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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 ...
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The relationship between implicit associations and the social priming of speech ...
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Strategies for Raising Low Test Scores of Minority Students
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In: Masters Theses (2021)
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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
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A Cross-Species Examination of Pro-White Color Bias Using a Novel Implicit Association Test
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In: UNF Faculty Publications (2021)
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Detection of Gender-Biased Items in the Peabody Picture Vocabulary Test
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In: Languages ; Volume 4 ; Issue 2 (2019)
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How do context awareness and listener experience taking the SPEAK test influence perceptions of non-native speaking proficiency?
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In: http://rave.ohiolink.edu/etdc/view?acc_num=miami1525275325263283 (2018)
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From Big Data to Deep Learning: A Leap Towards Strong AI or ‘Intelligentia Obscura’?
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In: Big Data and Cognitive Computing ; Volume 2 ; Issue 3 (2018)
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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.
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Keyword:
algorithmic accountability; artificial intelligence; automation; autonomy; bias; deep learning; ELIZA effect; technology assessment; Turing test
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URL: https://doi.org/10.3390/bdcc2030016
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Contextualized bilingualism among adolescents from four different ethnic groups in Indonesia
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Critical Discourse Analysis: The Impact the Ontario Secondary School Literacy Test has on ESL Teachers’ Teaching Practices and Work Environments ...
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An Investigation of the Link Between Nonverbal Aptitude and Academic Achievement
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In: FIU Electronic Theses and Dissertations (2016)
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Language effects in international testing: the case of PISA 2006 science items
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Language effects in international testing: The case of PISA 2006 science items
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In: Symplectic Elements at Oxford ; Added by author ; ORA review team (2016)
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Language Acquisition in Children with Autism in the Arab World: Evidence from Processes of Phonology, Semantics, Syntax and Pragmatics ...
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Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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