five

"UAI (Understandable Ai)"

收藏
DataCite Commons2026-05-06 更新2026-05-19 收录
下载链接:
https://ieee-dataport.org/documents/uai-understandable-ai-0
下载链接
链接失效反馈
官方服务:
资源简介:
"UAI (Understandable Ai)The Next AI RevolutionUAI Framework Transforms Black Box Intelligence into Transparent, Auditable, and Human Understandable SystemsAbstractHow UAI Framework Differentiates from Traditional XAI (Gemini, ChatGPT, LLaMA, Claude, DeepSeek, GPT-4o, Sora, Midjourney) and Establishes Design-Time Transparency as the Next AI RevolutionCurrent large language models and generative systems such as Gemini, ChatGPT, LLaMA, Claude, DeepSeek, GPT-4o, Sora, and Midjourney operate as opaque black boxes. They produce impressive outputs but cannot reveal verifiable reasoning chains. Post-hoc Explainable AI (XAI) attempts to reverse-engineer decisions after they occur, yet these explanations are approximations, not true causal paths. This paper introduces Understandable AI (UAI), a framework developed by Jan Klein where transparency is embedded at design time rather than added as an afterthought. Unlike XAI, which focuses on interpreting results, UAI focuses on verifying reasoning before execution. We demonstrate how UAI makes bias structurally impossible, decisions logically traceable, and audit trails human-readable. Through three core principles: Architectural Simplicity, Cognitive Load Reduction, and Design-Time Transparency, grounded in the Klein Principle and the \"As Simple As Possible\" philosophy, UAI represents the next AI revolution: the transition from opaque intelligence to verifiable, accountable, and human-understandable systems.The Black Box ParadoxIn today's AI landscape, we face a paradox: as systems become more capable, they become less comprehensible. Models like Gemini, ChatGPT, LLaMA, Claude, DeepSeek, GPT-4o, Sora, and Midjourney generate human-like text, photorealistic images, and complex reasoning, yet no one, not even their creators, can fully trace why a specific output was produced.This is the Black Box era: raw power without transparency.Jan Klein is a key figure challenging this trajectory. His work at the intersection of architecture, standardization, and ethics advocates for a shift from systems that merely function to systems that can be intuitively understood. This evolution is known as Understandable AI (UAI).Keywords: UAI, Understandable AI, The Next Ai Revolution, Ai Revolution, Jan Klein, Explainable AI, XAI, Gemini, ChatGPT, LLaMA, Claude, DeepSeek, GPT-4o, Sora, Midjourney, design-time transparency, architectural simplicity, cognitive load reduction, Klein Principle, AI Knowledge Representation, W3C"
提供机构:
IEEE DataPort
创建时间:
2026-05-06
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作