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1	Machine Translation and Gender biases in video game localisation: a corpus-based analysis
	Rivas Ginel, María,; Theroine, Sarah
	In: https://hal.archives-ouvertes.fr/hal-03540605 ; 2022 (2022)
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2	Labour market discrimination and biases in human judgement and Artificial Intelligence ...
	Patel, Krishane. - : Open Science Framework, 2022
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3	The influence of animacy on perspective-taking and word order during language production ...
	Brough, Jessica. - : Open Science Framework, 2022
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4	Boundaries in space and time: Iconic biases across modalities
	Kuhn, Jeremy; Geraci, Carlo; Schlenker, Philippe...
	In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03408801 ; Cognition, Elsevier, 2021, 210, pp.104596. ⟨10.1016/j.cognition.2021.104596⟩ (2021)
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5	Boundaries in space and time: Iconic biases across modalities
	Kuhn, Jeremy; Geraci, Carlo; Schlenker, Philippe...
	In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03509748 ; Cognition, Elsevier, 2021, 210, pp.104596. ⟨10.1016/j.cognition.2021.104596⟩ (2021)
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6	Injecting Inductive Biases into Distributed Representations of Text ...
	Prokhorov, Victor. - : Apollo - University of Cambridge Repository, 2021
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7	Children and Adults Use Linguistic Cues To Inform Pedagogical Preferences ...
	Bashyam, Sharanya. - : University of Chicago, 2021
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8	Vocalic Intrusions in Consonant Clusters in Child-Directed vs. Adult-Directed Speech ...
	Garmann, Nina Gram; Hansen, Pernille; Simonsen, Hanne Gram. - : Apollo - University of Cambridge Repository, 2021
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9	A Resident Morbidity and Mortality Conference Curriculum to Teach Identification of Cognitive Biases, Errors, and Debiasing Strategies
	Whitehead, Anne
	In: Publisher (2021)
	Abstract: Introduction: The morbidity and mortality (M&M) conference has long been a part of the education of residents of all specialties in the United States, yet its structure is variable across training programs. Recent literature has described the use of M&M as a forum for education in quality improvement methodology; however, a structure focusing on education in cognitive biases and errors has not been previously described in MedEdPORTAL. Methods: This structured M&M conference series called upon resident presenters and peers in the audience to examine cognitive biases and errors involved in specific patient cases. Associated materials included preparatory guidelines provided to faculty advisors and resident presenters, a presentation template used during the introductory session, and a handout used during the discussion portions of presentations. Results: During the 2019–2020 academic year, a total of 24 PGY 2 pediatrics residents presented M&M cases. They identified a mean of 3.7 (SD = 1.9) cognitive biases and/or errors per case and a mean of 1.7 (SD = 0.7) debiasing strategies per case. Peers in the audience were also successful in identifying potential biases and errors at play during presentations. Discussion: We found that through this M&M conference structure, residents were able to demonstrate the ability to identify cognitive errors and biases both within themselves and in peers. This provided an effective forum for the identification and discussion of debiasing strategies, even when the series was forced to transition to a virtual format due to the COVID-19 pandemic.
	Keyword: cognitive biases; morbidity and mortality; training programs
	URL: https://hdl.handle.net/1805/27941
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10	Using narrative to manipulate perceived mind and word order during language production ...
	Brough, Jessica. - : Open Science Framework, 2021
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11	Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
	Katsarou, Styliani. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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12	Vocalic Intrusions in Consonant Clusters in Child-Directed vs. Adult-Directed Speech
	Garmann, Nina Gram; Hansen, Pernille; Simonsen, Hanne Gram. - : Frontiers Media S.A., 2021. : Frontiers in Psychology, 2021
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13	Injecting Inductive Biases into Distributed Representations of Text
	Prokhorov, Victor. - : University of Cambridge, 2021. : Selwyn, 2021
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14	Cognitive biases in developing biased Artificial Intelligence recruitment system
	Soleimani, Melika; Intezari, Ali; Taskin, Nazim. - 2021
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15	Positive AI with Social Commonsense Models
	Sap, Maarten. - 2021
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16	A Data-driven Approach to Crosslinguistic Structural Biases
	Kramer, Alex; Liu, Zoey
	In: Proceedings of the Society for Computation in Linguistics (2021)
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17	Production and Substantive Bias in Phonological Learning
	Do, Youngah; Havenhill, Jonathan
	In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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18	Modeling the Acquisition of Phonological Interactions: Biases and Generalization
	Prickett, Brandon; Jarosz, Gaja
	In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
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19	A learning bias for word order harmony: evidence from speakers of non-harmonic languages
	Culbertson, Jennifer; Franck, Julie; Braquet, Guillaume...
	In: ISSN: 0010-0277 ; Cognition, Vol. 204 (2020) P. 104392 (2020)
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20	Processing of novel grammatical features during real-time second language production and comprehension
	Gardner, Qingyuan Liu. - : The University of Edinburgh, 2020
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