Zusammenfassungen

A smart, incisive look at the technologies sold as artificial intelligence, the drawbacks and pitfalls of technology sold under this banner, and why it’s crucial to recognize the many ways in which AI hype covers for a small set of power-hungry actors at work and in the world.
Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything?
The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.” Hype looks and smells fishy: It twists words and helps the rich get richer by justifying data theft, motivating surveillance capitalism, and devaluing human creativity in order to replace meaningful work with jobs that treat people like machines. In The AI Con, Bender and Hanna offer a sharp, witty, and wide-ranging take-down of AI hype across its many forms.
Bender and Hanna show you how to spot AI hype, how to deconstruct it, and how to expose the power grabs it aims to hide. Armed with these tools, you will be prepared to push back against AI hype at work, as a consumer in the marketplace, as a skeptical newsreader, and as a citizen holding policymakers to account. Together, Bender and Hanna expose AI hype for what it is: a mask for Big Tech’s drive for profit, with little concern for who it affects.
Dieses Buch erwähnt ...
Dieses Buch erwähnt vermutlich nicht ... 
![]() Nicht erwähnte Begriffe | Apple, Bildung, blockbasierte Programmierumgebungen, Datenschutz, Gesellschaft, GMLS & Bildung, GMLS & Schule, Hochschule, Internet, LehrerIn, Schule, supervised learning, unsupervised learning, Unterricht |
Tagcloud
Zitationsgraph
Zitationsgraph (Beta-Test mit vis.js)
1 Erwähnungen 
- «Der Hype war schon immer der Modus Operandi der KI-Forschung» (Alex Hanna, Emily M. Bender, Daniel Hackbarth) (2025)

Volltext dieses Dokuments
Anderswo suchen 
Beat und dieses Buch
Beat hat dieses Buch während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt kein physisches, aber ein digitales Exemplar. (das er aber aus Urheberrechtsgründen nicht einfach weitergeben darf). Aufgrund der vielen Verknüpfungen im Biblionetz scheint er sich intensiver damit befasst zu haben. Es gibt bisher nur wenige Objekte im Biblionetz, die dieses Werk zitieren.

Algorithmus
amazon
Anthropomorphismus
bias
Biologie
Chat-GPT
Classification
cloud computing
CO2-Fussabdruck
Daten
deep learning
deepfake
Demokratie
Digitalisierung
Empfehlungs-Algorithmus
Enshittification
Europa
facebook
Freiheit
Generative Machine-Learning-Systeme (GMLS)
Generative Pretrained Transformer 3 (GPT-3)
Generative Pretrained Transformer 4 (GPT-4)
Google
Hype Cycle
Innovation
Journalismus
Klimawandel
Kreativität
Künstliche Intelligenz (KI / AI)
Künstliches Leben (Artificial life)
LaMDA (Language Model for Dialogue Applications)
Large-scale Artificial Intelligence Open Network (LAION)
Lernen
LinkedIn
machine learning
Maschine
Microsoft
Perceptron
Plagiarismus
Plattformen
Privatsphäre
Programmieren
Schach
Sprache
Statistik
Technologie
Turnitin
Twitter
Uber
United Kingdom
Universität
Vertrauen
Zukunft
Biblionetz-History