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  1. Gender Trouble: Feminism and the Subversion of Identity.Judith Butler & Suzanne Pharr - 1990 - Hypatia 5 (3):171-175.
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  • The ethics of algorithms: mapping the debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2):2053951716679679.
    In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...)
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  • A spreading-activation theory of semantic processing.Allan M. Collins & Elizabeth F. Loftus - 1975 - Psychological Review 82 (6):407-428.
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  • On narrow norms and vague heuristics: A reply to Kahneman and Tversky.Gerd Gigerenzer - 1996 - Psychological Review 103 (3):592-596.
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  • Implicit social cognition: Attitudes, self-esteem, and stereotypes.Anthony G. Greenwald & Mahzarin R. Banaji - 1995 - Psychological Review 102 (1):4-27.
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  • The Gender Similarities Hypothesis.Janet Shibley Hyde - 2005 - American Psychologist 60 (6):581-592.
    The differences model, which argues that males and females are vastly different psychologically, dominates the popular media. Here, the author advances a very different view, the gender similarities hypothesis, which holds that males and females are similar on most, but not all, psychological variables. Results from a review of 46 meta-analyses support the gender similarities hypothesis. Gender differences can vary substantially in magnitude at different ages and depend on the context in which measurement occurs. Overinflated claims of gender differences carry (...)
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  • On the psychology of prediction.Daniel Kahneman & Amos Tversky - 1973 - Psychological Review 80 (4):237-251.
    Considers that intuitive predictions follow a judgmental heuristic-representativeness. By this heuristic, people predict the outcome that appears most representative of the evidence. Consequently, intuitive predictions are insensitive to the reliability of the evidence or to the prior probability of the outcome, in violation of the logic of statistical prediction. The hypothesis that people predict by representativeness was supported in a series of studies with both naive and sophisticated university students. The ranking of outcomes by likelihood coincided with the ranking by (...)
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  • Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Gender Trouble: Feminism and the Subversion of Identity.Judith Butler - 1989 - Routledge.
    Ever since feminist theory introduced the distinction between sex and gender, the question of what it means to be a woman has preoccupied feminist thought. In ____Gender__ ____Trouble ____ Judith Butler questions whether it is possible to "be" a woman at all or, for that matter, any gender.
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  • Homo Heuristicus: Why Biased Minds Make Better Inferences.Gerd Gigerenzer & Henry Brighton - 2009 - Topics in Cognitive Science 1 (1):107-143.
    Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the study of heuristics shows that less information, computation, and time can in fact improve accuracy. We review the major progress made so far: the discovery of less-is-more effects; the study of the ecological rationality of heuristics, which examines in which environments a given strategy succeeds or fails, and why; an advancement from vague labels to computational models of heuristics; the (...)
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  • Gender Trouble: Feminism and the Subversion of Identity.Judith Butler - 1989 - Routledge.
    Contemporary feminist debates over the meanings of gender lead time and again to a certain sense of trouble, as if the indeterminacy of gender might eventually culminate in the failure of feminism. Perhaps trouble need not carry such a..
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  • Measuring Individual Differences in Implicit Cognition: The Implicit Association Test.Debbie E. McGhee, Jordan L. K. Schwartz & Anthony G. Greenwald - 1998 - Journal of Personality and Social Psychology 74 (6):1464-1480.
    An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (e.g., flower vs. insect names), and the attribute in a 2nd task (e.g., pleasant vs. unpleasant words for an evaluation attribute). When instructions oblige highly associated categories (e.g., flower + pleasant) to share a response key, performance is faster than when less associated categories (e.g., insect + pleasant) share a key. This performance difference implicitly measures differential association (...)
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  • Controlled and automatic human information processing: Perceptual learning, automatic attending, and a general theory.Richard M. Shiffrin & Walter Schneider - 1977 - Psychological Review 84 (2):128-90.
    Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories is (...)
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  • Making it abstract, making it contestable: politicization at the intersection of political and cognitive science.Claudia Mazzuca & Matteo Santarelli - 2023 - Review of Philosophy and Psychology 14 (4):1257-1278.
    The notion of politicization has been often assimilated to that of partisanship, especially in political and social sciences. However, these accounts underestimate more fine-grained, and yet pivotal, aspects at stake in processes of politicization. In addition, they overlook cognitive mechanisms underlying politicizing practices. Here, we propose an integrated approach to politicization relying on recent insights from both social and political sciences, as well as cognitive science. We outline two key facets of politicization, that we call partial indetermination and contestability, and (...)
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  • DOLCE: A descriptive ontology for linguistic and cognitive engineering1.Stefano Borgo, Roberta Ferrario, Aldo Gangemi, Nicola Guarino, Claudio Masolo, Daniele Porello, Emilio M. Sanfilippo & Laure Vieu - 2022 - Applied ontology 17 (1):45-69.
    dolce, the first top-level ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, and (...)
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  • A review of possible effects of cognitive biases on interpretation of rule-based machine learning models. [REVIEW]Tomáš Kliegr, Štěpán Bahník & Johannes Fürnkranz - 2021 - Artificial Intelligence 295 (C):103458.
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  • BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network.Roberto Navigli & Simone Paolo Ponzetto - 2012 - Artificial Intelligence 193 (C):217-250.
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  • Gender As a Social Structure: Theory Wrestling with Activism.Barbara J. Risman - 2004 - Gender and Society 18 (4):429-450.
    In this article, the author argues that we need to conceptualize gender as a social structure, and by doing so, we can better analyze the ways in which gender is embedded in the individual, interactional, and institutional dimensions of our society. To conceptualize gender as a structure situates gender at the same level of general social significance as the economy and the polity. The author also argues that while concern with intersectionality must continue to be paramount, different structures of inequality (...)
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  • Doing Gender.Don H. Zimmerman & Candace West - 1987 - Gender and Society 1 (2):125-151.
    The purpose of this article is to advance a new understanding of gender as a routine accomplishment embedded in everyday interaction. To do so entails a critical assessment of existing perspectives on sex and gender and the introduction of important distinctions among sex, sex category, and gender. We argue that recognition of the analytical independence of these concepts is essential for understanding the interactional work involved in being a gendered person in society. The thrust of our remarks is toward theoretical (...)
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  • AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
    This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...)
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  • Sex/Gender: Biology in a Social world.Anne Fausto-Sterling - 2012 - Routledge.
    Sex/Gender presents a relatively new way to think about how biological difference can be produced over time in response to different environmental and social experiences. -/- This book gives a clearly written explanation of the biological and cultural underpinnings of gender. Anne Fausto-Sterling provides an introduction to the biochemistry, neurobiology, and social construction of gender with expertise and humor in a style accessible to a wide variety of readers. In addition to the basics, Sex/Gender ponders the moral, ethical, social and (...)
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  • Associative judgment and vector space semantics.Sudeep Bhatia - 2017 - Psychological Review 124 (1):1-20.
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  • Judgement under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky - 1985 - British Journal for the Philosophy of Science 36 (3):331-340.
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