Vladan Joler, Matteo Pasquinelli: The Nooscope Manifested: AI as Instrument of Knowledge Extractivism (2020)
Filed under essay | Tags: · algorithm, artificial intelligence, automation, data, knowledge, machine learning, statistics
“The Nooscope is a cartography of the limits of artificial intelligence, intended as a provocation to both computer science and the humanities. Any map is a partial perspective, a way to provoke debate. Similarly, this map is a manifesto — of AI dissidents.”
“The Nooscope is a visual manifesto of AI as instrument of knowledge extractivism. The Nooscope is also an experiment in academic publication and critical tools for AI studies. The large diagram and the essay can be browsed online or downloaded in PDF format and printed on a large scale.”
Publisher KIM research group, Karlsruhe University of Arts and Design, Karlsruhe, and Share Lab, Novi Sad, 1 May 2020
Open access
Diagram & Essay HTML
Diagram PDF
Essay PDF
AI Now 2019 Report (2019)
Filed under report | Tags: · artificial intelligence, automation, data, employment, ethics, gender, governance, infrastructure, machine learning, policy, power, race, society
This report “examines new research on the risks and harms of AI, including its use by companies to aggressively manage and control workers, its climate impact, and the growing use of facial and affect recognition. We also look at the growing movements that are demanding a halt to risky and dangerous AI, and offer recommendations on what policymakers, advocates, and researchers can do to address these harms.”
By Kate Crawford, Roel Dobbe, Theodora Dryer, Genevieve Fried, Ben Green, Elizabeth Kaziunas, Amba Kak, Varoon Mathur, Erin McElroy, Andrea Nill Sánchez, Deborah Raji, Joy Lisi Rankin, Rashida Richardson, Jason Schultz, Sarah Myers West, and Meredith Whittaker
Publisher AI Now Institute, New York, 12 Dec 2019
Creative Commons BY-ND 4.0 International License
100 pages
Ruha Benjamin: Race After Technology: Abolitionist Tools for the New Jim Code (2019)
Filed under book | Tags: · abolitionism, algorithm, artificial intelligence, dna, facebook, google, prediction market, race, racism, segregation, social media, surveillance, technology
“From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity.
Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life.
This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture.”
Publisher Polity Press, Cambridge, 2019
ISBN 9781509526406, 1509526404
x+285 pages
Interview with author (Sanjana Varghese, Guardian, 2019)
Comment (0)