当硅谷高喊"快速行动，打破一切"，谁来守住人类价值观的底线？多伦多都会大学教务长在本文中明确指出：人工智能的崛起不是一个技术问题，而是一场关于人类命运的深刻叩问。以利润为驱动的科技企业，在结构性激励机制下，既无意愿、也无能力对AI进行持续的伦理审议。而这正是大学的历史时刻——以多元视角揭示单一学科和商业逻辑无法看见的联系与后果，以"应该做什么"约束"能做什么"。

在我担任大学教务长的第一个月，一位同事说了一句让我至今难忘的话：人工智能不是一个关于技术的故事，而是一个关于人类的故事。

In my first month as a university provost, a colleague said something that has stayed with me: artificial intelligence isn't a technology story, it's a humanity story.

provost在大学语境中指"教务长"，负责学术事务的高级行政职务
stayed with me固定短语，意为"让我念念不忘、一直铭记在心"
humanity此处不是"人道主义"，而是指"人类整体"或"人的本质属性"，与 technology 形成概念上的对照

从那天起，这一区分所蕴含的力量只增未减。

From that day, the power of such a distinction has only amplified.

distinction此处指"区分、差别"，强调将AI定性为"人类故事"而非"技术故事"这一概念上的划分
amplified本义为"放大（声音）"，此处引申为"（影响力、意义）不断增强、愈加深远"

这一区分重新界定了人工智能的本质——它不是一个有待优化的工具，而是一股将深刻影响我们思考、工作、学习以及相互理解方式的力量。

It reframes AI not as a tool to be optimized, but as a force that will shape how we think, work, learn and understand one another.

reframes意为"重新框架、重新定义"
optimized意为"优化、使达到最佳状态"，在此暗示将AI视为纯粹技术工具的局限性视角
force此处不是"武力"，而是"力量、驱动力"

对本文读者而言，这一区分揭示了一个我们无法再回避的结论：大学必须在社会如何应对人工智能的问题上发挥核心作用。

To readers of this article, it exposes a consequence we can no longer avoid: universities must play a central role in how society responds.

exposes此处意为"揭示、揭露"，指将某个被忽视的真相呈现出来，而非"曝光"的负面含义
consequence此处指"必然结论、结果"，而非单纯的"负面后果"，语气较为正式
play a central role固定短语，意为"发挥核心/中心作用"

在多伦多都会大学（TMU），与许多院校一样，我们一直以熟悉的方式应对人工智能：通过制定战略、组建专项工作组、成立委员会、召开会议以及建立政策框架，为其使用设置边界。

At Toronto Metropolitan University (TMU), as at many institutions, we've been approaching AI in familiar ways: through strategies, task forces, committees, conferences and policy frameworks designed to put guardrails around its use.

task forces意为"专项工作组、特别小组"
policy frameworks意为"政策框架"
guardrails本义为"护栏"，此处引申为"约束机制、防护边界"，指防止技术滥用的规范措施

这些努力固然必要，却不足以应对高等教育所面临的最深层挑战——人工智能大型语言模型所引发的伦理、社会与人文影响的巨大规模。

While necessary, such efforts are not sufficient in meeting the deepest challenge higher education has ever faced — the scale of ethical, social and human implicationsstemming from AI's large language models.

sufficient意为"足够的、充分的"，与前文的 necessary 构成对比，强调"必要但不充分"这一逻辑关系
implications意为"影响、牵连"
stemming from固定短语，意为"源于、起源于"，表示因果关系，语气正式
large language models专业术语，即"大型语言模型"，指GPT、Claude等以海量数据训练的AI系统，是当前AI浪潮的核心技术形态

过去，大学曾历经工业革命、文化变革、新媒体兴起、社会规范更迭以及政府施政重心的转变，并在其中找到了自己的方向。

In the past, universities have navigated industrial revolutions, cultural upheavals, new media, shifting social norms and evolving government priorities.

navigated本义为"导航"，此处引申为"应对、在复杂局面中找到出路"
upheavals意为"剧烈动荡、大变革"
shifting意为"持续变化的"，修饰 social norms

但人工智能发展迅猛、难以看透，充满未知——它是一场在黑暗中发生的颠覆。

But AI is fast-moving, opaque and filled with unknowns — it is disruption in the dark.

opaque本义为"不透明的"，此处引申为"难以理解的、缺乏透明度的"
disruption in the dark作者自创的表达，意为"在未知与不透明中发生的颠覆性变革"

它所产生的影响展开的速度，远超我们集体理解它的能力，更遑论对其进行有效治理。

Its impacts are unfolding faster than our collective ability to understand them, let alonegovern them.

unfolding 意为"逐步展开、呈现"
collective 意为"集体的、共同的"
let alone 固定短语，意为"更别说、遑论"，用于强调后者比前者更难实现
govern 此处意为"治理、管控"

这是所有机构共同面临的挑战，正因如此，我呼吁加拿大各大学携手合作，共同推动人工智能朝着符合公共利益的方向发展。

It's a challenge for all institutions, and that's why I'm calling forcollective leadership across Canadian universities to come together and work on AI in the public interest.

calling for固定短语，意为"呼吁、倡议"
collective leadership意为"集体领导力"
in the public interest固定短语，意为"符合公共利益、为了公众利益"

大学在这一时刻之所以不可或缺，正是因为其视角的多元性——工程师、历史学家、社会学家、哲学家、心理学家、艺术家、科学家、法学学者与技术专家，都能为人工智能的讨论带来不可或缺的视角、问题与洞见。

What makes universities so necessary in this moment is their diversity of perspectives — engineers, historians, sociologists, philosophers, psychologists, artists, scientists, legal scholars and technologists all bring essential lenses, questions, and insights to the AI conversation.

diversity of perspectives意为"视角的多元性"
lenses本义为"镜头、透镜"，此处比喻"看待问题的视角和分析框架"
insights意为"深刻见解、洞察"

携手合作，他们能够揭示出任何单一学科——乃至任何一家企业——都无法独立发现的内在联系与潜在后果。

Together, they can illuminate connections and consequences that no single discipline — or corporation — can see on its own.

illuminate本义为"照亮"，此处引申为"阐明、揭示"
discipline此处指"学科、学术领域"，而非"纪律"

这项工作远远超出了教学法或学术诚信层面的问题。

This work goes far beyond questions of pedagogy or academic integrity.

pedagogy专业术语，意为"教学法、教育学"
academic integrity意为"学术诚信"，指在学术研究和学习中诚实公正的行为准则，包括不抄袭、不作弊等，是高校管理中的核心概念

它关乎的是：在自动化时代，如何守护人类的自主性、尊严与判断力。

It is about safeguardinghuman agency, dignity and judgment in an age of automation.

safeguarding意为"保障、守护"
human agency意为"人的主体性、自主能动性"
automation意为"自动化"，此处泛指AI和机器替代人类决策与劳动的整体趋势

守护诚信与公平

在多伦多都会大学，我们已开始履行这一责任，坚持以一种以人为本、以伦理为根基的方式来使用和研究人工智能。

At TMU, we've started to meet this responsibility by insisting on a human, ethically grounded approach to AI's use and study.

insisting on固定短语，意为"坚持、坚决要求"
ethically grounded意为"以伦理为根基的"

这意味着将人工智能素养置于优先地位，使学生能够以批判性和负责任的态度与这些技术打交道。

This means prioritizing AI literacy so that students engage with these technologies critically and responsibly.

AI literacy意为"人工智能素养"，指理解、评估和负责任地使用AI技术的综合能力，类比"媒体素养（media literacy）"
critically意为"批判性地"
responsibly意为"负责任地"

这意味着建立清晰的途径以实现公平获取，确保人工智能工具对所有学生开放且易于理解，而不仅仅是那些有能力自行寻找资源的学生。

It means establishing clear avenues for equitable access, ensuring that AI tools are available and understandable to all students, not only those with the means to seek them out.

avenues本义为"大道"，此处引申为"途径、渠道"
equitable access意为"公平获取"，强调机会平等
the means此处意为"（经济）能力、资源条件"

这意味着设计既能抵御人工智能所带来的"走捷径"倾向、又能充分利用其学术价值的考核方式和学习体验——帮助学生应对复杂问题，成长为具有专家思维的学习者，并将所受教育与他们即将进入的现实世界相连接。

It means designing assessments and learning experiences that resist the shortcuts AI can provide while leveraging what it can offer academia: helping students tackle complex problems, develop into expert learners, and connect their education to the realities of the world into which they will graduate.

assessments此处指"考核、评估方式"
resist the shortcuts意为"抵制捷径"
leveraging意为"充分利用、借助"，强调主动发挥某种资源的最大价值，而非被动使用
tackle意为"应对、处理（复杂或困难的问题）"，语气比 deal with 更积极主动，暗含迎难而上之意

这还意味着让我们自身承担责任，以维护学习诚信、将人际关系置于教育核心位置的原则来引领前行。

And it means holding ourselves accountable to lead with principles that protect the integrity of learning and keep human relationships at the centre of education.

holding ourselves accountable固定短语，意为"让自己承担责任、主动接受问责"
integrity of learning意为"学习的完整性与诚信"

在学术环境中，我们当然不能以侵蚀诚信、强化偏见，或以自动化输出取代真正智识参与的方式来使用人工智能。

Inside the academic environment, we, of course, cannot adopt AI in ways that erode integrity, reinforce bias or substitute automated outputs for genuine intellectual engagement.

erode本义为"侵蚀（岩石等）"，此处引申为"逐渐削弱、破坏"
reinforce bias意为"强化偏见"
substitute...for固定搭配，意为"以……取代……"，注意介词 for 的用法：substitute A for B，即以A取代B
intellectual engagement意为"真正的智识参与"

我们不能仅仅追问人工智能能做什么，而必须追问在这一具体情境中、对于这些学习者而言、朝着这些目标前进时，它应该做什么。

We must not just ask what can AI do, but what it should do in this context, for these learners, toward these ends.

in this context固定短语，意为"在此语境/情境下"
toward these ends意为"朝着这些目标"，end 在此以复数形式表示"目的、目标"，是较正式的书面表达

这些是伦理问题，正在社会的大多数层面引发广泛思考。

These are questions of ethics, and they are being considered across most facets of society.

facets本义为"（宝石的）切面"，此处引申为"方面、层面"，与 aspects 近义但更具文学色彩，强调社会结构的多维性

引领解答这些问题，正是大学的责任所在。

It's up to universities to lead with answers.

It's up to固定短语，意为"由……负责、取决于……"，强调责任归属

科技企业无力承担伦理审议之责

使当下局面尤为紧迫的是：人工智能的创造者既不愿意、也没有能力回答它所引发的最艰难的问题。

What makes this moment especially urgent is that the creators of AI will not, and cannot, answer the hardest questions it raises.

urgent意为"紧迫的、刻不容缓的"
will not, and cannot"will not"强调主观意愿上的拒绝，"cannot"强调客观能力上的局限，两者并列揭示科技企业的双重困境

这些系统由以利润为驱动的企业构建，其激励机制奖励的是速度、规模与市场主导地位，而非反思、克制或伦理审议。

These systems are being built by profit-driven companies whose incentives reward speed, scale and market dominance and not reflection, restraint or ethical deliberation.

profit-driven意为"以利润为导向的"
incentives意为"激励机制、诱因"
market dominance意为"市场主导地位"
restraint意为"克制、自我约束"
ethical deliberation意为"伦理审议"

我在此需要谨慎表述：这并非在声称企业对其所创造的技术不承担任何伦理责任。

I want to be careful here: this is not a claim that companies bear no ethical responsibilities for the technologies they create.

bear...responsibilities固定搭配，意为"承担……责任"

但市场的结构性激励机制，使得从内部持续推进伦理审议极为困难。

But the structural incentives of the market make sustained ethical deliberation genuinely difficult to sustain from within.

structural incentives意为"结构性激励机制"
sustained意为"持续的、长期维持的"
from within意为"从内部"

这并非道德上的指控，而只是市场运作的基本逻辑。

That is not a moral indictment; it is simply how markets work.

moral indictment意为"道德指控、道义上的谴责"，indictment 原是法律术语"起诉书"，此处引申为严厉的道德批判

这也意味着，应对人工智能更广泛影响的责任，不能仅仅落在产业界一方身上。

It also means that the responsibility for grappling with AI's broader consequences cannot rest with industry alone.

grappling with意为"努力应对、全力处理（难题）"
rest with固定短语，意为"由……承担、责任在于……"

同样值得正视一个令人不安的事实：许多如今正在商业化的基础性人工智能系统，最初正是在大学研究实验室中诞生的。

It is also worth acknowledging an uncomfortable truth: many of the foundational AI systems now being commercialized were initially developed in university research labs.

acknowledging意为"承认、正视"，在此语境中带有主动面对不利真相的含义，而非被迫认错
foundational意为"基础性的、奠基性的"
commercialized意为"商业化的"

那些研究人员肩负着怎样的责任，以及这一领域是否在缺乏充分伦理反思的情况下推进得过于迅速——这些问题我们必须认真对待。

The question of what responsibility those researchers held, and whether the field moved too quickly without sufficient ethical reflection, is one we must take seriously.

ethical reflection意为"伦理反思"
take seriously固定搭配，意为"认真对待、郑重看待"

这也是大学当前角色不应只是从外部批评人工智能、而应以自身实践示范负责任的开发与部署究竟为何的又一理由。

It is another reason why the university's role now is not to just critique AI from the outside, but to model what responsible development and deployment actually looks like.

critique此处为动词，意为"对……进行批判性分析"
model此处为动词，意为"示范、以身作则地展示"
deployment专业术语，意为"部署"，指将AI系统投入实际使用的过程，与 development（开发）相对，是AI产品生命周期的重要阶段

大学能够提供一种对透明度的承诺，以及一种在鼓励创造的同时也奖励批判的文化。

Universities can offer a commitment to transparency, and a culture that rewards critique alongside creation.

commitment to transparency意为"对透明度的承诺"
rewards critique alongside creation意为"在奖励创造的同时也奖励批判"，alongside 强调二者并重、不可偏废

这正是"应该"与"能够"之辨。

The should versus can idea.

should versus can 呼应前文对"AI能做什么"与"AI应该做什么"的区分

放慢脚步，拒绝"打破一切

摆在我们面前的问题既宏大，又令人不安。

The questions before us are vast and unsettling.

unsettling意为"令人不安的、使人感到困惑或忧虑的"

人工智能究竟会压平原创思维，还是彻底重新定义创造力本身？

Will AI flatten original thought, or redefine creativity altogether?

flatten本义为"压平"，此处引申为"消弭、抹平（差异或独特性）"
redefine意为"重新定义"，指对既有概念进行根本性的重新诠释
altogether此处为副词，意为"完全地、彻底地"，加强语气

当大型语言模型大规模地重新混合现有知识——而这些知识往往相互矛盾时——将会发生什么？

What happens when large language models remix existing, and often contradictory, knowledge at scale?

remix本为音乐术语"混音"，此处引申为"重新组合、混合再生成"
contradictory意为"相互矛盾的"
at scale固定短语，意为"大规模地"

未来的工作者是否将主要被视为优化系统中的一种"输入要素"？

Will future workers be valued primarily as inputs in optimization systems?

inputs在系统论和经济学语境中意为"投入要素"，此处暗指人类劳动者被量化、工具化的隐忧
optimization systems意为"优化系统"

在一个日益由算法主导的世界中，我们如何教授判断力、好奇心与道德推理？

How do we teach judgment, curiosity and moral reasoning in a world increasingly mediated by algorithms?

moral reasoning意为"道德推理"
mediated by algorithms意为"由算法作为中介"

当偏见嵌入代码与数据之中、而非来自个人主观意图时，我们又如何正面应对它？

How do we confront bias when it is embedded in code and data rather than individual intent?

confront意为"正面应对、直面"，比 face 更强调主动迎战而非被动承受
embedded in意为"嵌入……之中"
individual intent意为"个人意图"

这些不是工程问题。它们是人类的问题。

These are not engineering problems. They are human ones.

它们需要耐心的分析、深入的辩论，以及来自跨学科领域的洞见。

They demand patient analysis, deep debate and insights drawn from across disciplines.

drawn from across disciplines意为"汲取自各学科领域"，强调解答这些问题需要超越单一专业的知识整合，drawn from 是固定搭配，意为"汲取自、来源于"

除了培养未来的劳动力和传授技能，大学更深层的使命在于研究、诠释并批判那些塑造社会的力量。

Apart from training future workers and transmitting skills, the deeper mission of universities is to study, interpret and critiquethe forces shaping society.

transmitting意为"传递、传授"
critique此处为动词，意为"对……进行批判性分析"
the forces shaping society意为"塑造社会的各种力量"

当这些力量有可能超越我们的价值观时，做出回应便是我们的公民责任。

When those forces threaten to outpace our values, it's our civic obligation to respond.

outpace意为"超越、跑得比……更快"
civic obligation意为"公民义务、公民责任"

科技行业以"快速行动，打破一切"的信条而闻名。

The technology sector is famous for the mantra "move fast and break things."

mantra原为梵语，意为"咒语、真言"，此处引申为"（某群体反复强调的）信条、口号"，带有一种近乎宗教性的固执意味
move fast and break things硅谷著名格言，源自Facebook创始人马克·扎克伯格，意为以打破现有规则的速度快速创新，是科技行业进攻性文化的代表性表达

大学的存在恰恰出于相反的理由：放慢脚步，提出质疑，并确保我们所构建的一切真正服务于社会。

Universities exist for the opposite reason: to slow down, to question and to ensure that what we build actually serves society.