行业观察 | 人工智能教父谈人工智能的影响和潜力

Full interview: "God father of artificial intelligence" talks impact and potential of AI

专访：“人工智能教父”谈人工智能的影响和潜力

Introduction: In this exclusive interview, we delve into the insights of the "Godfather of artificial intelligence" on AI's evolution, challenges, and profound impact. From the initial competition between logic-driven and neural network approaches to the transformative breakthroughs in deep learning, we explore the directions of future machine comprehension and ethical governance, witnessing how this disruptive technology reshapes our world.

导语：本期专访将带你深入了解被誉为“人工智能教父”的专家眼中，AI技术从萌芽到成长的历程、挑战及其深远影响。从早期逻辑驱动与神经网络的较量到深度学习的革新，再探求未来机器理解和伦理监管的方向，一同见证这项颠覆性科技如何重塑我们的世界。

The interview with the "Godfather of AI" covered various topics surrounding artificial intelligence, from its history and potential to the ethical concerns it raises.

该访谈围绕人工智能的各种话题，从人工智能发展史、人工智能潜力到引起的相关伦理问题。

In the early days, two schools of thought existed in AI: logic-based AI and neural networks. Neural networks weren't initially successful due to insufficient computational power and data. It was believed that simple big neural networks could not learn complex tasks without prior knowledge.

在人工智能的初期，存在两种主导思路：逻辑驱动的人工智能与神经网络。神经网络最初未能成功应用主要是因为当时的计算能力和数据量不足。当时的普遍看法是，如果没有预先植入的知识，大型但简单的神经网络无法学习到复杂的任务。

AI's development accelerated around 2006 with deep learning, improving areas like speech recognition and image recognition. These advancements were initially met with skepticism from traditional computer scientists, but they quickly adapted when they saw the effectiveness of neural networks.

从2006年起，人工智能借助深度学习技术取得飞速发展，极大地提升了语音和图像识别等方面的应用。这些突破最初受到传统计算机科学领域专家的质疑，然而，随着他们亲眼目睹神经网络的卓越成效，迅速转变态度并开始采纳这一新技术。

The interviewer discusses with the "Godfather of AI" the common misconception that machines work purely on symbolic reasoning, when in fact, language models like ChatGPT and Google Translate function based on understanding relationships and meanings beyond mere strings of words.

采访中，访问者和被称为“AI教父”的专家一起讨论了一个常见的误区，即人们往往以为机器的工作仅依赖于符号逻辑推理。事实上，如ChatGPT或谷歌翻译这样的语言模型，它们的功能是基于对超出简单单词序列的关系和含义的理解。

Regarding AI development, it was emphasized that despite being programmed for certain objectives, like recognizing images, these systems may not fully comprehend what they are analyzing, often producing interpretations at a superficial level. As these models evolve, they begin to reflect a mixture of opinions without a consistent world view. However, advancements are ongoing to make AI systems capable of acknowledging different perspectives and applying that understanding accordingly.

在讨论人工智能发展过程中，重点提出即使这些系统为了达成特定的目的如图像识别而编程，它们很多时候也不能充分理解自己分析的内容，往往只是作出表面层次的解释。随着模型的不断演进，它们呈现出的观点更加多元化，缺乏统一的世界观。尽管如此，目前正在推进的进展目标是让人工智能系统能更好地认识和融入不同视角，并根据这些理解采取行动。

One particular concern is job displacement as AI becomes more capable, though the "Godfather" suggested that while some jobs might be affected, others would simply transform, shifting towards more creative or complex roles rather than routine ones.

人们普遍关心的一个问题是随着人工智能技术高度熟练，工作岗位可能会受到影响，但“人工智能教父”表示虽然一些工作可能会受到影响，其他工作却将会转型，转向更具创造性或更复杂的角色，而非日常例行的工作。

He reflected on the ethics of AI and autonomous weapons, stressing the need for regulation like Geneva Conventions. There was an acknowledgment that it might be difficult to enforce such regulations globally, given varying political interests.

他对人工智能及自主武器的道德议题进行了思考，并强调需要像日内瓦公约这样的法规来管理。同时也指出，由于各国的政治利益差异，这类法规在全球范围内可能很难得到有效执行。

In terms of his role in advancing AI technology, he remarked that halting his research would do little to slow progress since AI's momentum seems inevitable. While expressing concerns about AI outpacing human control and the danger it may present, he also conveyed optimism, hoping for a future where AI synergistically assists humanity rather than threatening it.

在促进人工智能科技前沿的过程中，他指出，停止他的研究将对遏制这一技术进步无多大帮助，因为人工智能发展的浪潮看似不可阻挡。虽然对人工智能超越人类控制的速度以及它可能构成的风险表示了担心，但他同时保持乐观态度，期待着人工智能能够辅助人类创造更好的未来，而非成为一种威胁。

Throughout the discussion, there was an underlying message of the revolutionary scale of AI, equating its impact with that of the Industrial Revolution or the advent of electricity. This technological leap is shaping a future where understanding and participating in AI development could become crucial for a broad range of fields.

在整个讨论中透露出一个基本观点，即人工智能引领的变革具有划时代的意义，其影响力可与工业革命或电力的发明相媲美。这种技术的飞跃正塑造着未来，理解和参与到人工智能的发展对各行各业来说将成为一个关键因素。

Lastly, Canada's contribution to the rise of AI was acknowledged, with its policies supporting curiosity-driven research despite having less funding than other countries, emphasizing the importance of foundational studies and international collaboration for scientific advancement.

在最后，赞誉了加拿大在推动AI兴起上所做的贡献。尽管相较其他国家，加拿大在资金方面或许不占优势，但该国鼓励出于探索本能的研究，并且凸显了打好科研基础以及在国际舞台上协作的重要性，为科学发展铺平道路。

The dialogue illustrates how artificial intelligence is slowly unveiling its boundless potential and associated challenges through a broad and profound revolution. As AI technology continuously evolves, it's essential to judiciously weigh ethical issues and work transformations, as well as enhance international cooperation and communication, promoting comprehensive and responsible development. In this journey, maintaining core motivations and establishing solid scientific foundations are vital, accompanied by effective regulations to ensure AI maximizes benefits while minimizing risks, aiding in building a harmonious coexistence with humanity.

本次对话展示了人工智能作为一场范围广泛、影响深刻的革命，正如何逐步揭示其无限潜力与所带来的挑战。随着AI科技持续进化，既要审慎地权衡伦理问题与工作变革，也要加强国际间的合作与交流，以推动全面、负责任的发展。在此过程中，对初心的坚守和科研基础的打造都至关重要，同时还要预设有效监管，确保AI利益最大化，风险最小化，为构筑与人类和谐共存的未来助一臂之力。

视频链接：https://www.youtube.com/watch?v=qpoRO378qRY

(机器翻译，轻度译后编辑，仅供参考）

特别说明：本文仅供学习交流，如有不妥欢迎后台联系小编。

声明：本公众号转载此文章是出于传播行业资讯、洞见之目的，如有侵犯到您的合法权益，请致信：[e-mail]，我们将及时调整处理。谢谢支持！【语言服务行业】分享群

群内会定期推送语言服务行业最新动态、活动预告、竞赛通知📝等内容~

欢迎你的加入🥰！

-END-
本文转载自：翻译技术教育与研究‍‍‍‍‍转载编辑：乔冠云
关注我们，获取更多资讯！

往期回顾

行业动态1. 年度回顾 | 中国翻译协会2023年大事记
2. 行业资讯 | 新增山东省高校！已有19所高校申请翻译博士专业学位
3. 行业动态 | RWS宣布推出Evolve，促进行业飞跃4. 行业动态 | Slator 2024语言服务供应商指数公布5. 行业资讯 | John Snow Labs荣获全球100强大语言模型医疗应用最佳奖

行业洞见

行业技术

精品课程

资源干货

招聘就业1. 译者招募丨英译中，经济学（有署名）2. 招聘快报 | CNBC财经电视台上海分公司招聘发行部助理实习生