 1980s when music industry representatives argued that the cassette encouraged piracy. At the same time, 1980s indie rock culture used the cassette as a symbol to define itself as an outsider community. Indie’s love affair with the cassette culminated in the mixtape, which advanced indie’s image as a gift economy. By telling the cassette’s long and winding history, Dr. Drew demonstrates that sharing cassettes became an acceptable and meaningful mode of communication that initiated rituals of independent music recording, re-recording, and gifting.

This interview was conducted by Dr. Miranda Melcher whose new book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars.

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