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:对传统大赦国际伦理学的一种反对意见是,它减缓了创新。本介绍通过重新配置伦理学作为创新加速器来回应。关键要素源于稳定AI的传播和开放AI的Dall-E之间的对比。通过分析其反向发展和部署战略的不同价值观,五个概念被确定为加速道德学的共同点。不确定性被理解为积极和鼓励,而不是抑制。创新被视为内在价值,而不是仅由社会影响来调解的价值。AI解决了AI问题,而不是更少。对AI的许可和限制来自一个分散化的进程,而不是一个统一的权力机构。伦理学工作植根于AI的发展和应用中,而不是从外部运作。这些态度和做法共同将伦理学视为激励而不是限制人工智能。