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Emily M. Bender
Emily Menon Bender (born 1973) is an American linguist and professor at the University of Washington where she directs its Computational Linguistics Laboratory. She specializes in computational linguistics and natural language processing. She has published several papers on the risks of large language models and on ethics in natural language processing and co-authored the 2025 book ''The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want''. Education Bender earned an AB in Linguistics from University of California, Berkeley, UC Berkeley in 1995. She received her MA from Stanford University in 1997 and her PhD from Stanford in 2000 for her research on syntactic variation and linguistic competence in African American Vernacular English (AAVE). She was supervised by Tom Wasow and Penelope Eckert. Career Before working at University of Washington, Bender held positions at Stanford University, UC Berkeley and worked in industry at YY Technologies. She holds several p ...
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UC Berkeley
The University of California, Berkeley (UC Berkeley, Berkeley, Cal, or California), is a public land-grant research university in Berkeley, California, United States. Founded in 1868 and named after the Anglo-Irish philosopher George Berkeley, it is the state's first land-grant university and is the founding campus of the University of California system. Berkeley has an enrollment of more than 45,000 students. The university is organized around fifteen schools of study on the same campus, including the College of Chemistry, the College of Engineering, College of Letters and Science, and the Haas School of Business. It is classified among "R1: Doctoral Universities – Very high research activity". Lawrence Berkeley National Laboratory was originally founded as part of the university. Berkeley was a founding member of the Association of American Universities and was one of the original eight " Public Ivy" schools. In 2021, the federal funding for campus research and dev ...
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Association For Computational Linguistics
The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on natural language processing. Its namesake conference is one of the primary high impact conferences for natural language processing research, along with EMNLP. The conference is held each summer in locations where significant computational linguistics research is carried out. It was founded in 1962, originally named the Association for Machine Translation and Computational Linguistics (AMTCL). It became the ACL in 1968. The ACL has a European (EACL), a North American ( NAACL), and an Asian (AACL) chapter. History The ACL was founded in 1962 as the Association for Machine Translation and Computational Linguistics (AMTCL). The initial membership was about 100. In 1965, the AMTCL took over the journal '' Mechanical Translation and Computational Linguistics''. This journal was succeeded by many other journals: the '' American Journal of Computational Linguistics'' ...
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Machine Learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of Computational statistics, statistical algorithms that can learn from data and generalise to unseen data, and thus perform Task (computing), tasks without explicit Machine code, instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed Neural network (machine learning), neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Statistics and mathematical optimisation (mathematical programming) methods comprise the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysi ...
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Ethics Of Artificial Intelligence
The ethics of artificial intelligence covers a broad range of topics within AI that are considered to have particular ethical stakes. This includes algorithmic biases, Fairness (machine learning), fairness, automated decision-making, accountability, privacy, and Regulation of artificial intelligence, regulation. It also covers various emerging or potential future challenges such as machine ethics (how to make machines that behave ethically), Lethal autonomous weapon, lethal autonomous weapon systems, Artificial intelligence arms race, arms race dynamics, AI safety and AI alignment, alignment, technological unemployment, AI-enabled misinformation, how to treat certain AI systems if they have a moral status (AI welfare and rights), artificial superintelligence and Existential risk from artificial general intelligence, existential risks. Some application areas may also have particularly important ethical implications, like Artificial intelligence in healthcare, healthcare, education, ...
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Timnit Gebru
Timnit Gebru (Amharic and ; 1982/1983) is an Eritrean Ethiopian-born computer scientist who works in the fields of artificial intelligence (AI), algorithmic bias and data mining. She is a co-founder of Black in AI, an advocacy group that has pushed for more Black roles in AI development and research. She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR). In December 2020, public controversy erupted over the circumstances surrounding Gebru's departure from Google, where she was technical co-lead of the Ethical Artificial Intelligence Team. Gebru had coauthored a paper on the risks of large language models (LLMs) acting as stochastic parrots, and submitted it for publication. According to Jeff Dean, the paper was submitted without waiting for Google's internal review, which then asserted that it ignored too much relevant research. Google management requested that Gebru either withdraw the paper or remove the names of all the authors employed by ...
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Google
Google LLC (, ) is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as "the most powerful company in the world" by the BBC and is one of the world's List of most valuable brands, most valuable brands. Google's parent company, Alphabet Inc., is one of the five Big Tech companies alongside Amazon (company), Amazon, Apple Inc., Apple, Meta Platforms, Meta, and Microsoft. Google was founded on September 4, 1998, by American computer scientists Larry Page and Sergey Brin. Together, they own about 14% of its publicly listed shares and control 56% of its stockholder voting power through super-voting stock. The company went public company, public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Go ...
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Can Language Models Be Too Big?
Can may refer to: Language * A verb for ability * A verb for probability Containers * A container used for food preservation in canning ** Aluminum can ** Drink can ** Steel and tin cans * Trash can * Oil can * Petrol can Music * Can (band), West Germany, 1968 ** ''Can'' (album), 1979 * Can (South Korean band) Abbreviations *Canada, a country *Cantoris, side of a church or choir Other * Can (name), Turkish and Circassian given name and surname * Can (verb) * Canning of food * River Can, Essex, UK * Tomato can (sports idiom) See also * CAN (other) * Cann (other) * Cans (other) * Kan (other) * Can-can (other) The can-can is a dance. Can-Can may also refer to: * Can Can (band), American punk rock band * ''Can-Can'' (musical), a 1953 musical ** ''Can-Can'' (film), based on the musical * Can Can, fragrance designed by Paris Hilton * "Galop Infernal", ...
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HPSG
Head-driven phrase structure grammar (HPSG) is a highly lexicalized, constraint-based grammar developed by Carl Pollard and Ivan Sag. It is a type of phrase structure grammar, as opposed to a dependency grammar, and it is the immediate successor to generalized phrase structure grammar. HPSG draws from other fields such as computer science (type system, data type theory and knowledge representation) and uses Ferdinand de Saussure's notion of the sign (linguistics), sign. It uses a uniform formalism and is organized in a modular way which makes it attractive for natural language processing. An HPSG includes principles and grammar rules and lexicon entries which are normally not considered to belong to a grammar. The formalism is based on lexicalism. This means that the lexicon is more than just a list of entries; it is in itself richly structured. Individual entries are marked with types. Types form a hierarchy. Early versions of the grammar were very lexicalized with few grammatica ...
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American Sign Language
American Sign Language (ASL) is a natural language that serves as the predominant sign language of Deaf communities in the United States and most of Anglophone Canadians, Anglophone Canada. ASL is a complete and organized visual language that is expressed by employing both manual and nonmanual features. Besides North America, dialects of ASL and ASL-based creole language, creoles are used in many countries around the world, including much of West Africa and parts of Southeast Asia. ASL is also widely learned as a second language, serving as a lingua franca. ASL is most closely related to French Sign Language (LSF). It has been proposed that ASL is a creole language of LSF, although ASL shows features atypical of creole languages, such as agglutination, agglutinative morphology. ASL originated in the early 19th century in the American School for the Deaf (ASD) in Hartford, Connecticut, from a situation of language contact. Since then, ASL use has been propagated widely by schools ...
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Wambaya Language
Wambaya is a Non-Pama-Nyungan languages, Non-Pama-Nyungan West Barkly languages, West Barkly Australian Aboriginal languages, Australian language of the Mirndi languages, Mirndi language groupNordlinger, Rachel. (1998), ''A Grammar Of Wambaya, Northern Territory (Australia),'' p. 1. that is spoken in the Barkly Tableland of the Northern Territory, Australia. Wambaya and the other members of the West Barkly languages are somewhat unusual in that they are suffixing languages, unlike most Non-Pama-Nyungan languages which are prefixing. The language was reported to have 12 speakers in 1981, and some reports indicate that the language went language death, extinct as a first language. However, in the 2011 Australian census 56 people stated that they speak Wambaya at home. That number increased to 61 in the 2016 Census. Rachel Nordlinger notes that the speech of the Wambaya people, Wambaya, Gudanji and Binbinka people "are clearly dialects" of a single language, which she calls "McArth ...
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Mandarin Chinese
Mandarin ( ; zh, s=, t=, p=Guānhuà, l=Mandarin (bureaucrat), officials' speech) is the largest branch of the Sinitic languages. Mandarin varieties are spoken by 70 percent of all Chinese speakers over a large geographical area that stretches from Yunnan in the southwest to Xinjiang in the northwest and Heilongjiang in the northeast. Its spread is generally attributed to the greater ease of travel and communication in the North China Plain compared to the more mountainous south, combined with the relatively recent spread of Mandarin to frontier areas. Many varieties of Mandarin, such as Southwestern Mandarin, those of the Southwest (including Sichuanese dialects, Sichuanese) and the Lower Yangtze Mandarin, Lower Yangtze, are not mutually intelligible with the Beijing dialect (or are only partially intelligible). Nevertheless, Mandarin as a group is often placed first in lists of languages by number of native speakers (with nearly one billion). Because Mandarin originated in ...
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