「特别报导」卡内基梅隆的 Kolter 教授加入 OpenAI 董事会和安全与安保委员会

文摘   2024-08-10 03:30   美国  








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卡内基梅隆的 Kolter 教授加入 OpenAI 董事会和安全与安保委员会
Carnegie Mellon’s Kolter Joins OpenAI Board of Directors, Safety and Security Committee


OpenAI 宣布任命卡内基梅隆大学教授 Zico Kolter 加入其董事会。


Kolter 还将加入董事会的安全与安保委员会。该委员会负责对所有 OpenAI 项目的关键安全和安保决策提出建议。


Kolter 表示:「我很高兴能加入 OpenAI 董事会,期待着分享我在 AI 安全和稳健性方面的见解与专业知识,以协助指导 OpenAI 的卓越工作。」 他是 CMU 计算机科学学院机器学习系的主任。


Kolter 的工作主要集中在人工智能安全、对齐以及机器学习分类器的稳健性。他的研究和专长涵盖了新的深度网络架构、理解数据对模型影响的创新方法以及评估 AI 模型稳健性的自动化方法,使他成为 OpenAI 治理中一位不可或缺的技术董事。


OpenAI 董事会主席 Bret Taylor 说道:「Zico 为我们带来了深厚的技术理解和对 AI 安全与稳健性的独到见解,这将帮助我们确保通用人工智能造福全人类」。


Kolter 在卡内基梅隆大学担任重要职务已有 12 年,涉及计算机科学系、软件与社会系统系、机器人研究所、CyLab 安全与隐私研究所以及工程学院电气与计算机工程系。他于 2010 年在斯坦福大学获得计算机科学博士学位,之后在 2010 至 2012 年期间担任麻省理工学院的博士后研究员。在他的职业生涯中,他对机器学习领域做出了重要贡献,发表了多篇在 NeurIPS、ICML 和 AISTATS 等顶级会议上获奖的论文。


Kolter 的研究包括开发首个具有保障稳健性的深度学习模型的方法。他还首创了在神经网络层中使用经典优化将硬约束嵌入 AI 模型的技术。最近,在 2023 年,他的团队开发了创新的方法,用于自动评估大型语言模型的安全性,展示了通过自动化优化技术绕过现有模型保护措施的潜力。除了学术研究,Kolter 在职业生涯中还与业界密切合作,曾担任 C3.ai 的首席数据科学家,目前是 Bosch 的首席专家以及专注于 AI 安全与安保的初创公司 Gray Swan 的首席技术顾问。


OpenAI has announced the appointment of Carnegie Mellon University Professor Zico Kolter to its board of directors.


Kolter will also join the board’s Safety and Security Committee. The committee is responsible for making recommendations on critical safety and security decisions for all OpenAI projects.


“I'm excited to announce that I am joining the OpenAI board of directors,” said Kolter, the head of the Machine Learning Department in CMU’s School of Computer Science. “I'm looking forward to sharing my perspectives and expertise on AI safety and robustness to help guide the amazing work being done at OpenAI.” 


Kolter’s work predominantly focuses on artificial intelligence safety, alignment and the robustness of machine learning classifiers. His research and expertise span new deep network architectures, innovative methodologies for understanding the influence of data on models, and automated methods for evaluating AI model robustness, making him an invaluable technical director for OpenAI’s governance.


“Zico adds deep technical understanding and perspective in AI safety and robustness that will help us ensure general artificial intelligence benefits all of humanity,” said Bret Taylor, chair of OpenAI’s board.


Kolter has been a key figure at CMU for 12 years with affiliations in the Computer Science Department, the Software and Societal Systems Department, the Robotics Institute, the CyLab Security and Privacy Institute, and the College of Engineering's Electrical and Computer Engineering Department. He completed his Ph.D. in computer science at Stanford University in 2010, followed by a postdoctoral fellowship at the Massachusetts Institute of Technology from 2010-12. Throughout his career, he has made significant contributions to the field of machine learning, authoring numerous award-winning papers at prestigious meetings such as the Conference on Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Artificial Intelligence and Statistics (AISTATS).


Kolter’s research includes developing the first methods for creating deep learning models with guaranteed robustness. He also pioneered techniques for embedding hard constraints into AI models using classical optimization within neural network layers. More recently, in 2023, his team developed innovative methods for automatically assessing the safety of large language models, demonstrating the potential to bypass existing model safeguards through automated optimization techniques. Alongside his academic pursuits, Kolter has worked closely within industry throughout his career, formerly as chief data scientist at C3.ai, and currently as chief expert at Bosch and chief technical adviser at Gray Swan, a startup specializing in AI safety and security.


了解更多 | Learn More: 

https://www.cmu.edu/news/stories/archives/2024/august/carnegie-mellons-kolter-joins-openai-board-of-directors-safety-and-security-committee







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