★肯尼斯 斯坦利（Kenneth Stanley）是一名人工智能和机器学习研究员(专注于开放式发现)、作家和企业家。他是科普书籍《为什么伟大不能被计划:对创意、创新和创造的自由探索》的合著者，并就这一主题发表了广泛的演讲。他最近共同领导了OpenAI的开放式团队。在此之前，他是中佛罗里达大学计算机科学专业的教授，也是几何智能公司的联合创始人（该公司被优步收购，并成为优步人工智能实验室的雏形），在那里他领导核心人工智能研究。肯尼斯还发明了几种流行的人工智能算法，包括增强拓扑的神经进化(NEAT)、HyperNEAT和新奇性搜索等（在《为什么伟大不能被计划》中有详细介绍）。他目前正在建立一个开放式的、专注于偶然性的社交网络，名为Maven，网址为https://www.maven.ly/
Kenneth Stanley is an AI and machine learning researcher (focused on open-ended discovery), author, and entrepreneur. He is a coauthor of the popular science book, "Why Greatness Cannot Be Planned: The Myth of the Objective," and has spoken widely on its subject. He most recently co-led the open-endedness team at OpenAI. Prior to that, he was Charles Millican Professor of Computer Science at the University of Central Florida and was also a co-founder of Geometric Intelligence Inc., which was acquired by Uber to create Uber AI Labs, where he headed Core AI research. He invented several popular AI algorithms, including Neuroevolution of Augmenting Topologies (NEAT), HyperNEAT, and novelty search, among many others. He is currently building an open-ended, serendipity-focused social network called Maven at https://www.maven.ly/
★乔尔 雷曼（Joel Lehman），目前在领导Carper AI的开放性研究。此前，他曾在OpenAI和肯尼斯共同领导一个研究团队，是Uber 人工智能实验室的创始成员，Geometric Intelligence(被Uber收购的初创公司)的第一位员工，也是哥本哈根信息技术大学的助理教授。他与肯尼斯合著了《为什么伟大不能被计划》，讲述了人工智能搜索算法对个人和社会成就的影响。他的专业研究重点是：机器创造力、进化计算和人工智能的安全性。
Joel Lehman leads open-endedness research at Carper AI. Previously he co-led a research team at OpenAI, was a founding member of Uber AI Labs, the first employee of Geometric Intelligence (a start-up acquired by Uber), and an assistant professor at the IT University of Copenhagen. He co-wrote a popular science book called “Why Greatness Cannot Be Planned,” on what AI search algorithms imply for individual and societal accomplishment, and his research focuses on machine creativity, evolutionary computation, and AI safety.
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