Acceptance and Fear of Artificial Intelligence: associations with personality in a German and a Chinese sample

Sindermann, Cornelia; Yang, Haibo; Elhai, Jon D.; Yang, Shixin; Ling, Quan; Mei, Li; Montag, Christian

doi:10.1007/s44202-022-00020-y

Cited by 33 publications

(31 citation statements)

References 38 publications

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“…In line with Sindermann et al (2021), general trust in AI as assessed by the ATAI scale is robustly linked to trusting products with in-built AI, indicating a high external validity of the construct. Although previous observations suggest that the ATAI scales are associated with individual variations in behavioral tendencies such as neuroticism (Sindermann et al, 2022), the present study did not observe a relationship between trust in humans and trust in AI in general or trust in AI products, respectively. Further examination of structural brain data revealed that variations in trust in AI were not significantly associated with individual variations in brain structure.…”

Section: Discussioncontrasting

confidence: 99%

Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging

Montag

Klugah‐Brown

Zhou

et al. 2023

Personality Neuroscience

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The present study examines whether self-reported trust in humans and self-reported trust in [(different) products with built-in] artificial intelligence (AI) are associated with one another and with brain structure. We sampled 90 healthy participants who provided self-reported trust in humans and AI and underwent brain structural magnetic resonance imaging assessment. We found that trust in humans, as measured by the trust facet of the personality inventory NEO-PI-R, and trust in AI products, as measured by items assessing attitudes toward AI and by a composite score based on items assessing trust toward products with in-built AI, were not significantly correlated. We also used a concomitant dimensional neuroimaging approach employing a data-driven source-based morphometry (SBM) analysis of gray-matter-density to investigate neurostructural associations with each trust domain. We found that trust in humans was negatively (and significantly) correlated with an SBM component encompassing striato-thalamic and prefrontal regions. We did not observe significant brain structural association with trust in AI. The present findings provide evidence that trust in humans and trust in AI seem to be dissociable constructs. While the personal disposition to trust in humans might be “hardwired” to the brain’s neurostructural architecture (at least from an individual differences perspective), a corresponding significant link for the disposition to trust AI was not observed. These findings represent an initial step toward elucidating how different forms of trust might be processed on the behavioral and brain level.

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Section: Discussioncontrasting

confidence: 99%

Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging

Montag

Klugah‐Brown

Zhou

et al. 2023

Personality Neuroscience

Self Cite

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“…Fear and anxiety are much studied in psychology, hence research on AI anxiety is often conducted by psychologists in the context of different personality traits [109], fear of loneliness, of drone use, of autonomous vehicles, and of being unemployed, all of it being elevated with media exposure to science fiction [110][111][112][113].…”

Section: Fear Of Ai (Ai Anxiety)mentioning

confidence: 99%

Identity of AI

Devedžić

2022

Discov Artif Intell

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With the explosion of Artificial Intelligence (AI) as an area of study and practice, it has gradually become very difficult to mark its boundaries precisely and specify what exactly it encompasses. Many other areas of study are interwoven with AI, and new research and development topics that require interdisciplinary approach frequently attract attention. In addition, several AI subfields and topics are home to long-time controversies that give rise to seemingly never-ending debates that further obfuscate the entire area of AI and make its boundaries even more indistinct. To tackle such problems in a systematic way, this paper introduces the concept of identity of AI (viewed as an area of study) and discusses its dynamics, controversies, contradictions, and opposing opinions and approaches, coming from different sources and stakeholders. The concept of identity of AI emerges as a set of characteristics that shape up the current outlook on AI from epistemological, philosophical, ethical, technological, and social perspectives.

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“…First, examining the impact of psychological factors shows that individuals' attitude towards AI is infuenced by their personality traits [73]. In [89], it was shown that fear and distrust towards AI are associated with neuroticism, while openness and agreeableness are related to acceptance of AI. Additionally, personal values have been shown to impact artists' attitude towards AI co-creation in creative tasks.…”

Section: Background and Related Work 21 Factors Infuencing Perception...mentioning

confidence: 99%

“…Broadly, several factors are known to impact people's acceptance of AI. Individuals' personality traits can induce fear and distrust towards AI [73,89]. Additionally, cultural factors [74] such as fear of unemployment due to AI deployment [49,63]), portrayals of AI in popular culture [5,6], degree of familiarity with modern AI technologies [76], and expectations of privacy in interaction [62] all infuence perceptions of AI.…”

Section: Introductionmentioning

confidence: 99%

From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

Biermann

Ning

Yoon

2022

Designing Interactive Systems Conference

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Modern large-scale language models approach the quality of humanlevel writing. This promises the advent of AI writing companions performing AI-led writing under human control, surpassing traditional writing tools limited to revision and ideation supports. However, human-AI co-writing may endanger writers' control, autonomy, and ownership by overstepping co-creative boundaries. Our design workbook study with 7 hobbyists and 13 professional writers elicited three sets of primary barriers to the adoption of human-AI co-writing. Storywriters desire retaining control over writing rather than letting AI take the lead when they (1) prioritize emotional values in turning ideas into words over the productivity of AI-generated writing; (2) have high self-confdence and distrust AI in challenging sub-tasks (e.g., creating characters and dialogue); and (3) expect the AI control mechanism to mismatch their writing strategies. We lay the groundwork for AI companions that respect storywriters' personal values and writing methods. CCS CONCEPTS• Human-centered computing → Empirical studies in interaction design; • Computing methodologies → Natural language generation; • Applied computing → Arts and humanities.

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Acceptance and Fear of Artificial Intelligence: associations with personality in a German and a Chinese sample

Cited by 33 publications

References 38 publications

Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging

Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging

Identity of AI

From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

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