Screening Big Data: Films That Shape Our Algorithmic Literacy
この電子書籍について
From star-powered blockbusters to civic-minded documentaries positioned to facilitate weighty debates about artificial intelligence, these texts frame our discourse and mediate our relationship to technology. Above all, they impact society’s abilities to regulate AI and navigate big tech’s political and economic maneuvers to achieve market dominance and regulatory capture. Foregrounding data politics with close readings of key films like Moneyball, Minority Report, The Social Dilemma, and Coded Bias, Gerald Sim reveals compelling ways in which films and tech industry–adjacent media define apprehension of AI. With the mid-2010s techlash in danger of fizzling out, Screening Big Data explores the relationship between this resistance and cultural infrastructure while highlighting the urgent need to refocus attention onto how technocentric media occupy the public imagination.
This book will interest students and scholars of film and media studies, digital culture, critical data studies, and technopolitics.
著者について
Gerald Sim is a professor of film and media studies and I-SENSE Ethics Fellow at Florida Atlantic University, USA. He is the author of The Subject of Film and Race: Retheorizing Politics, Ideology, and Cinema (2014) and Postcolonial Hangups in Southeast Asian Cinema: Poetics of Space, Sound, and Stability (2020).
