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Malicious Design in AIVR, Falsehood and Cybersecurity-oriented Immersive Defenses

机译:AIVR,虚假和以网络安全为导向的沉浸式防御的恶意设计

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Advancements in the AI field unfold tremendous opportunities for society. Simultaneously, it becomes increasingly important to address emerging ramifications. Thereby, the focus is often set on ethical and safe design forestalling unintentional failures. However, cybersecurity-oriented approaches to AI safety additionally consider instantiations of intentional malice - including unethical malevolent AI design. Recently, an analogous emphasis on malicious actors has been expressed regarding security and safety for virtual reality (VR). In this vein, while the intersection of AI and VR (AIVR) offers a wide array of beneficial cross-fertilization possibilities, it is responsible to anticipate future malicious AIVR design from the onset on given the potential socio-psycho-technological impacts. For a simplified illustration, this paper analyzes the conceivable use case of Generative AI (here deepfake techniques) utilized for disinformation in immersive journalism. In our view, defenses against such future AIVR safety risks related to falsehood in immersive settings should be transdisciplinarily conceived from an immersive co-creation stance. As a first step, we motivate a cybersecurity-oriented procedure to generate defenses via immersive design fictions. Overall, there may be no panacea but updatable transdisciplinary tools including AIVR itself could be used to incrementally defend against malicious actors in AIVR.
机译:AI Field的进步展开了社会的巨大机遇。同时,解决新出现的后果而越来越重要。因此,常规焦点是在伦理和安全的设计防止无意失败的情况下。然而,以网络安全为导向的AI安全方法另外考虑意外恶意的实例 - 包括不道德的恶毒AI设计。最近,关于虚拟现实(VR)的安全和安全性表达了对恶意演员的类似强调。在这静脉中,虽然AI和VR(AIVR)的交叉点提供了广泛的有益交叉施肥可能性,但由于潜在的社会心理学技术影响,它负责从发病中预测未来的恶意AIVR设计。对于简化的说明,本文分析了在沉浸式新闻中使用的生成AI(这里的DeepFake技术)的可想到用例。在我们看来,根据沉浸式环境中与虚假相关的未来AIVR安全风险的防御应该从沉浸式共建姿态进行跨主教。作为第一步,我们激励导向网络安全的程序,通过沉浸式设计小说产生防御。总的来说,可能没有Panacea,但可更新的跨学科工具包括AIVR本身可用于逐步防御AIVR中的恶意演员。

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