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1
Cross-cultural cognitive assessment of dementia: a meta-analysis of the impact of illiteracy on dementia screening and an evaluation of a transcultural short-term memory assessment ...
Maher, Caragh. - : The University of Edinburgh, 2021
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2
The relationship between implicit associations and the social priming of speech ...
McLaughlin, Drew. - : Open Science Framework, 2021
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3
Strategies for Raising Low Test Scores of Minority Students
In: Masters Theses (2021)
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4
Cross-cultural cognitive assessment of dementia: a meta-analysis of the impact of illiteracy on dementia screening and an evaluation of a transcultural short-term memory assessment
Maher, Caragh. - : The University of Edinburgh, 2021
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5
A Cross-Species Examination of Pro-White Color Bias Using a Novel Implicit Association Test
In: UNF Faculty Publications (2021)
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6
Detection of Gender-Biased Items in the Peabody Picture Vocabulary Test
In: Languages ; Volume 4 ; Issue 2 (2019)
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7
How do context awareness and listener experience taking the SPEAK test influence perceptions of non-native speaking proficiency?
In: http://rave.ohiolink.edu/etdc/view?acc_num=miami1525275325263283 (2018)
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8
From Big Data to Deep Learning: A Leap Towards Strong AI or ‘Intelligentia Obscura’?
In: Big Data and Cognitive Computing ; Volume 2 ; Issue 3 (2018)
Abstract: Astonishing progress is being made in the field of artificial intelligence (AI) and particularly in machine learning (ML). Novel approaches of deep learning are promising to even boost the idea of AI equipped with capabilities of self-improvement. But what are the wider societal implications of this development and to what extent are classical AI concepts still relevant? This paper discusses these issues including an overview on basic concepts and notions of AI in relation to big data. Particular focus lies on the roles, societal consequences and risks of machine and deep learning. The paper argues that the growing relevance of AI in society bears serious risks of deep automation bias reinforced by insufficient machine learning quality, lacking algorithmic accountability and mutual risks of misinterpretation up to incrementally aggravating conflicts in decision-making between humans and machines. To reduce these risks and avoid the emergence of an intelligentia obscura requires overcoming ideological myths of AI and revitalising a culture of responsible, ethical technology development and usage. This includes the need for a broader discussion about the risks of increasing automation and useful governance approaches to stimulate AI development with respect to individual and societal well-being.
Keyword: algorithmic accountability; artificial intelligence; automation; autonomy; bias; deep learning; ELIZA effect; technology assessment; Turing test
URL: https://doi.org/10.3390/bdcc2030016
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9
Contextualized bilingualism among adolescents from four different ethnic groups in Indonesia
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10
Cross-age effects on forensic face construction
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11
Critical Discourse Analysis: The Impact the Ontario Secondary School Literacy Test has on ESL Teachers’ Teaching Practices and Work Environments ...
Singh, Sukhdaiyal. - : Graduate Studies, 2016
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12
An Investigation of the Link Between Nonverbal Aptitude and Academic Achievement
In: FIU Electronic Theses and Dissertations (2016)
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13
Language effects in international testing: the case of PISA 2006 science items
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14
Language effects in international testing: The case of PISA 2006 science items
In: Symplectic Elements at Oxford ; Added by author ; ORA review team (2016)
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15
Language Acquisition in Children with Autism in the Arab World: Evidence from Processes of Phonology, Semantics, Syntax and Pragmatics ...
Jarrar, Haneen. - : Goldsmiths, University of London, 2015
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16
Assessing the language skills of children from culturally and linguistically diverse backgrounds: the expressive vocabulary performance of Singaporean English-Mandarin bilingual pre-schoolers
In: International journal of speech language pathology. - Abingdon : Informa Healthcare 14 (2012) 3, 281-291
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17
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
In: DTIC (2012)
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18
Validity and fairness
In: Language testing. - London : Sage 27 (2010) 2, 177-182
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19
How do we go about investigating test fairness?
In: Language testing. - London : Sage 27 (2010) 2, 147-170
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20
Test fairness and Toulmin's argument structure
In: Language testing. - London : Sage 27 (2010) 2, 183-189
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