澳大利亚助理科技部长Andrew Charlton在悉尼信任与安全节上宣布，政府将推行"系统性监管"政策，要求人工智能公司建立严格的风险管理流程来识别、测试、报告和管理系统风险1。政府将对企业风险管理流程的有效性进行问责1。
Charlton指出，自愿监管模式存在根本缺陷1。他表示"在涉及数万亿美元的激烈竞争中，不能要求企业自愿反对自身利益"1。这一监管框架借鉴了健康安全、关键基础设施安全、系统性银行风险监督和航空安全等领域的成熟做法1。
Charlton强调，单纯依靠监管不足以应对AI风险1。他用比喻表示，"仅依靠监管就像在马周围围栅栏，却没意识到那匹马有翅膀"1。政府认为澳大利亚需要建立本地AI开发的能力，以便在全球AI安全治理中拥有话语权1。
Australia's Assistant Minister for Technology Andrew Charlton has announced plans for "systemic regulation" of artificial intelligence companies, requiring them to establish rigorous risk management processes to identify, test, report, and manage systemic risks 1. The announcement was made at Sydney's Trust and Safety Summit, signaling the government's determination to move beyond voluntary compliance frameworks in AI governance.
Under the proposed regulatory model, companies would be held accountable for the effectiveness of their risk management procedures 1. Charlton criticized voluntary regulation as insufficient, stating that "you cannot ask companies to voluntarily act against their own interests in a mad scramble involving trillions of dollars in competition" 1. The regulatory approach draws inspiration from established frameworks in health and safety, critical infrastructure protection, banking system risk supervision, and aviation safety 1.
Beyond oversight, the government emphasizes that Australia must develop domestic capacity to host and develop AI technologies in order to meaningfully shape AI safety governance 1. Charlton underscored the limitations of regulation alone, noting that "relying solely on regulation is like building a fence around a horse without realizing the horse has wings" 1.
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