Schools are now using AI. This helps teachers work fast, but some people worry about students and trust.

現在學校正開始使用 AI。這能幫助教師提高工作效率，但有些人擔心學生的學習以及信任問題。

Many teachers use AI to make tests. But they worry that students do not think for themselves anymore. Most schools do not have clear rules for AI.

許多教師使用 AI 來出題。但他們擔心學生不再獨立思考。大多數學校都沒有明確的 AI 規範。

In universities, some people use AI to write and do not say it. Experts want new rules. They want to know if a human or a machine wrote the work.

在大學中，有些人使用 AI 寫作卻不對外說明。專家希望建立新規則，以確認作品是由人類還是機器撰寫的。

Some people say AI can make schools fair. But most people do not trust AI. Only 4% of people in Australia trust it.

有些人認為 AI 可以讓學校變得更公平。但大多數人不信任 AI。在澳洲，僅有 4% 的人信任 AI。

Schools are changing. They use AI, but they do not have good rules yet.

學校正在改變。雖然開始使用 AI，但尚未建立完善的規範。

Schools and universities are currently trying to integrate artificial intelligence into their systems. They are attempting to balance the benefits of efficiency with serious concerns about the loss of critical thinking skills and a decline in institutional trust.

目前學校與大學正嘗試將人工智慧整合到其系統中。他們試圖在提升效率的益處，以及對喪失批判性思考能力與機構信任度下降的嚴重憂慮之間取得平衡。

The use of generative AI in primary and higher education has caused a conflict between administrative convenience and teaching quality. According to an NPR/Ipsos survey, about 75% of K-12 teachers believe AI's impact is greater than any previous digital change. While 60% of these teachers use AI for administrative tasks, such as creating tests, many emphasize that these tools may lead to a decrease in students' ability to think critically. Furthermore, this problem is made worse by a lack of official guidance, as only 35% of teachers in AI-equipped schools say they have formal usage policies.

在小學與高等教育中使用生成式 AI，導致行政便利與教學品質之間產生衝突。根據 NPR/Ipsos 的調查，約 75% 的 K-12 教師認為 AI 帶來的影響比以往任何數位轉型都要大。雖然 60% 的教師使用 AI 處理行政任務（例如設計測驗），但許多人強調這些工具可能會導致學生批判性思考能力的下降。此外，由於缺乏官方指引，這個問題變得更加嚴重，因為在配備 AI 的學校中，僅有 35% 的教師表示擁有正式的使用政策。

In universities, the focus has shifted toward the need for transparency and verification. After a Western Sydney University official failed to disclose the use of AI in a public article, some experts called for third-party certification to prove that content was written by humans. Dr. Alan Finkel and other academics asserted that minimum standards are necessary to distinguish between using AI as a research assistant and using it inappropriately to write academic papers. Similarly, the National Tertiary Education Union argued that a lack of regulation creates a significant risk to the reputation of higher education.

在大學中，焦點已轉向對透明度與驗證的需求。在西悉尼大學一名職員於公開文章中未能披露使用 AI 後，部分專家呼籲採取第三方認證，以證明內容是由人類撰寫的。Alan Finkel 博士及其他學者主張，必須建立最低標準，以區分將 AI 作為研究助手與不恰當地用於撰寫學術論文。同樣地，國家高等教育聯盟（National Tertiary Education Union）認為缺乏監管會對高等教育的聲譽造成重大風險。

Beyond plagiarism, some argue that AI could actually improve fairness within the system. Proponents suggest that automated evaluation could reduce human error and identify problems more quickly. However, these benefits depend on the creation of strong ethical rules and data practices. Currently, there is a deep lack of trust; for example, data from the Office of the Australian Information Commissioner shows that only 4% of people trust AI, which explains why educators are more suspicious of assignments completed outside the classroom.

除了抄襲之外，有人認為 AI 實際上可以提高系統內的公平性。支持者建議，自動化評估可以減少人為錯誤並更快速地識別問題。然而，這些益處取決於是否建立了強有力的倫理準則與數據實作。目前，信任度極低；例如，澳洲資訊專員公署（Office of the Australian Information Commissioner）的數據顯示，僅有 4% 的人信任 AI，這解釋了為何教育工作者對在課堂之外完成的作業更加多疑。

The education sector is still in a transition period. It is adopting AI tools without having complete regulations in place, which has led to a growing gap in trust between students, teachers, and institutions.

教育領域仍處於過渡期。在尚未建立完善監管的情況下採用 AI 工具，導致學生、教師與機構之間的信任鴻溝日益擴大。

Educational institutions are currently navigating the systemic integration of artificial intelligence, balancing operational efficiencies against significant concerns regarding cognitive atrophy and the erosion of institutional trust.

教育機構目前正處於人工智慧的系統性整合階段，在運作效率與對認知能力衰退及機構信任侵蝕的重大擔憂之間尋求平衡。

The deployment of generative AI in K-12 and tertiary environments has precipitated a divergence between administrative utility and pedagogical integrity. Data from an NPR/Ipsos survey indicates that approximately 75% of K-12 educators perceive AI's influence as exceeding that of previous digital revolutions. While 60% of these practitioners utilize AI for administrative optimization—such as the generation of assessment materials—a significant plurality expresses concern that such tools facilitate a decline in students' critical thinking capabilities. This tension is further exacerbated by a perceived deficit in institutional guidance, with only 35% of teachers in AI-equipped schools reporting the existence of formal usage policies.

在K-12與高等教育環境中部署生成式AI，導致行政效用與教學誠信之間出現分歧。NPR/Ipsos的調查數據顯示，約75%的K-12教育工作者認為AI的影響力超過了之前的數位革命。雖然60%的從業人員利用AI進行行政優化——例如生成評估材料——但仍有相當多數的人擔心此類工具會導致學生批判性思考能力的下降。而機構指引的匱乏進一步加劇了這種緊張局勢，在配備AI的學校中，僅有35%的教師表示存在正式的使用政策。

In the tertiary sector, the discourse has shifted toward the necessity of rigorous verification and transparency. The non-disclosure of AI usage by a Western Sydney University official in a public commentary piece has served as a catalyst for calls for third-party certification of 'human-authored' content. Dr. Alan Finkel and other academics advocate for the establishment of minimum standards, suggesting a distinction between AI as a research assistant and its unacceptable use in drafting core scholarship. This sentiment is echoed by the National Tertiary Education Union, which posits that the absence of regulatory oversight presents a substantial reputational risk to higher education.

在高等教育領域，論述已轉向嚴格驗證與透明度的必要性。西悉尼大學一名官員在公開評論文章中未披露使用AI，促使人們要求對「人類創作」內容進行第三方認證。Alan Finkel博士及其他學者主張建立最低標準，建議區分將AI作為研究助手與不可接受的將其用於撰寫核心學術論文。國家高等教育工會也對此表示贊同，認為缺乏監管將給高等教育帶來巨大的聲譽風險。

Beyond the immediate concerns of plagiarism, there is a theoretical framework suggesting that AI could enhance systemic equity. Proponents argue that AI-enabled monitoring and automated evaluation could mitigate human error and identify operational vulnerabilities proactively. However, the realization of these benefits is contingent upon the establishment of robust governance and ethical data practices. Currently, the prevailing atmosphere is characterized by a deficit of trust; for instance, data from the Office of the Australian Information Commissioner reveals that only 4% of the population trusts AI, a sentiment that correlates with the increased suspicion educators hold toward out-of-class assignments.

除了對抄襲的直接擔憂外，有一套理論框架認為AI可以增強系統公平性。支持者認為，AI驅動的監控與自動化評估可以減少人為錯誤並主動識別運作漏洞。然而，這些益處的實現取決於是否建立了強有力的治理與倫理數據實踐。目前，普遍氛圍是以缺乏信任為特徵；例如，澳洲資訊專員公署的數據顯示，僅有4%的人口信任AI，這一情感與教育工作者對課外作業增加的懷疑相呼應。

The educational sector remains in a transitional state, characterized by the adoption of AI tools in the absence of comprehensive regulatory frameworks and a widening gap in trust between stakeholders.

教育界仍處於轉型狀態，其特徵是在缺乏全面監管框架的情況下採用AI工具，且利益相關者之間的信任差距日益擴大。