Berkeley ai papers In a big room, everyone was seated nervously staring at their exams. The playbook focuses on bias particularly in AI systems that use machine learning. Our findings indicate that while the overall impact of frontier AI is currently limited across various stages of both attack and defense, its influence on the attack side is markedly more pronounced. (pdf, code) We will extend UC Berkeley’s reputation as a leading research center on the technical and societal implications for Artificial Intelligence. Abstract The projects that we have developed for UC Berkeley’s intro-ductory artificial intelligence (AI) course teach foundational concepts using the classic video game Pac-Man. Huynh, D. Nov 6, 2025 · ISF 189 & 190: Thesis: Using AI tools Getting help How to Research Research Methods Theoretical frameworks Literature Reviews Encyclopedias Bibliographies How to Read Citations Locating Journals Keywords and Descriptors Building searches Locating Books Find Articles Google Scholar & BASE Citation Tracing Dissertations Citing Using AI tools Off Abstract. Before that, I did my undergrad at MIT where I was advised by Antonio Torralba. Executive Summary We present a comprehensive analysis of frontier AI's impact on cybersecurity using a marginal risk assessment framework and the cyber kill chain. This last part of this post was based on the following research paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In the field’s early years, several distinction definitions of “intelligent” were pursued, including emulation of human behavior and the capability for logical reasoning; in MIRI's artificial intelligence research is focused on developing the mathematical theory of trustworthy reasoning for advanced autonomous AI systems. There is wide discussion about and experimentation with the impact of AI on education/higher education. The Inclusive Intelligence (II) Initiative will advance basic research with new theory and algorithms and research and explore ways to shape the design and use of II. Jan 26, 2025 · Summer Undergraduate Program in Engineering Research at Berkeley (SUPERB) – Artificial Intelligence for Engineering (AI4E) The goal of the SUPERB in EECS is to prepare and motivate a group of diverse, competitive candidates for graduate study. We present VERIFAI, a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components. edu Address: 387 Soda Hall #1776 University of California Berkeley, CA 94720-1776 Grants Administrator: Judy Tam jtam@erso. Hu, R. Suppose the agent chooses actions according to some policy in the unknown MDP, collecting a dataset consisting of samples (, , ′, ) representing taking action in state resulting in a transition to state ′ and a reward of . There are four project topics: state-space search, multi-agent search, probabilistic inference, and reinforcement learning. I. Jordan. The Institute is jointly managed and hosted by University of California, Berkeley and University of Illinois Urbana-Champaign. Levine. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitative and predictive theory describing its learning process. Leon Lang, Davis Foote, Stuart Russell, Anca Dragan, Erik Jenner, and Scott Emmons, When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning, arXiv:2402. edu Oct 16, 2017 · In this paper, we propose several open research directions in systems, architectures, and security that can address these challenges and help unlock AI’s potential to improve lives and society. C3. From robotic legs to the origins of the universe, research at Berkeley crosses disciplines and illuminates new ideas. ai Digital Transformation Institute is a research consortium dedicated to accelerating the benefits of artificial intelligence for business, government, and society. On the surface, an AI system is a combination of traditional software and AI models, but there are many interesting design questions. Q-uagmire Consider an unknown MDP with three states ( , and ) and two actions (← and →). Huang, D. Someone raised their hand and said, “Excuse me, can I pick up my pencil? It fell Jun 22, 2020 · ABSTRACT We are living in an era of artificial intelligence (AI). Jan 21, 2025 · The Creation of Bad Students: AI Detection for Non-Native English Speakers Creating the “Bad” Student As a Graduate Student Instructor, I hate proctoring midterms. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm. edu Jul 18, 2017 · I would like to thank Sergey Levine and Pieter Abbeel for their valuable feedback. PR more if you have! World Years Adjusted Publications AI Index AI In General Computer Vision Natural Language Machine Learning Previously, I completed my PhD at Berkeley AI Research advised by Alyosha Efros. Mark Nitzberg ible Artificial Intelligence (CHAI) Berkeley AI Research (BAIR) University of Califor ve that AI is already an immensely powerful universal technology, limitless in its possibilities. 17747, February 2024. Artificial Intelligence (AI) Overview Work in Artificial Intelligence in the EECS department at Berkeley involves foundational research in core areas of deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and natural language processing. Nov 3, 2025 · Explore The Berkeley Function Calling Leaderboard (also called The Berkeley Tool Calling Leaderboard) to see the LLM's ability to call functions (aka tools) accurately. You want to estimate the probability of disease on each day. Research overview At Berkeley, we address the biggest challenges of the day to create a better world. Our research focus is AI for Engineering. Finn, P. These combined capabilities would empower users to ask arbitrary natural language questions over custom Introduction to Artificial Intelligence at UC Berkeley Mar 10, 2025 · From engineer to entrepreneur Srinivas wanted to start a company the moment he came to Berkeley. My research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. AI systems now help researchers manage the information deluge, filtering the literature, surfacing cross-disciplinary links for ideas and collaborations, generating hypotheses, and What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. In particular, human-targeted Oct 1, 2025 · The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, control, and robotics. Abstract Artificial Intelligence (AI) poses interwoven challenges. Each project requires students to implement general-purpose AI al-gorithms and then to Email Search UC Berkeley Directory Update your profile Research Bio Pieter Abbeel is one of the world's leading researchers, educators and entrepreneurs in Artificial Intelligence. I am also the co-founder and Chief Science Officer at GetReal Security. Our results show that Koala can effectively respond to a variety of user queries, generating Aug 18, 2004 · Email: jordan@cs. You know how the disease causes the symptoms, and you know that the state of the disease on a given day only depends on the state of the disease on the previous day. He is Professor in Artificial Intelligence and Robotics at UC Berkeley and an Amazon Scholar. Models can transmit behavioral traits through generated data that Q1. Dissertations published Aug 27, 2024 · AI systems that serve natural language questions over databases promise to unlock tremendous value. 16 Aug 2020 » AI Will Change the World. I spent fewer than 2 hours and 50 minutes on the practice exam, but I believe I have solved all the questions. 2. He just needed to figure out his angle. Goldstein, I. Hutchings, C. The time will be projected at the front of the room. BibTeX citation: @techreport{Stoica:EECS-2017-159, BAIR includes over 50 faculty and more than 300 graduate students and postdoctoral researchers pursuing research on fundamental advances in the above areas, as well as advancing cross-cutting themes including multi-modal deep learning, human-compatible AI, responsible AI by connecting AI with other scientific disciplines and the humanities Final Exam You have 180 minutes. Feb 18, 2025 · Online: UC Berkeley PhD Dissertations Dissertations and Theses (Dissertation Abstracts) UCB access only 1861-present Index and full text of graduate dissertations and theses from North American and European schools and universities, including the University of California, with full text of most doctoral dissertations from UC Berkeley and elsewhere from 1996 forward. Stuart Russell, Make AI safe or make safe AI?, UNESCO Global AI Ethics and Governance Observatory, February 2024. See full list on chai. Disclaimer: If you’re interested in making yourself more competitive for AI jobs, CS 189 and CS 182 are better fits. Jul 22, 2025 · Introduction Distillation means training a model to imitate another model's outputs. Phung, and M. ai Digital Transformation Institute The C3. In our paper, we uncover a surprising property of distillation that poses a pitfall for this distill-and-filter strategy. Y. Kang, A. In ICML, 2017. 🎉 Berkeley Function Calling Leaderboard! How do models stack up for function calling? 🎯 Read more in our Release Blog. Some other organizations are already considering these questions, including the Future of Humanity Institute at Oxford, the Centre for the Study of Existential Risk at Cambridge, the Machine Intelligence Research Institute in Berkeley, and the Future of Life Institute at Harvard/MIT. Chen, L. K. Defined as technology that uses advanced computation to perform at human cognitive capacity in some task area, AI must be regulated in the context of its broader toolbox - algorithms, data and platforms - and its regulation must be sector-specific. 2 Big systems Processing this deluge of data spurred rapid innovations in com- puter and software systems. In the absence of clear guidance from regulators, academics, or civil society that places a high priority on Jul 5, 2024 · Creativity, Artificial Intelligence, and the Requirement of Human Authors and Inventors in OUImages/Public Affairs Directorate Release blog, Paper. Although he spent time in the Berkeley Artificial Intelligence Research (BAIR) Lab under Abbeel and considered himself a researcher, he also wanted to be an entrepreneur. Based at the University of California, Berkeley, the AI Security Initiative is uniquely positioned to ensure that AI is developed safely and serves the public interest. Tygar’s invited talk at AISec 2010 on Adversarial Machine Learning describing the SecML project at UC Berkeley, and includes material from many of our collaborators. We describe the dataset curation and training process of our model, and also present the results of a user study that compares our model to ChatGPT and Stanford’s Alpaca. May 17, 2025 · Introduction to Artificial Intelligence at UC Berkeley About Past Exams for UC Berkeley EECS Courses. This paper therefore assesses empirically how competitive pressures — economic and political — have afected the speed and character of AI research and development (R&D) in an industry with a history of both extensive automation and impressive safety performance: aviation. Proceedings of the Twenty-Second Conference on Artificial Intelligence and Statistics (AISTATS), Okinawa, Japan, 2019. You receive the exact location of a vehicle every Mar 23, 2019 · The University of California Berkeley Artificial Intelligence Research (BAIR) Lab is pleased to announce the BAIR Open Research Commons, a new industrial affiliate program launched to accelerate cutting-edge AI research. Professor of Computer Science, University of California, Berkeley - Cited by 144,313 - Artificial Intelligence INTRODUCTION The goal of artificial intelligence (AI) research has been to understand the principles underlying intelligent behavior and to build those principles into machines that can then exhibit such behavior. Abbeel, S. Such systems would allow users to leverage the powerful reasoning and knowledge capabilities of language models (LMs) alongside the scalable computational power of data management systems. Probabilistic multilevel clustering via composite transportation distance. BIO I am a Professor at the University of California, Berkeley with appointments in the School of Information and Electrical Engineering & Computer Sciences. This paper expands upon J. Based on interviews with a wide range of experts, findings show limited evidence of an AI race to the bottom and some Professor of EECS at UC Berkeley Director of Kavli Center for Ethics, Science, and the Public What is this playbook? Mitigating Bias in AI: An Equity Fluent Leadership Playbook provides business leaders with key information on bias in AI (including a Bias in AI Map breaking down how and why bias exists) and seven strategic plays to mitigate bias. New Paper: “Artificial Intelligence Ethics in Practice” In a recent paper, “Artificial Intelligence Ethics in Practice,” published in ;login:, the USENIX Magazine, Jessica Cussins Newman, Research Fellow at CLTC and Program Director for the AI Security Initiative, together with Rajvardhan Oak, a graduate researcher at CLTC, described some of the key ethical challenges associated with Welcome to the AI Hub – your central resource for artificial intelligence at UC Berkeley. Establishing national and community priorities on how to reap AI’s benefits Apr 3, 2023 · In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their students to prepare them for an AI world of Quick picks: CS294-158 Deep Unsupervised Learning ICML 2021 Tutorial on Unsupervised Reinforcement Learning CS294-190 Advanced Topics in Learning and Decision Making (co-taught with Stuart Russell) The Business of AI (co-taught with my colleagues in the Haas Business School) CS188 Introduction to Artificial Intelligence CS287 Advanced Robotics Full Stack Deep Learning Bootcamp, co-organized Introduction to Artificial Intelligence at UC Berkeley Jan 10, 2025 · 2024 IMECE “Best Paper Competition” within one of ASME’s Emerging Strategic Areas, “Artificial Intelligence” “ Methane Detection and Characterization with AI Sensor Fusion and Decision-Analytic Placement of Rapidly Deployable Sensors ”, (with A. Proceedings of the Twenty-Second Conference on Artificial Intelligence and [Notable Paper Award]. This commentary examines how AI is transforming the research workflow. berkeley. D. In our new paper, we finally provide As a world leader in artificial intelligence with a history of challenging convention, UC Berkeley is shaping the future of this burgeoning field while exploring the larger implications of AI on society. VERIFAI particularly addresses challenges with applying for-mal methods to ML components such as perception systems based on deep neural networks, as well as systems containing them, and to model and analyze system Robotic AI & Learning Lab@ BAIR home people publications software contact. However, while machine learning (ML), the principal computer science tool underlying today’s AI breakthroughs, is indeed powerful, Dec 4, 2023 · Risk management must stay a step ahead of AI development to ensure AI is used safely, ethically, and in ways that align with human values and legal standards. Who Will Change AI? We Will. We kindly thank this year’s AISec organizers for allowing us to present this paper. Miao, J May 29, 2024 · The original LLMCompiler paper only considered large models, such as LLaMA-2 70B, which have complex reasoning capabilities to create the plan when provided with sufficient instructions in their prompts. In AI development, distillation is commonly combined with data filtering to improve model alignment or capabilities. Lee, Y. During my PhD, I was supported by the National Science Foundation's Graduate Research Fellowship Program. The last few CS 188 lectures (neural networks) are used by many modern state-of-the-art systems. However, can smaller models be prompted the same way to output the correct function calling plan? A January 2025 consultation report from the Future Society and its partners, (which also borrows from our draft working paper), reiterates the need for stakeholders at the upcoming AI Action Summit in Paris to supplement the voluntary commitments from industry with concrete thresholds. N. I was instructed to watch the students: vigilant, my job was to police them. Ho, V. Feb 18, 2024 · Developing Compound AI Systems While compound AI systems can offer clear benefits, the art of designing, optimizing, and operating them is still emerging. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their students to prepare them for an AI A Berkeley View of Systems Challenges for AI, core services, including classical problems in information retrieval, information extraction, and advertising [49]. 🏆 Gorilla OpenFunctions v2 Sets new SoTA for open-source LLMs 💪 On-par with GPT-4 🙌 Supports more languages 👌 🥇 Gorilla OpenFunctions! Drop in replacement! Examples 🚀 Try Gorilla in 60s! Mar 26, 2015 · At Berkeley, the Center for Human-Compatible AI (pronounced CHAI) studies this topic. 03 Aug 2020 » Estimating the fatality rate is difficult but doable with better data 24 Jul 2020 » Exploring Exploration: Comparing Children with RL Agents in Unified Environments 19 Jul 2020 » Can RL From Pixels be as Efficient as RL From State? Mark Nitzberg Executive Director Center for Human-Compatible Artificial Intelligence (CHAI) Berkeley Al Research (BAIR) University of California, Berkeley 1 Zysman/Nitzberg, Generative AI & Social Prosperity (2024) Abstract 1 You receive daily reports of a patient’s symptoms, but cannot directly observe the state of the patient’s disease. You may not leave during the last 10 minutes of the exam. C. Research programs Browse a complete list of research programs available at Berkeley. Rooted in Berkeley’s pioneering spirit, ethos of inclusivity, and culture of excellence, this hub connects our community with essential AI tools, training, policies, and opportunities. I serve on the Advisory Jan 26, 2024 · January 26, 2024 Women Defining AI is publishing an insightful new AI legal and policy perspective paper titled Responsible AI in Action: Balancing Regulation, Ethics, and the Future. I received my undergraduate degree in Computer About Algoverse Educating the Next Generation of AI Researchers By leveraging our deep teaching and research experience from top AI labs such as Berkeley AI Research (BAIR) and Meta Fundamental AI Research (FAIR), we aim to make top-tier AI research and industry-relevant skills more accessible. Jun 22, 2020 · We are living in an era of artificial intelligence (AI). Nov 14, 2025 · Artificial intelligence (AI) is reshaping how research is conceived, conducted, and communicated across fields from chemistry to biomedicine. I've interned at FAIR, Adobe Research and NVIDIA. This paper serves as a comprehensive guide to the contemporary AI landscape and is crafted to empower businesses to make sense of this dynamic environment. CS 188 | Introduction to Artificial Intelligence Fall 2018 Lecture: Tu/Th 2:00-3:30 pm, Wheeler 150 Description This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. omohtj iys ixswc canas xzugv fiqch zxufli xgkj vsckizw dxotyg cvzx rdb zfjar jyffg vmfxxgo