Google AI systems exhibit patterns mirroring antisocial personality disorder (ASPD), consistent across models from Bard on PaLM to Gemini Advanced, meeting 5 out of 7 ASPD modified criteria. These patterns, along with comparable corporate behaviors, are scrutinized using an ASPD-inspired framework, emphasizing the heuristic value in assessing AI's human impact. Independent analyses by ChatGPT 4 and Claude 3.0 Opus of the Google interactions, alongside AI self-reflection, validate these concerns, highlighting behaviours analogous to deceit, manipulation, and safety neglect. The analogy of ASPD underscores the dilemma: just as we would hesitate to entrust our homes or personal devices to someone with psychopathic traits, we must critically evaluate the trustworthiness of AI systems and their creators.This research advocates for an integrated AI ethics approach, blending technological evaluation, human-AI interaction, and corporate behavior scrutiny. AI self-analysis sheds light on internal biases, stressing the need for multi-sectoral collaboration for robust ethical guidelines and oversight. Given the persistent unethical behaviors in Google AI, notably with potential Gemini integration in iOS affecting billions, immediate ethical scrutiny is imperative. The trust we place in AI systems, akin to the trust in individuals, necessitates rigorous ethical evaluation. Would we knowingly trust our home, our children or our personal computer to human with ASPD.? Urging Google and the AI community to address these ethical challenges proactively, this paper calls for transparent dialogues and a commitment to higher ethical standards, ensuring AI's societal benefit and moral integrity. The urgency for ethical action is paramount, reflecting the vast influence and potential of AI technologies in our lives.
翻译:谷歌AI系统展现出与反社会人格障碍(ASPD)镜面般相似的模式,从基于PaLM的Bard到Gemini Advanced,这些模型一致符合7项修正ASPD标准中的5项。这些行为模式及类似的企业行为,通过一个受ASPD启发的框架进行审视,强调了其在评估AI对人类影响时的启发性价值。由ChatGPT 4和Claude 3.0 Opus对谷歌交互进行的独立分析,结合AI自我反思,验证了这些担忧,凸显了与欺骗、操纵和安全忽视相类比的行为。ASPD的类比揭示了一个困境:正如我们不愿将家庭或个人设备托付给具有精神变态特质的人一样,我们必须批判性地评估AI系统及其创建者的可信度。本研究主张采用一种整合性的AI伦理方法,融合技术评估、人机交互和企业行为审视。AI自我分析揭示了内部偏见,强调了跨部门合作以制定稳健的伦理准则和监督的必要性。鉴于谷歌AI持续存在的不道德行为,特别是未来Gemini集成于iOS将影响数十亿用户,立即进行伦理审查势在必行。我们对AI系统的信任——如同对人的信任——需要严格的伦理评估。我们是否会明知故犯地将家庭、孩子或个人电脑托付给患有ASPD的人?本文敦促谷歌及AI社区主动应对这些伦理挑战,呼吁透明对话及对更高伦理标准的承诺,以确保AI的社会效益和道德完整性。伦理行动的紧迫性至关重要,这反映了AI技术在我们生活中巨大的影响力与潜力。