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Poor judgment of autistic adults

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Autistic adults can be wrongly perceived as deceptive and lacking credibility, Flinders University researchers say, with this working against many caught in the legal system.
Ahead of World Autism Awareness Day (2 April 2021), a new paper in the
Journal of Autism and Developmental Disorders asked 1,410 civilians to respond to video recordings with 30 adults with Autism Spectrum Disorder (ASD) and 29 non-ASD individuals to examine whether stereotypical behaviors associated with autism influenced people s perceptions of the individual.
Common behaviors include gaze aversion, repetitive body movements, literal interpretations of figurative language and poor reciprocity.
Co-author Flinders Professor Robyn Young, author of Crime and Autism Spectrum Disorder: Myths and Mechanisms (2015) with Emeritus Professor Neil Brewer, says it s unfortunate that many of the behaviors that are believed to be portrayed by people who are being deceptive, often erroneou ....

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New study identifies a limit on the range of vocalizations that support infant cognition

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EVANSTON, Ill., - A new study by Northwestern University researchers finds that although human and non-human primate vocalizations facilitate core cognitive processes in very young human infants, birdsong does not.
Northwestern scientists in the departments of psychology at Weinberg College of Arts and Sciences and communication sciences and disorders at the School of Communication, have new evidence documenting that not all naturally produced vocalizations support cognition in infants.
The new study, Birdsong fails to support object categorization in human infants, will publish in
PLOS ONE at 1 p.m. CST, Thursday, March 11.
Ample evidence documents that infants as young as three- and four-months of age have begun to link the language they hear to the objects that surround them. Listening to their native language boosts their success in forming categories of objects (e.g., dog). Object categorization, the ability to identify commonalities among ob ....

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University of Guam receives $25K to build database of CHamoru language-learning resources

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IMAGE: The Young Men s League of Guam presented the University of Guam with a $25,000 grant on March 3 to develop an online open-access database for CHamoru language-learning resources. (From left).
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Credit: University of Guam
Recognizing the need to make instructional resources about the CHamoru language and culture more accessible to the community, Inetnon Lalåhen Guåhan the Young Men s League of Guam presented the University of Guam with a $25,000 grant on March 3 to develop an online open-access database for such resources.
The multi-phased project will include:
collecting, organizing, and digitizing CHamoru language and culture learning resources that have been produced over the last 50 years; ....

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Large computer language models carry environmental, social risks

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Computer engineers at the world s largest companies and universities are using machines to scan through tomes of written material. The goal? Teach these machines the gift of language. Do that, some even claim, and computers will be able to mimic the human brain.
But this impressive compute capability comes with real costs, including perpetuating racism and causing significant environmental damage, according to a new paper, On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ? The paper is being presented Wednesday, March 10 at the ACM Conference on Fairness, Accountability and Transparency (ACM FAccT).
This is the first exhaustive review of the literature surrounding the risks that come with rapid growth of language-learning technologies, said Emily M. Bender, a University of Washington professor of linguistics and a lead author of the paper along with Timnit Gebru, a well-known AI researcher. ....

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To reach human-level intelligence, AI systems must truly understand language

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TROY, N.Y. The original goal of human-like artificial intelligence was abandoned decades ago in favor of less ambitious approaches, two cognitive scientists argue in a new book. If that initial vision is to be realized, they say, AI systems will require a full understanding of language and meaning, the development of which remains a daunting but doable challenge.
In Linguistics for the Age of AI, published by MIT Press, co-authors Marjorie McShane and Sergei Nirenburg, both faculty in the Department of Cognitive Science at Rensselaer Polytechnic Institute and co-directors of the Language-Endowed Intelligent Agents Lab, present a novel approach to language processing for AI systems. ....

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