Publisher description

A compelling case for the re-examination of interface design models is presented by this text's assertion that human behavior is not taken into account in the planning model generally favored by artificial intelligence.

machines stems from the consumer, the product, or the interplay between the two. --

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

An exploration of how financial market laws and regulations can - and should - govern the use of artificial intelligence.

Tracing the connections between human-like robots and AI at the site of dehumanization and exploited labor The word robot—introduced in Karel Čapek’s 1920 play R.U.R.—derives from rabota, the Czech word for servitude or forced labor. A century later, the play’s dystopian themes of dehumanization and exploited labor are being played out in factories, workplaces, and battlefields. In The Robotic Imaginary, Jennifer Rhee traces the provocative and productive connections of contemporary robots in technology, film, art, and literature. Centered around the twinned processes of anthropomorphization and dehumanization, she analyzes the coevolution of cultural and technological robots and artificial intelligence, arguing that it is through the conceptualization of the human and, more important, the dehumanized that these multiple spheres affect and transform each other. Drawing on the writings of Alan Turing, Sara Ahmed, and Arlie Russell Hochschild; such films and novels as Her and The Stepford Wives; technologies like Kismet (the pioneering “emotional robot”); and contemporary drone art, this book explores anthropomorphic paradigms in robot design and imagery in ways that often challenge the very grounds on which those paradigms operate in robotics labs and industry. From disembodied, conversational AI and its entanglement with care labor; embodied mobile robots as they intersect with domestic labor; emotional robots impacting affective labor; and armed military drones and artistic responses to drone warfare, The Robotic Imaginary ultimately reveals how the human is made knowable through the design of and discourse on humanoid robots that are, paradoxically, dehumanized.