Art in the Age of Machine Intelligence

Arcas, Blaise Agüera y

doi:10.3390/arts6040018

Cited by 31 publications

(17 citation statements)

References 7 publications

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“…Moreover, different results have also been found across domains of trust: for example, Rhodes et al (2013) found that judgments of sexual unfaithfulness, but not trustworthiness, were accurate in distinguishing unfaithful men. The claim that facial trustworthiness impressions are accurate is therefore debated, both in the scientific literature (Bonnefon et al, 2015; Todorov, Funk, et al, 2015) and in the public eye (Agüera y Arcas et al, 2017; Owano, 2016).…”

mentioning

confidence: 99%

Accuracy in Facial Trustworthiness Impressions: Kernel of Truth or Modern Physiognomy? A Meta-Analysis

Foo

Sutherland

Burton

et al. 2021

Pers Soc Psychol Bull

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Being able to identify trustworthy strangers is a critical social skill. However, whether such impressions are accurate is debatable. Critically, the field currently lacks a quantitative summary of the evidence. To address this gap, we conducted two meta-analyses. We tested whether there is a correlation between perceived and actual trustworthiness across faces, and whether perceivers show above-chance accuracy at assessing trustworthiness. Both meta-analyses revealed significant, modest accuracy (face level, r = .14; perceiver level, r = .27). Perceiver-level effects depended on domain, with aggressiveness and sexual unfaithfulness having stronger effects than agreeableness, criminality, financial reciprocity, and honesty. We also applied research weaving to map the literature, revealing potential biases, including a preponderance of Western studies, a lack of “cross-talk” between research groups, and clarity issues. Overall, this modest accuracy is unlikely to be of practical utility. Moreover, we strongly urge the field to improve reporting standards and generalizability of the results.

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mentioning

confidence: 99%

Accuracy in Facial Trustworthiness Impressions: Kernel of Truth or Modern Physiognomy? A Meta-Analysis

Foo

Sutherland

Burton

et al. 2021

Pers Soc Psychol Bull

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“…"From today, painting is dead!" -Paul Delaroche, painter, at a demonstration of the daguerreotype in 1839 1 For lessons from the past about AI and art, perhaps no invention is more significant than photography. 2 Prior to the invention of photography, realistic images of the world could only be produced by artists.…”

Section: How Photography Became An Artformmentioning

confidence: 99%

“…The historical information from this section is distilled from two texts: Scharf[60] and Rosenblum[57] 2. This connection has been made previously[34,1], but I explore it much more thoroughly here.…”

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confidence: 99%

Can Computers Create Art?

Hertzmann

2018

Arts

126

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This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized. * This essay expresses my own opinions and not those of my employer. This is a preprint version of an essay to appear in the journal Arts, Special Issue on The Machine as Artist (for the 21st Century)

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“…Sự thay đổi lớn sẽ nằm ở mối quan hệ giữa máy móc và con người: người nghệ sĩ không tự tay thực hiện công việc sáng tạo mà thông qua thuật toán để sáng tạo [10], hay khi máy móc có khả năng đem đến những đóng góp bất ngờ như một người đồng nghiệp [8]. Đồng thời, trí thông minh nhân tạo cũng vượt xa khỏi ranh giới của một công cụ vì nó là một dạng trí thông minh [11], và sử dụng trí thông minh nhân tạo cũng tương tự việc dạy máy móc suy nghĩ một cách nhân văn [12].…”

Section: Nguồn: Pexelsunclassified

AI và nghệ thuật: góc nhìn từ Việt Nam

Ho¹

2018

Preprint

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Art in the Age of Machine Intelligence

Cited by 31 publications

References 7 publications

Accuracy in Facial Trustworthiness Impressions: Kernel of Truth or Modern Physiognomy? A Meta-Analysis

Accuracy in Facial Trustworthiness Impressions: Kernel of Truth or Modern Physiognomy? A Meta-Analysis

Can Computers Create Art?

AI và nghệ thuật: góc nhìn từ Việt Nam

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