“Unsituated knowledge” and the lack of a “world model” in so-called “AI”. #111Words #DonnaHaraway #SituatedKnowledges #GaryMarcus #WorldModels #EmilyMBender #AlexHanna #LargeLanguageModels #SyntheticTextExtrudingMachines #AI #UnsituatedKnowledge https://111-words.ghost.io/unsituated-knowledge-and-the-lack-of-a-world-model-in-so-called-ai/

The farther away I get from having read the book The #AI Con: How to Fight Big Tech’s Hype and Create the Future We Want Book by #AlexHanna and #EmilyM.Bender, the more susceptible get to #AIhype.

“ #Metaphors have power, they structure the frames of #discourse, and they can subtly and insidiously encourage certain ways of understanding #technology and the social systems it is embedded in.” - #EmilyMBender & #AlexHanna, #TheAICon: How to Fight Big Tech’s Hype and Create the #Future We Want

“Today’s #SyntheticMediaExtrudingMachines are all based on #datatheft and #laborexploitation, and enable some of the worst, most perverse incentives in each of these attendant fields.” #EmilyMBender & #AlexHanna, #TheAICon: How to Fight Big Tech’s Hype and Create the #FutureWeWant

Text-extruders in my university courses. #111Words #EmilyMBender #AlexHanna #TheAICon #TextExtruders #Teaching #Students https://111-words.ghost.io/text-extruders-in-my-university-courses/

No Encontré Libro: The AI Con, de Emily M. Bender y Alex Hanna

El trabajo oculto que hace que la IA funcione

Alex Hanna y Emily M. Bender analizan el revuelo en torno a la inteligencia artificial en su nuevo libro, The AI ​​Con. A continuación, se presenta un extracto sobre el trabajo invisible que se esconde tras algunas herramientas de IA.

La mayoría de las herramientas de IA requieren una enorme cantidad de trabajo oculto para que funcionen. Este esfuerzo masivo va más allá del trabajo de controlar los sistemas que operan en tiempo real, al trabajo de crear los datos utilizados para entrenar los sistemas. Este tipo de trabajadores realizan una gran cantidad de tareas. Se les pide que dibujen cuadros verdes resaltados alrededor de los objetos en las imágenes provenientes de las transmisiones de las cámaras de los autos autónomos; califiquen cuán incoherentes, útiles u ofensivas son las respuestas existentes de los modelos de lenguaje; etiqueten si las publicaciones en redes sociales incluyen discursos de odio o amenazas violentas; y determinen si las personas en videos sexualmente provocativos son menores. Estos trabajadores manejan una gran cantidad de contenido tóxico. Dado que las máquinas de síntesis de medios recombinan el contenido de internet en texto que suena plausible e imágenes legibles, las empresas requieren un proceso de selección para evitar que sus usuarios vean lo peor que la web tiene para ofrecer.

Esta industria ha recibido muchos nombres: «crowdwork», «trabajo de datos» o » trabajo fantasma » (ya que este trabajo suele pasar desapercibido para los consumidores occidentales). Sin embargo, este trabajo es muy visible para quienes lo realizan. Los trabajos en los que trabajadores mal pagados filtran, corrigen o etiquetan texto, imágenes, vídeos y sonidos existen desde hace casi tanto tiempo como la IA y la era actual de los métodos de aprendizaje profundo. No es exagerado decir que no tendríamos la ola actual de «IA» si no fuera por la disponibilidad de trabajadores bajo demanda.

ImageNet es uno de los primeros y más grandes proyectos que recurrió a trabajadores colaborativos en masa para seleccionar datos para el etiquetado de imágenes. Fei-Fei Li, profesor de informática y posteriormente director fundador del influyente laboratorio de Inteligencia Artificial Centrada en el Ser Humano de Stanford, junto con estudiantes de posgrado de Princeton y Stanford, se esforzó por crear un conjunto de datos que pudiera utilizarse para desarrollar herramientas de clasificación y localización de imágenes. Estas tareas por sí solas no son perjudiciales; de hecho, la clasificación y localización automatizadas podrían ser útiles, por ejemplo, en cámaras digitales que enfocan automáticamente los rostros en una imagen, o en la identificación de objetos en una línea de montaje de fábrica en constante movimiento, de modo que un trabajo físicamente peligroso pueda sustituirse por uno realizado a distancia.

Rest of World

Site del Libro no está online!

Podcast Mystery AI Hype Theater 3000 con Emily M. Bender y Alex Hanna

El site de los podcasts con las transcripciones en inglés

Algo más que NO encontré por ahí

#AlexHanna #EmilyMBender #inteligenciaArtificial #trabajadores #trabajoInvisible

"... Data Workers Inquiry ... is a really important example of bringing attention to what's going on in the work that is hidden behind the facade of artificial intelligence because it's being marketed so heavily is fully automated when it's always people and so the various initiatives to make that visible are hugely meaningful even if they are small compared to the onslaught."

#EmilyMBender, author of The AI Con, 2025

https://www.techpolicy.press/taking-on-the-ai-con/

#podcasts #TechPolicyPress #SundayShow #MOLE #AI

The New York Times publishes a list of ten white men “behind the modern artificial intelligence movement”. #111Words #NewYorkTimes #JEdwardMoreno #AI #ErasingWomen #WhiteCentered #MaleCentric #EmilyMBender #TimnitGebru https://andrewjshields.blogspot.com/2023/12/the-new-york-times-publishes-list-of.html

@jeffjarvis @emilymbender @ct_bergstrom

Thanks brilliant article. Really great explanation of why we shouldn't expect anything but weird from it.

"The only knowledge it has is knowledge of distribution of linguistic form." (Computationally expensive autocorr-wrong).

#EmilyMBender #ThaiLibraryExperiment #AI

You Are Not a Parrot And a #chatbot is not a #human. A #Computationallinguist named #EmilyMBender is very worried what will happen when we forget this.#ChatGPT is nothing like human https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html #linguist #data #NaturaLanguage #EnglishLanguage #octopus #linguistics #algorithms #MachineLearning

.> Tl;dr: The harms from so-called AI are real and present and follow from the acts of people and corporations deploying automated systems. Regulatory efforts should focus on transparency, accountability and preventing exploitative labor practices.

.> While there are a number of recommendations in the letter that we agree with (and proposed in our 2021 peer-reviewed paper known informally as "Stochastic Parrots"), such as "provenance and watermarking systems to help distinguish real from synthetic" media, these are overshadowed by fearmongering and AI hype, which steers the discourse to the risks of imagined "powerful digital minds" with "human-competitive intelligence." Those hypothetical risks are the focus of a dangerous ideology called longtermism that ignores the actual harms resulting from the deployment of AI systems today.

@emilymbender

On the “sparks” paper: https://nitter.net/emilymbender/status/1638891855718002691?s=20​

On the GPT-4 ad copy: https://nitter.net/emilymbender/status/1635697381244272640?s=20​

On “general” tasks: https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/084b6fbb10729ed4da8c3d3f5a3ae7c9-Abstract-round2.html​

Opinions of @emilymbender

nitter.net to protect privacy

#aihype #emilymbender #sparksofagi #agi #gpt4 #nitter #nitternet #nitterdotnet

A profile of #EmilyMBender mentions attempts to equate RichGuy machines with humans. It reminded me of #Chomsky in #ProfitsOverPeople:
> There are no rights of property, only.. rights of persons with property.. I have a right to my car, but my car has no rights. The right.. differs from others in that one person’s possession of property deprives another of that right if I own my car, you do not; but in a just and free society, my freedom of speech would not limit yours.
https://chomsky.info/profit02/

> We can’t live in a world with what he calls “counterfeit people.”.. Artificial people will always have less at stake than real ones, and that makes them amoral actors, he added. “Not for metaphysical reasons but for simple, physical reasons: They are sort of immortal.”
.. We need strict liability for the technology’s creators,

https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html

In the profile of #EmilyMBender, #DanielDennet makes me think of #TheCorporation, #LegalPersons and then Lewis Mumford's #MegaMachine

> We’ve learned to make “machines that can mindlessly generate text,” Bender.. “But we haven’t learned how to stop imagining the mind behind it.”.. #JosephWeizenbaum, who created #ELIZA, the first #chatbot, in 1966, spent most of the rest of his life regretting it.. he wrote ten years later in Computer Power and Human Reason.. that.. The toys are fun, enchanting, and addicting, and that, he believed even 47 years ago, will be our ruin:
https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html
#EmilyMBender #EmilyBender

> [Emily Bender] She also started publicly challenging the term artificial intelligence, a sure way, as a middle-aged woman in a male field, to get yourself branded as a scold. The idea of intelligence has a white-supremacist history. And besides, “intelligent” according to what definition? The three-stratum definition? #HowardGardner’s theory of multiple intelligences? The Stanford-Binet #IntelligenceScale?
https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html
#EmilyMBender on on #Fascist #AI as #WhiteSupremacist #Salami

'Bender remains particularly fond of an alternative name for AI proposed by a former member of the Italian Parliament: “Systematic Approaches to Learning Algorithms and Machine Inferences.” Then people would be out here asking, “Is this SALAMI intelligent? Can this SALAMI write a novel? Does this SALAMI deserve human rights?”'

#EmilyMBender #ComputationalLinguistics #ChatGPT #LargeLanguageModels #Octopuses #StochasticParrots #Bullshit

https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html