人工智能的认知和接受:一个多维度的研究

Michael Gerlich
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引用次数: 1

摘要

在这项综合研究中,来自美国、英国、德国和瑞士的1389名学者的见解揭示了对人工智能(AI)的多方面看法。人工智能迅速融入日常生活,有望提高效率和创新。欧盟委员会制定的“值得信赖的人工智能原则”强调数据保护、安全性和明智的治理,是人工智能被广泛接受的关键。社会对人工智能影响的解读与可信度、相关风险和使用/接受度等因素之间出现了相关性。那些洞悉人工智能威胁的人往往对其未来的结果持悲观态度,而支持者则认识到人工智能的变革潜力。这些倾向与信任和人工智能的感知独特性产生了共鸣。因此,信任、应用广度和感知漏洞等因素塑造了公众共识,将人工智能描绘成人类的福或祸。该研究还强调了公众对人工智能发展的不同看法,强调了在两极分化的叙述中,观点的可塑性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptions and Acceptance of Artificial Intelligence: A Multi-Dimensional Study
In this comprehensive study, insights from 1389 scholars across the US, UK, Germany, and Switzerland shed light on the multifaceted perceptions of artificial intelligence (AI). AI’s burgeoning integration into everyday life promises enhanced efficiency and innovation. The Trustworthy AI principles by the European Commission, emphasising data safeguarding, security, and judicious governance, serve as the linchpin for AI’s widespread acceptance. A correlation emerged between societal interpretations of AI’s impact and elements like trustworthiness, associated risks, and usage/acceptance. Those discerning AI’s threats often view its prospective outcomes pessimistically, while proponents recognise its transformative potential. These inclinations resonate with trust and AI’s perceived singularity. Consequently, factors such as trust, application breadth, and perceived vulnerabilities shape public consensus, depicting AI as humanity’s boon or bane. The study also accentuates the public’s divergent views on AI’s evolution, underlining the malleability of opinions amidst polarising narratives.
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