信息启示录还是杞人忧天--人工智能的误导和虚假信息究竟是怎么回事?从技术转向人类反应

IF 1.4 Q2 POLITICAL SCIENCE Politics & Policy Pub Date : 2024-06-06 DOI:10.1111/polp.12617
Mateusz Łabuz, Christopher Nehring
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引用次数: 0

摘要

生成式人工智能(AI)的兴起引发了一场关于其对错误信息和虚假信息影响的辩论。多年来关于认识论和信息启示录的末日景象最近受到质疑,之前的担忧被称为 "过度夸大"。这些现象主要是通过人工智能驱动的内容的数量和质量以及人工智能所拥有的个性化潜力等因素来分析的。我们认为,使用定量论据很有可能低估威胁,尤其是在所谓的检测挑战背景下。我们指出,这种论述受到我们对人工智能的数量、质量和个性化理解的狭隘概念化的影响。我们认为,世界末日式的愿景本质上是猜测性的,难以量化,而且有自我实现预言的迹象,但无视风险会阻碍针对人工智能驱动的虚假和错误信息采取适当的应对措施,从而对决策活动产生不利影响。我们建议进行范式转换,更多地关注社会对技术的反应,而不是技术属性。通过扩大对所分析现象的理解,我们指出,人工智能的潜力既被高估,也被低估,最重要的是仍被误解。2012."不确定性下的奇才:决策中的认知偏差、威胁评估和错误判断》。政治与政策》40(3):https://doi.org/10.1111/j.1747-1346.2012.00356.x.Robles, Pedro, and Daniel J. Mallinson.2023."Catching Up with AI: Pushing Toward a Cohesive Governance Framework." Politics & Policy 51(3).Politics & Policy 51(3):https://doi.org/10.1111/polp.12529.Veloso Meireles, Adriana.2024."Digital Rights in Perspective:互联网治理论坛辩论的演变"。Politics & Policy 52(1):12–32. https://doi.org/10.1111/polp.12571.
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Information apocalypse or overblown fears—what AI mis- and disinformation is all about? Shifting away from technology toward human reactions

The rise of generative artificial intelligence (AI) has ignited a debate about its effects on the mis- and disinformation landscape. The doomsday scenarios of epistemic and information apocalypse presented for many years are recently being questioned, and the previous fears are called “overblown.” These phenomena are analyzed mostly through the factors of quantity and quality of AI-powered content and the potential for personalization possessed by AI. We argue that using quantitative arguments carries a high risk of underestimating the threat, especially in the context of the so-called detection challenge. We point out that this discourse is affected by the narrow conceptualization of how we understand quantity, quality, and personalization with regard to AI. In our opinion, apocalyptic visions are speculative in nature, difficult to quantify, and carry signs of a self-fulfilling prophecy, but disregarding risks hinders appropriate countermeasures against AI-powered dis- and misinformation, which adversely affects policy-making activities. We propose a paradigm shift to focus more on social reactions to technology rather than technological attributes. By expanding the understanding of the analyzed phenomena, we indicate that the potential of AI is both overestimated and underestimated and above all—still misunderstood.

Related Articles

Norman, Emma R., and Rafael Delfin. 2012. “Wizards under Uncertainty: Cognitive Biases, Threat Assessment, and Misjudgments in Policy Making.” Politics & Policy 40(3): 369–402. https://doi.org/10.1111/j.1747-1346.2012.00356.x.

Robles, Pedro, and Daniel J. Mallinson. 2023. “Catching Up with AI: Pushing Toward a Cohesive Governance Framework.” Politics & Policy 51(3): 355–72. https://doi.org/10.1111/polp.12529.

Veloso Meireles, Adriana. 2024. “Digital Rights in Perspective: The Evolution of the Debate in the Internet Governance Forum.” Politics & Policy 52(1): 12–32. https://doi.org/10.1111/polp.12571.

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来源期刊
Politics & Policy
Politics & Policy POLITICAL SCIENCE-
CiteScore
2.50
自引率
23.10%
发文量
61
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