One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI's Diffusion and OpenAI's Dall-E. By analyzing the divergent values underlying their opposed strategies for development and deployment, five conceptions are identified as common to acceleration ethics. Uncertainty is understood as positive and encouraging, rather than discouraging. Innovation is conceived as intrinsically valuable, instead of worthwhile only as mediated by social effects. AI problems are solved by more AI, not less. Permissions and restrictions governing AI emerge from a decentralized process, instead of a unified authority. The work of ethics is embedded in AI development and application, instead of functioning from outside. Together, these attitudes and practices remake ethics as provoking rather than restraining artificial intelligence.

翻译：对传统人工智能伦理的一种批评是它会阻碍创新。本报告通过将伦理重新定位为创新的加速器来回应这一观点。关键要素来自对Stability AI的Diffusion与OpenAI的Dall-E的对比。通过分析它们对立的发展与部署策略背后所蕴含的不同价值观，我们识别出加速伦理的五个共同理念：不确定性被视为积极且激励性的，而非令人气馁的；创新被视为内在价值，而非仅通过社会效应才值得追求；AI问题通过更多AI来解决，而非更少；对AI的许可与限制来自去中心化过程，而非统一权威；伦理工作内嵌于AI开发与应用中，而非从外部发挥作用。这些态度与实践共同将伦理重塑为激发而非抑制人工智能的力量。