The Artificialization of Mind and World

Chaudhary, Mohammad Yaqub

doi:10.1111/zygo.12597

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Several analyses focus on the issue of Imago Dei; it is applied both to how we can understand the human condition when confronted with developments in AI coming close to the human mind, and to what extent Imago Dei interprets our intelligent creations, or whether personhood and what is associated with it can be attributed to machines too. Some studies point to a necessary revision of our theological anthropological categories, after observing the contrast between us and the machines (Barbour 1999; Herzfeld 2002, 2007; Brittain 2020); or the complex issue conceiving alterity in our relationship with these intelligent systems (Chaudhary 2020; Burdett 2020; La Parra 2021). The impression is that many things change when we consider these new arrivals or fresh developments and applications in AI; their status appears as ambivalent, or less clear, mid‐way between the mechanic thing and the real person able to interact and even to reveal some intention.…”

Section: Where We Are In the Theological Study Of Aimentioning

confidence: 99%

Artificial Intelligence and Theology: Looking for a Positive—but Not Uncritical—reception

Torró¹

2022

Zygon

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Theology and other human sciences present concerns against artificial intelligence (AI) that are often limited to ethical issues, as they appear as the most pressing problems and challenges derived from these new technologies. However, by reviewing the published literature, the article shows that theologians have ventured into broader areas, with a specific focus on the anthropological consequences of current technological advances. New developments and achievements in AI invite further exploration from a theological perspective, and they offer some opportunities and useful applications for theologians. The article moves from the ethical territory toward the more neutral but highly engaging dialogue between science, technology, and religion, their interactions and mutual enrichment. Within this transdisciplinary area, new insights are gained about the role a more committed theology can play in issues like designing the best approaches between religious faith and intelligent systems to achieve a sustainable and equitable future.

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Section: Where We Are In the Theological Study Of Aimentioning

confidence: 99%

Artificial Intelligence and Theology: Looking for a Positive—but Not Uncritical—reception

Torró¹

2022

Zygon

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“…All forms of XR (i.e. VR, MR and AG) lead to some form of ‘technologization of human perception’ (Chaudhary, 2019, p. 454). Arguably the most well know from of XR is VR, which is a ‘high‐end user‐computer interface that involves real‐time simulation and interactions through multiple sensorial channels’ (Burdea and Coiffet, 2003, p. 3).…”

Section: Extended Reality: Applicationsmentioning

confidence: 99%

Virtual, Augmented and Mixed Reality: What are the Benefits for SMEs?

Amuso

Poletti²,

Montibello³

2021

Global Policy

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Extended reality (XR) has the potential to be a game‐changer for SMEs. It can enhance competitiveness while supporting sustainable development and labour safety. The outbreak of COVID‐19 has further forced businesses to reflect on how technology might spur creativity and how innovation can affect their future survival. XR can facilitate product development, training, marketing and problem‐solving. We argue that policy should focus on increasing XR awareness in SMEs. Diffusion of XR is also contingent on R&D teams’ ability to exploit cultural assets to allow SMEs to take full advantage of their potential.

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“…Chaudhary M Y uses the background difference method to identify and detect moving targets. The advantage of this method is that it is not sensitive to light conversion and has a strong anti-noise ability [13]. The accuracy of target recognition can be guaranteed, but it is undesirable to reduce the real-time performance of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Fast Recognition Method of Football Robot’s Graphics From the VR Perspective

et al. 2020

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The purpose of this article is to identify football and related environmental variables through its VR images under the current situation where the vision system has become the only way for football robots to obtain the external environment, so as to improve the chances of winning the game. First of all, this article uses color filtering to enhance the football characteristics in the VR perspective, so as to distinguish the football from the off-field environment and shadows. The optimal threshold of the enhanced image is automatically determined by the Ostu method, so the image will not be affected by shadows during segmentation, and the contour of the image can be segmented. At the same time, using the humanoid medium-sized football game machine system as the platform, the relevant processing algorithms of the humanoid football robot front-view system are studied to realize the work of color image segmentation, edge extraction, straight line extraction, cross-line recognition and target post-recognition. PA-SIFT algorithm is used to quickly identify the graphics. Data verification results show that the recognition rate of the PA-SIFT algorithm can reach 96%, ensuring the real-time and feasibility of the algorithm. In addition, the divide-and-conquer algorithm and the related processing algorithm of the vision system are combined to determine the central area of the image, so that the algorithm is not affected by the external environment, and the algorithm is robust and can improve actual competition.

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The Artificialization of Mind and World

Cited by 3 publications

References 35 publications

Artificial Intelligence and Theology: Looking for a Positive—but Not Uncritical—reception

Artificial Intelligence and Theology: Looking for a Positive—but Not Uncritical—reception

Virtual, Augmented and Mixed Reality: What are the Benefits for SMEs?

Fast Recognition Method of Football Robot’s Graphics From the VR Perspective

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