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古納德斯參議員挑戰聯邦人工智慧自我監管,倡導州級監督

紐約州參議員安德魯古納德斯 (Andrew Gounardes) 批評聯邦政府對人工智慧產業自願自我監管的依賴,這表明政府將推動更嚴格的州級安全和透明度指令。

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Source-provided image accompanying Senator Gounardes challenges federal AI self-regulation, advocates for state-level oversight
來源參考來源記錄
出版商
nysenate.gov
來源連結
nysenate.govhttps://www.nysenate.gov/newsroom/press-releases/2026/andrew-gounardes/sen-gounardes-ai-corporations-cant-regulate
來源類型
連結來源-主要來源狀態尚未確定。
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關鍵術語

人工智慧治理
指導人工智慧如何在社會中發展和使用的政策、標準和監督機制。
護欄
限制不安全或不必要的模型行為的規則、檢查和控制。
人工智慧安全
該領域專注於減少人工智慧系統中的有害行為、故障和誤用風險。
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發生了什麼事

New York State Senator Andrew Gounardes issued a formal statement on September 30, 2026, rejecting the Trump administration's recent announcement that major technology firms have agreed to 'self-police' their AI development. Gounardes argued that voluntary industry standards are insufficient to address the risks posed by frontier AI models, such as potential assistance in bioweapon creation or automated criminal activity. He stated that if the federal government abdicates its regulatory role, New York will continue to pursue its own legislative framework to enforce safety and transparency standards.

Senator Gounardes' response follows a federal announcement that top tech firms have committed to self-policing their AI development. Gounardes characterized this approach as inadequate, comparing it to 'asking the fox to guard the henhouse.'

The Senator emphasized that frontier AI models present life-or-death risks, including the potential for AI to assist in the development of bioweapons or facilitate automated criminal activity.

Gounardes highlighted his previous legislative success with the Responsible and Education (RAISE) Act, which mandates safety protocols for large AI companies. He indicated that he will continue to push for additional state-level laws to fill the perceived void left by federal inaction.

來源詳情: nysenate.gov ↗

為什麼這很重要

The statement highlights a growing friction between federal and state approaches to . While the federal administration favors voluntary industry accords, Gounardes is positioning New York as a regulatory counterweight. This conflict is significant because it creates a fragmented legal landscape for AI developers, who may face a patchwork of state-specific safety audits and compliance requirements. The senator's focus on 'frontier' models suggests that state-level efforts will specifically target the most powerful and potentially dangerous AI systems, regardless of federal policy shifts. This development underscores the ongoing debate over whether is best managed through industry-led initiatives or mandatory, government-enforced .

The divergence between federal voluntary guidelines and state-level mandatory regulation creates significant uncertainty for AI developers. Companies operating in New York may soon be required to comply with strict safety and transparency standards that are not mirrored at the federal level.

By advocating for independent third-party audits, Gounardes is pushing for a level of external oversight that the current federal 'self-policing' model explicitly avoids. This sets the stage for a potential legal and political showdown over the scope of state authority in regulating emerging technologies.

The focus on 'frontier' models suggests that the debate is narrowing toward the most advanced systems, which are often developed by a small number of large corporations. This makes the legislative outcome in states like New York a critical factor for the future of AI development and deployment in the United States.

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接下來看什麼

Observers should monitor the progress of Gounardes' pending legislative proposals, specifically the bills requiring independent third-party auditing of frontier AI models and the strengthening of safety frameworks against catastrophic outcomes like cyberattacks on critical infrastructure. It remains to be seen whether these state-level efforts will gain enough momentum to pass or if they will face legal challenges regarding federal preemption. Additionally, the impact of these state-level mandates on the operations of major AI firms within New York will be a key indicator of the effectiveness of state-led regulation in the absence of federal consensus.

The status of New York Senate bills S10373 (independent third-party auditing) and S10456 (strengthening safety frameworks) will be the primary indicator of the state's legislative trajectory.

Potential industry pushback against these state-level mandates is expected, as companies may argue that such regulations stifle innovation or conflict with federal policy.

The extent to which other states follow New York's lead in implementing mandatory laws will determine whether a national standard emerges from the bottom up or if the industry remains subject to a fragmented regulatory environment.

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