Acceleration ethics addresses the tension between innovation and safety in artificial intelligence. The acceleration argument is that risks raised by innovation should be answered with still more innovating. This paper summarizes the theoretical position, and then shows how acceleration ethics works in a real case. To begin, the paper summarizes acceleration ethics as composed of five elements: innovation solves innovation problems, innovation is intrinsically valuable, the unknown is encouraging, governance is decentralized, ethics is embedded. Subsequently, the paper illustrates the acceleration framework with a use-case, a generative artificial intelligence language tool developed by the Canadian telecommunications company Telus. While the purity of theoretical positions is blurred by real-world ambiguities, the Telus experience indicates that acceleration AI ethics is a way of maximizing social responsibility through innovation, as opposed to sacrificing social responsibility for innovation, or sacrificing innovation for social responsibility.

翻译：加速伦理旨在解决人工智能领域中创新与安全之间的张力。加速论主张，创新引发的风险应当通过更多的创新来应对。本文首先概述了该理论立场，随后通过实际案例展示了加速伦理的运作机制。文章将加速伦理归纳为五个核心要素：创新解决创新产生的问题、创新具有内在价值、未知性具有激励作用、治理去中心化、伦理内嵌于系统。接着，本文以加拿大电信公司Telus开发的生成式人工智能语言工具为用例，阐释了该加速框架。尽管现实世界的复杂性使得理论立场的纯粹性变得模糊，但Telus的实践表明，加速人工智能伦理是通过创新最大化社会责任的路径，而非以牺牲社会责任换取创新，或以牺牲创新换取社会责任。