Difference between revisions of "Timeline of Center for Human-Compatible AI"

From Timelines
Jump to: navigation, search
Line 149: Line 149:
 
|-
 
|-
  
−
| 2020 || {{dts|January 28}} || Course Launch || A new course, "Foundations for Beneficial AI," is co-taught at UC Berkeley by Stuart Russell, Lara Buchak, Wesley Holliday, and Shachar Kariv. The course emphasizes fundamental AI concepts to ensure technologies align with beneficial societal outcomes, bridging computer science, philosophy, and economics.<ref>{{cite web|url=https://humancompatible.ai/news/2020/01/28/beneficial_ai_course/ |title=CHAI News January 28, 2020 |accessdate=October 7, 2024}}</ref>
 
  
−
|-
+
Here is the corrected timeline in the Rice Format with proper <cite> tags for the 2020 events of CHAI:
−
 
 
−
| 2020 || {{dts|February 21}} || Publication || Thomas Gilbert’s paper, "Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments," is accepted at AIES 2020. It explores strategies for managing ethical uncertainty in AI systems, proposing a framework to integrate sociotechnical considerations into decision-making processes.<ref>{{cite web|url=https://humancompatible.ai/news/2020/02/21/hard_choices/ |title=CHAI News February 21, 2020 |accessdate=October 7, 2024}}</ref>
 
−
 
 
−
|-
 
−
 
 
−
| 2020 || {{dts|March 5}} || Podcast || Anca Dragan appears on Lex Fridman’s "Artificial Intelligence" podcast, discussing human-robot collaboration and control. The episode focuses on the design of AI systems that can understand and respond to human behaviors, especially in semi-autonomous scenarios like driving.<ref>{{cite web|url=https://humancompatible.ai/news/2020/03/05/anca_podcast/ |title=CHAI News March 5, 2020 |accessdate=October 7, 2024}}</ref>
 
−
 
 
−
|-
 
−
 
 
−
| 2020 || {{dts|April 19}} || Workshop || Stuart Russell and Caroline Jeanmaire organize a virtual workshop titled "AI Economic Futures" in partnership with the Global AI Council at the World Economic Forum. The event explores AI's economic implications and discusses strategies for aligning AI development with sustainable, inclusive growth.<ref>{{cite web|url=https://humancompatible.ai/news/2020/04/19/ai_economic_futures/ |title=CHAI News April 19, 2020 |accessdate=October 7, 2024}}</ref>
 
−
 
 
−
|-
 
−
 
 
−
| 2020 || {{dts|April 30}} || Book Reissue || The paperback edition of Stuart Russell’s book, "Human Compatible: AI and the Problem of Control," is published in the UK. The book, originally released in 2019, critically examines the challenges of controlling advanced AI and emphasizes the need for ethical frameworks for its safe deployment.<ref>{{cite web|url=https://humancompatible.ai/news/2020/04/30/human_compatible_reissue/ |title=CHAI News April 30, 2020 |accessdate=October 7, 2024}}</ref>
 
−
 
 
−
|-
 
−
 
 
−
| 2020 || {{dts|May 5}} || Publication || Vael Gates, Anca Dragan, and Tom Griffiths publish "How to Be Helpful to Multiple People at Once" in Cognitive Science. The paper examines how AI systems can assist multiple people effectively and proposes decision-making models to optimize AI's helpfulness in multi-person interactions.<ref>{{cite web|url=https://humancompatible.ai/news/2020/05/05/helpful_multiple_people/ |title=CHAI News May 5, 2020 |accessdate=October 7, 2024}}</ref>
 
−
 
 
−
|-
 
  
−
| 2020 || {{dts|May 30}} || Paper Published || Andrew Critch and David Krueger release "AI Research Considerations for Human Existential Safety (ARCHES)." The paper discusses the existential risks AI poses and proposes frameworks for developing safe AI that does not threaten humanity's future.<ref>{{cite web|url=https://humancompatible.ai/news/2020/05/30/arches_paper/ |title=CHAI News May 30, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|June 1}} || Virtual Workshop || CHAI holds its first virtual workshop due to COVID-19, bringing together around 150 participants from the AI safety community. The event features discussions, talks, and collaborations focused on reducing existential risks from advanced AI.<ref>{{cite web|url=https://humancompatible.ai/news/2020/06/01/first-virtual-workshop/ |title=CHAI Holds Its First Virtual Workshop |website=CHAI |date=June 1, 2020 |accessdate=October 7, 2024}}</ref>
  
 
|-
 
|-
  
−
| 2020 || {{dts|June 1}} || Workshop || CHAI hosts its first virtual workshop, gathering researchers to discuss progress in AI safety, alignment strategies, and challenges in AI systems development. The workshop format encourages collaborative problem-solving and community-building in a digital space.<ref>{{cite web|url=https://humancompatible.ai/news/2020/06/01/virtual_workshop/ |title=CHAI News June 1, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|September 1}} || New PhD Students || Six new PhD students join CHAI, each advised by Principal Investigators. The incoming students—Yuxi Liu, Micah Carroll, Cassidy Laidlaw, Alex Gunning, Alyssa Dayan, and Jessy Lin—bring diverse interests ranging from mathematics to AI-human cooperation.<ref>{{cite web|url=https://humancompatible.ai/news/2020/09/01/six-new-phd-students-join-chai/ |title=Six New PhD Students Join CHAI |website=CHAI |date=September 1, 2020 |accessdate=October 7, 2024}}</ref>
  
 
|-
 
|-
  
−
| 2020 || {{dts|June 15}} || Fellowship || Alyssa Dayan, a PhD student advised by Stuart Russell at CHAI, is awarded the Hertz Fellowship. The fellowship supports her research efforts in AI safety, focusing on aligning AI systems with human values.<ref>{{cite web|url=https://humancompatible.ai/news/2020/06/15/hertz_fellowship/ |title=CHAI News June 15, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|September 10}} || IJCAI Papers || CHAI PhD student Rachel Freedman has two papers accepted at IJCAI-20 workshops. The first paper, "Choice Set Misspecification in Reward Inference," analyzes errors in robot reward function inference. The second, "Aligning with Heterogeneous Preferences for Kidney Exchange," proposes AI solutions for preference aggregation in kidney exchange programs.<ref>{{cite web|url=https://humancompatible.ai/news/2020/09/10/rachel-freedman-papers-ijcai/ |title=IJCAI-20 Accepts Two Papers by CHAI PhD Student Rachel Freedman |website=CHAI |date=September 10, 2020 |accessdate=October 7, 2024}}</ref>
  
 
|-
 
|-
  
−
| 2020 || {{dts|July 15}} || Student Placement || CHAI PhD students Rohin Shah, Jaime Fernández Fisac, and Dylan Hadfield-Menell secure positions at MIT, Princeton, and DeepMind, respectively. These placements underscore CHAI’s role in cultivating leaders in AI safety and alignment research.<ref>{{cite web|url=https://humancompatible.ai/news/2020/07/15/phd_positions/ |title=CHAI News July 15, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|October 10}} || Book Publication || Brian Christian publishes "The Alignment Problem: Machine Learning and Human Values," highlighting key milestones and challenges in AI safety. The book showcases the work of many CHAI researchers and is aimed at understanding technical AI safety progress.<ref>{{cite web|url=https://humancompatible.ai/news/2020/10/10/alignment-problem-published/ |title=Brian Christian Publishes The Alignment Problem |website=CHAI |date=October 10, 2020 |accessdate=October 7, 2024}}</ref>
  
 
|-
 
|-
  
−
| 2020 || {{dts|August 3}} || Publication || Joseph Halpern and Xinming Liu publish "Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits" at the UAI Virtual Conference. The research explores AI decision-making under bounded rationality, contributing to models for understanding AI behavior with limited rational capacities.<ref>{{cite web|url=https://humancompatible.ai/news/2020/08/03/uai_publication/ |title=CHAI News August 3, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|October 21}} || Book Launch Event || CHAI hosts a virtual event to celebrate the launch of Brian Christian’s book "The Alignment Problem." The event includes an interview with the author and audience Q&A, hosted by journalist Nora Young, providing insight into AI safety and ethics.<ref>{{cite web|url=https://humancompatible.ai/news/2020/11/05/book-launch-alignment-problem/ |title=Watch the Book Launch of The Alignment Problem in Conversation with Brian Christian and Nora Young |website=CHAI |date=November 5, 2020 |accessdate=October 7, 2024}}</ref>
  
 
|-
 
|-
  
−
| 2020 || {{dts|September 1}} || New PhD Students || Six new PhD students join CHAI, each bringing diverse interests ranging from mathematics and philosophy to human-AI cooperation and computational cognitive science.<ref>{{cite web|url=https://humancompatible.ai/news/2020/09/01/six-new-phd-students-join-chai/ |title=Six New PhD Students Join CHAI |website=CHAI |date=September 1, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|November 12}} || Internship Applications Open || CHAI opens applications for its 2021 research internships. Interns work on research projects with mentors and participate in seminars and workshops. The early deadline is November 23, and the final deadline is December 13.<ref>{{cite web|url=https://humancompatible.ai/news/2020/11/12/internship-applications/ |title=CHAI Internship Application Is Now Open |website=CHAI |date=November 12, 2020 |accessdate=October 7, 2024}}</ref>
−
 
 
−
|-
 
−
 
 
−
| 2020 || {{dts|September 3}} || Award || Stuart Russell receives the 2020 AAAS Scientific Freedom and Responsibility Award for his advocacy of ethical AI and promoting the responsible development of AI technologies aligned with human safety and societal values.<ref>{{cite web|url=https://humancompatible.ai/news/2020/09/03/aaas_award/ |title=CHAI News September 3, 2020 |accessdate=October 7, 2024}}</ref>
 
−
|-
 
−
| 2020 || {{dts|November 12}} || Internship Applications Open || CHAI opens its internship applications for 2021, offering opportunities for research projects with mentors. Interns contribute to CHAI's work through activities like social events, seminars, and the annual CHAI workshop. Early application deadline: November 23; final deadline: December 13.<ref>{{cite web|url=https://humancompatible.ai/news/2020/11/12/internship-applications/ |title=CHAI Internship Application Is Now Open |website=CHAI |date=November 12, 2020 |accessdate=October 7, 2024}}</ref>
 
  
 
|-
 
|-
  
−
| 2020 || {{dts|December 15}} || Progress Report || CHAI releases its 2020 progress report, outlining research achievements and publications, including work on AI safety, inverse reinforcement learning, and the cooperative inverse reinforcement learning (CIRL) model. It also discusses promoting AI safety within the broader AI community through keynote talks, papers, and books such as "Human Compatible" by Stuart Russell, and the new edition of "Artificial Intelligence: A Modern Approach."<ref>{{cite web|url=https://humancompatible.ai/news/2020/12/15/progress-report/ |title=CHAI 2020 Progress Report |website=CHAI |date=December 15, 2020 |accessdate=October 7, 2024}}</ref>
+
| 2020 || {{dts|December 20}} || Donations Received || The Survival and Flourishing Fund (SFF) donates $799,000 to CHAI and $247,000 to the Berkeley Existential Risk Initiative for BERI-CHAI collaboration. These funds support AI safety research and collaborations aiming to improve humanity’s long-term survival prospects.<ref>{{cite web|url=https://humancompatible.ai/news/2020/12/20/chai-beri-donations/ |title=CHAI and BERI Receive Donations |website=CHAI |date=December 20, 2020 |accessdate=October 7, 2024}}</ref>
 
|-
 
|-
  

Revision as of 13:14, 7 October 2024

This is a timeline of Center for Human-Compatible AI (CHAI).

Big picture

Time period Development summary More details
2016–present CHAI is established CHAI is established and begins producing research.


Full timeline

Here is the corrected timeline in the Rice Format with proper tags for the 2020 events of CHAI:
Year Month and date Event type Details
2016 August Organization The UC Berkeley Center for Human-Compatible Artificial Intelligence launches. The focus of the center is "to ensure that AI systems are beneficial to humans".[1]
2016 August Financial The Open Philanthropy Project awards a grant of $5.6 million to the Center for Human-Compatible AI.[2]
2016 November 24 Publication The initial version of "The Off-Switch Game", a paper by Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, and Stuart Russell, is uploaded to the arXiv.[3][4]
2016 December Publication CHAI's "Annotated bibliography of recommended materials" is published around this time.[5]
2017 May 5–6 Workshop CHAI's first annual workshop takes place. The annual workshop is "designed to advance discussion and research" to "reorient the field of artificial intelligence toward developing systems that are provably beneficial to humans".[6]
2017 May 28 Publication "Should Robots be Obedient?" by Smitha Milli, Dylan Hadfield-Menell, Anca Dragan, and Stuart Russell is uploaded to the arXiv.[7][4]
2017 October Staff Rosie Campbell joins CHAI as Assistant Director.[8]
2018 February 1 Publication Joseph Halpern publishes "Information Acquisition Under Resource Limitations in a Noisy Environment," contributing to discussions on optimizing decision-making processes when resources and data are limited. The paper offers insights into how intelligent agents can make informed decisions in complex environments. [9]
2018 February 7 Media Mention Anca Dragan, a CHAI researcher, is featured in Forbes in an article discussing AI research with a focus on value alignment and the broader ethical implications of AI development. This inclusion highlights Dragan's contributions to the field and raises awareness on the importance of aligning AI behavior with human values. [10]
2018 February 26 Conference Anca Dragan presents "Expressing Robot Incapability" at the ACM/IEEE International Conference on Human-Robot Interaction. The presentation explores how robots can effectively communicate their limitations to humans, an essential step in developing more trustworthy and transparent human-robot collaborations.[11]
2018 March 8 Publication Anca Dragan and her team publish "Learning from Physical Human Corrections, One Feature at a Time," a paper focusing on the dynamics of human-robot interaction. This research emphasizes how robots can learn more effectively from human corrections, improving overall performance in collaborative settings.[12]
2018 March Staff Andrew Critch, who was previously on leave from the Machine Intelligence Research Institute to help launch CHAI and the Berkeley Existential Risk Initiative, accepts a position as CHAI's first research scientist.[13]
2018 April 4–12 Organization CHAI gets a new logo (green background with white letters "CHAI") sometime during this period.[14][15]
2018 April 9 Publication The Alignment Newsletter is publicly announced. The weekly newsletter summarizes content relevant to AI alignment from the previous week. Before the Alignment Newsletter was made public, a similar series of emails was produced internally for CHAI.[16][17] (It's not clear from the announcement whether the Alignment Newsletter is being produced officially by CHAI, or whether the initial emails were produced by CHAI and the later public newsletters are being produced independently.)
2018 April 28–29 Workshop CHAI hosts its second annual workshop, which brings together researchers, industry experts, and collaborators to discuss progress and challenges in AI safety and alignment. The event covers themes such as reward modeling, interpretability, and human-AI collaboration, promoting open dialogue on cooperative AI development and fostering connections to advance safety goals.[18]
2018 July 2 Publication Thomas Krendl Gilbert, a CHAI researcher, publishes "A Broader View on Bias in Automated Decision-Making" at ICML 2018. This work critically analyzes how bias in AI systems can perpetuate unfairness, providing strategies for integrating fairness and ethical standards into AI decision-making processes. The publication stresses the importance of preemptive efforts to address biases in automated decision-making.[19]
2018 July 13 Workshop At the 1st Workshop on Goal Specifications for Reinforcement Learning, CHAI researcher Daniel Filan presents "Exploring Hierarchy-Aware Inverse Reinforcement Learning." The work aims to advance understanding of hierarchical human goals in AI systems, enhancing AI agents' capabilities to align their behaviour with complex human intentions in varied and multi-level environments.[20]
2018 July 14 Workshop CHAI researchers Adam Gleave and Rohin Shah present "Active Inverse Reward Design" at the same workshop. Their work explores how AI systems can actively query human users to resolve ambiguities in reward structures, refining AI behavior to better align with nuanced human preferences, thereby improving decision-making in complex tasks.[21]
2018 July 16 Publication Stuart Russell and Anca Dragan of CHAI publish "An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning" at ICML 2018. The paper introduces an innovative method to enhance AI's capability to cooperate with human partners by efficiently updating beliefs and learning shared goals, which is vital for developing AI systems that safely and effectively interact with humans.[22]
2018 August 26 Workshop CHAI students join the AI Alignment Workshop organized by MIRI. This collaborative event focuses on core challenges in AI safety, such as creating systems aligned with human values, exploring theoretical advances in AI behaviour, and generating ideas for ensuring safe AI development. Students engage with researchers from various backgrounds to discuss emerging issues and practical solutions for AI alignment.[23]
2018 September 4 Conference Jaime Fisac, a CHAI researcher, presents his work at three conferences, exploring themes in AI safety and control under uncertainty. Fisac’s research aims to enhance the understanding of robust and safe AI interactions in dynamic settings, focusing on developing methods that ensure AI systems act predictably and align with human expectations across diverse environments.[24]
2018 October 31 Recognition Rosie Campbell, Assistant Director at CHAI, is honored as one of the Top Women in AI Ethics on Social Media by Mia Dand. This recognition acknowledges Campbell’s leadership in AI ethics, her influence on responsible AI development, and her contributions to fostering discussions around the ethical challenges of advancing AI technologies.[25]
2018 December Conference CHAI researchers participate in the NeurIPS 2018 Conference, presenting their work and contributing to discussions on AI research, safety, and policy development. The event offers CHAI members the opportunity to engage with peers in the AI field, share findings on AI alignment, and explore new avenues for collaboration to enhance AI safety research.[26]
2018 December Podcast Rohin Shah, a CHAI researcher, features on the AI Alignment Podcast by the Future of Life Institute. In this episode, Shah discusses Inverse Reinforcement Learning, outlining how AI systems can better learn and adapt to human preferences, ultimately contributing to the development of safe, aligned AI technologies that act according to human values.[27]
2018 December Media Mention Stuart Russell and Rosie Campbell from CHAI are quoted in a Vox article titled "The Case for Taking AI Seriously as a Threat to Humanity." They emphasize the potential for AI systems to be developed without adequate safety measures or ethical considerations, which could lead to unintended and potentially harmful consequences. The article highlights their advocacy for aligning AI with human values and ensuring that AI safety is prioritized to prevent misuse or detrimental effects on society.[28]
2019 January 8 Talks Rosie Campbell, Assistant Director at CHAI, delivers talks at AI Meetups in San Francisco and East Bay. She discusses challenges in AI safety, emphasizing the importance of neural networks and CHAI’s unique approach to AI alignment. Her talks aim to raise awareness about creating AI systems that are reliable and safe, sparking discussions on ethical AI development and fostering community engagement in AI safety topics.[29]
2019 January 15 Award Stuart Russell, a pioneer in AI safety research and Director of CHAI, receives the AAAI Feigenbaum Prize for advancing probabilistic knowledge representation and reasoning. This prestigious award highlights his contributions to the development of algorithms for intelligent agents, and his groundbreaking work in applying AI to real-world challenges, such as seismic monitoring for nuclear test detection and ethical considerations in AI development.[30]
2019 January 17 Conference CHAI faculty and staff contribute several papers to AAAI 2019, including: "Deception in Finitely Repeated Security Games," "Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient," "A Unified Framework for Planning in Adversarial and Cooperative Environments," "Partial Unawareness," "Abstracting Causal Models," "Blameworthiness in Multi-Agent Settings," and a presentation on AI's social implications at the AIES Conference. [31]
2019 January 21 Talk Stuart Russell speaks to the Netherlands Ministry of Foreign Affairs, outlining the risks of autonomous weapons. His presentation emphasizes how AI technology, if misused, could lead to the development of weapons of mass destruction. He calls for international regulations and AI safety mechanisms to manage autonomous weaponry, framing the global need to address ethical concerns and prevent the escalation of conflict driven by AI. [32]
2019 March 20 Conference Anca Dragan and Smitha Milli have a paper accepted at UAI 2019, focusing on uncertainties within AI systems. Their research enhances the understanding of AI's interactions with uncertain environments, proposing frameworks for more reliable AI decisions when dealing with ambiguous or incomplete information, which is crucial for safe deployment in real-world applications.[33]
2019 May 20 Publication Stuart Russell’s book, "Human Compatible: Artificial Intelligence and the Problem of Control," is announced for pre-order, offering a deep dive into the challenges and ethical considerations of controlling AI systems. The book delves into the need for aligning AI behavior with human values and preventing unintended consequences as AI systems grow more advanced and autonomous.[34]
2019 May 24 Conference CHAI researchers submit the paper "Adversarial Policies: Attacking Deep Reinforcement Learning" to NeurIPS 2019. The research investigates how deep reinforcement learning models can be vulnerable to adversarial attacks, proposing strategies for increasing their resilience and robustness to ensure that AI systems behave safely under various conditions.[35]
2019 May 30 Research Collaboration Vincent Corruble, from Sorbonne University, collaborates with CHAI as a visiting researcher. During his three-month tenure, Corruble works on the risks associated with comprehensive AI systems, contributing to ongoing CHAI projects aimed at developing ethical frameworks and practical safety measures for AI applications.[36]
2019 July 5 Research Summary Rohin Shah publishes a summary of CHAI's research paper "On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference." The summary highlights the potential for AI systems to learn from human biases, offering a pathway to improve how AI models reward structures based on observed human behaviours and decisions.[37]
2019 August 15 Media Publication Mark Nitzberg, Executive Director of CHAI, writes a WIRED article advocating for an “FDA for algorithms.” The article argues for the establishment of a regulatory body to oversee the development of AI technologies, ensuring their safety, transparency, and ethical use to mitigate potential harms caused by unchecked AI deployment.[38]
2019 August 16 Talk Michael Wellman, a principal investigator at CHAI, presents his work at the ICML Workshop on AI and Finance. His talk, "Trend-Following Trading Strategies and Financial Market Stability," examines how the use of AI in algorithmic trading impacts market stability and raises questions about the ethical implications of autonomous financial decision-making.[39]
2019 August 28 Paper Submission Thomas Krendl Gilbert submits "The Passions and the Reward Functions: Rival Views of AI Safety?" to FAT*2020. The paper delves into philosophical perspectives on AI safety, debating different approaches to constructing reward functions that align with human emotions and societal values, and offering insights into balancing technical and ethical considerations in AI design.[40]
2019 September 28 Newsletter Rohin Shah expands and professionalizes the AI Alignment Newsletter, transitioning it from a volunteer-based effort to a team-driven project. This enables regular and detailed updates on AI safety and alignment research, serving as a comprehensive resource for the AI community on developments and discussions in AI safety.[41]
2019 October 8 Book Release Stuart Russell publishes "Human Compatible: Artificial Intelligence and the Problem of Control," exploring the potential risks of advanced AI systems and proposing a vision for their ethical design and control. The book examines the broader implications of...controlling advanced AI. The book discusses the dangers of unaligned AI, the need for ethical design, and strategies for ensuring AI systems serve human interests, providing a roadmap for the safe development of AI technologies.[42]
2020 June 1 Virtual Workshop CHAI holds its first virtual workshop due to COVID-19, bringing together around 150 participants from the AI safety community. The event features discussions, talks, and collaborations focused on reducing existential risks from advanced AI.[43]
2020 September 1 New PhD Students Six new PhD students join CHAI, each advised by Principal Investigators. The incoming students—Yuxi Liu, Micah Carroll, Cassidy Laidlaw, Alex Gunning, Alyssa Dayan, and Jessy Lin—bring diverse interests ranging from mathematics to AI-human cooperation.[44]
2020 September 10 IJCAI Papers CHAI PhD student Rachel Freedman has two papers accepted at IJCAI-20 workshops. The first paper, "Choice Set Misspecification in Reward Inference," analyzes errors in robot reward function inference. The second, "Aligning with Heterogeneous Preferences for Kidney Exchange," proposes AI solutions for preference aggregation in kidney exchange programs.[45]
2020 October 10 Book Publication Brian Christian publishes "The Alignment Problem: Machine Learning and Human Values," highlighting key milestones and challenges in AI safety. The book showcases the work of many CHAI researchers and is aimed at understanding technical AI safety progress.[46]
2020 October 21 Book Launch Event CHAI hosts a virtual event to celebrate the launch of Brian Christian’s book "The Alignment Problem." The event includes an interview with the author and audience Q&A, hosted by journalist Nora Young, providing insight into AI safety and ethics.[47]
2020 November 12 Internship Applications Open CHAI opens applications for its 2021 research internships. Interns work on research projects with mentors and participate in seminars and workshops. The early deadline is November 23, and the final deadline is December 13.[48]
2020 December 20 Donations Received The Survival and Flourishing Fund (SFF) donates $799,000 to CHAI and $247,000 to the Berkeley Existential Risk Initiative for BERI-CHAI collaboration. These funds support AI safety research and collaborations aiming to improve humanity’s long-term survival prospects.[49]
2021 January 6 Podcast Launch Daniel Filan debuts the AI X-risk Research Podcast (AXRP). The podcast focuses on AI alignment, technical challenges, and existential risks, bringing insights from experts and researchers working on ensuring AI safety.[50]
2021 February 5 Paper Published Thomas Krendl Gilbert releases the paper "AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks" at IEEE ISTAS20. The paper critiques limited abstraction in AI research and advocates for integrating social context and ethical considerations into AI systems development.[51]
2021 February 9 Debate Stuart Russell debates Melanie Mitchell on The Munk Debates. Russell discusses AI safety concerns, the urgency of AI alignment research, and the risks associated with unregulated AI development. He stresses the importance of international governance to control AI technologies safely.[52]
2021 January 25 Podcast Feature Michael Dennis appears on the TalkRL podcast, discussing reinforcement learning, AI safety, and the challenges in creating safe and reliable AI systems. Dennis addresses the complexities of reward design and behavior modeling to align AI with human objectives.[53]
2021 March 18 Conference At AAAI 2021, CHAI faculty and affiliates present multiple papers focusing on AI alignment, safe reinforcement learning, and improving AI-human interactions. Contributions include research on scalable reward modeling and methods for better interpretability of AI behavior.[54]
2021 March 25 Book Recognition Brian Christian's book "The Alignment Problem" is recognized with the Excellence in Science Communication Award by the Eric and Wendy Schmidt and the National Academies. The book explores AI alignment challenges and ethical dilemmas in designing AI systems that behave as intended.[55]
2021 April 11 Forum Participation Stuart Russell and Caroline Jeanmaire organize a virtual workshop titled "AI Economic Futures," in collaboration with the Global AI Council at the World Economic Forum. The series aims to discuss AI policy recommendations and their impact on future economic prosperity.[56]
2021 June 7-8 Workshop CHAI hosts its Fifth Annual Workshop, where researchers, students, and collaborators discuss advancements in AI safety, alignment, and research progress. The workshop addresses key challenges in AI reward modeling, interpretability, and scalable alignment techniques.[57]
2021 July 9 Competition Launch CHAI researchers contribute to the launch of the NeurIPS MineRL BASALT Competition. The competition aims to promote research in imitation learning, focusing on AI systems learning from human demonstration within the open-world Minecraft environment to improve behavior modeling.[58]
2021 August 7 Award Stuart Russell is named an Officer of the Most Excellent Order of the British Empire (OBE) for his significant contributions to artificial intelligence research and AI safety. This recognition highlights his impact on AI ethics and governance.[59]
2021 October 26 Internship Applications Open CHAI announces its 2022 AI safety research internship program, with applications due by November 13, 2021. The program offers 3-4 month mentorship opportunities to work on AI safety research projects, either in-person at UC Berkeley or remotely. The internship aims to provide experience in technical AI safety research for individuals with a background in mathematics, computer science, or related fields. The selection process includes a cover letter or research proposal, programming assessments, and interviews.[60]
2022 January 18 Research Papers Published Several papers were published by CHAI researchers. Tom Lenaerts and his co-authors explored "Voluntary safety commitments in AI development," suggesting that such commitments help escape over-regulation. Another paper, "Cross-Domain Imitation Learning via Optimal Transport," by Arnaud Fickinger, Stuart Russell, and others, discussed how to achieve cross-domain transfer in continuous control domains. Finally, Scott Emmons and his team published research on offline reinforcement learning, showing that simple design choices can improve empirical performance on RL benchmarks.[61]
2022 February 17 AI2050 Fellowship Stuart Russell joins the inaugural cohort of AI2050 fellows, an initiative launched by Schmidt Futures with $125 million in funding over five years. The goal of AI2050 is to address the challenges of AI development. Russell’s focus is on enhancing AI interpretability, provable safety, and performance through probabilistic programming.[62]
2022 May 2022 Progress Report CHAI releases a progress report detailing the growth, research outputs, and engagements from May 2022 to April 2023. This includes 32 papers on AI topics like assistance games, adversarial robustness, and social impacts. It also covers CHAI’s work on advising on AI regulation and policy. Additionally, CHAI's research on safe AI development in large language models and AI vulnerabilities is emphasized.[63]
2022 October 7-9 NSF PSBAI Workshop CHAI holds the NSF Convergence Accelerator Workshop on Provably Safe and Beneficial AI (PSBAI) to develop a research agenda for creating verifiable, well-founded AI systems. The workshop gathers 51 experts from diverse fields such as AI, ethics, and law, to ensure safe AI integration into society.[64]
2022 November 18 Reward Learning Research A paper titled “Time-Efficient Reward Learning via Visually Assisted Cluster Ranking” was accepted at the Human-in-the-loop Learning (HILL) Workshop at NeurIPS 2022. Written by Micah Carroll, Anca Dragan, and collaborators, the paper addresses improving reward learning efficiency through the use of data visualization techniques, enabling humans to label clusters of data points simultaneously rather than individually, optimizing human feedback usage.[65]
2022 December 12 Competence-Aware Systems CHAI researcher Justin Svegliato publishes a paper in the Artificial Intelligence Journal on competence-aware systems (CAS). CAS are designed to understand and reason about their own competence and adjust their level of autonomy based on interactions with human authority, optimizing autonomy in varying situations.[66]
2022 December 29 Cognitive Research Published CHAI researcher Tom Lenaerts co-authors a publication in Nature titled "Fast deliberation is related to unconditional behaviour in iterated Prisoners’ Dilemma experiments." The research investigates the relationship between cognitive effort and social value orientation, analyzing how response times in strategic situations reflect different social behaviors.[67]
2023 March 10 AI Takeover Scenarios Research CHAI begins contributing to discussions on AI takeover scenarios, focusing on maximizing objectives like productive output, leading to outer misalignment and potential existential risks. Research examines AI's impact on critical resources for humans and challenges in safely deploying transformative AI due to competitive pressures, emphasizing robust AI alignment and regulation.[68]
2023 June 16-18 7th Annual CHAI Workshop CHAI hosts its 7th annual workshop at Asilomar Conference Grounds, Pacific Grove, California. Nearly 200 attendees participate in discussions, lightning talks, and group activities on AI safety and alignment research. Casual activities like beach walks and bonfires build community within the AI safety field.[69]
2023 September 22 Workshop CHAI holds a virtual sister workshop on the Ethical Design of AIs (EDAI) that complements the Provably Safe and Beneficial AI (PSBAI) workshop. The sessions focus on ethical principles, human-centered AI design, governance, and addressing domain-specific challenges in implementing ethical AI systems.[70]
2023 September 7 TIME100 Recognition Stuart Russell, founder of CHAI and professor at UC Berkeley, is named one of TIME's 100 Most Influential People in AI. Recognized as a leading thinker in AI safety, Russell is acknowledged for his contributions to responsible AI development and advocacy for AI safety, including support for pausing large-scale AI experiments.[71]
2023 May 2023 ACM’s AAAI Allen Newell Award Stuart Russell, Professor at UC Berkeley and founder of CHAI, receives the ACM’s AAAI Allen Newell Award for foundational contributions to AI. The award honors career achievements with a broad impact within computer science or across multiple disciplines. Russell is noted for his work, including the widely used textbook "Artificial Intelligence: A Modern Approach" and his focus on AI safety.[72]
2023 November 10 AI and Peace Talk Jonathan Stray, CHAI Senior Scientist, presents a talk titled “Orienting AI Toward Peace” at Stanford's "Beyond Moderation: How We Can Use Technology to De-Escalate Political Conflict" conference. He proposes strategies for AI to avoid escalating political conflicts, including defining desirable conflicts, developing conflict indicators, and incorporating this feedback into AI objectives.[73]

Visual data

Wikipedia Views

CHCAI WV.jpeg


Meta information on the timeline

How the timeline was built

The initial version of the timeline was written by Issa Rice.

Funding information for this timeline is available.

What the timeline is still missing

Timeline update strategy

See also

External links

References

  1. ↑ "UC Berkeley launches Center for Human-Compatible Artificial Intelligence". Berkeley News. August 29, 2016. Retrieved July 26, 2017. 
  2. ↑ "Open Philanthropy Project donations made (filtered to cause areas matching AI risk)". Retrieved July 27, 2017. 
  3. ↑ "[1611.08219] The Off-Switch Game". Retrieved February 9, 2018. 
  4. ↑ 4.0 4.1 "2018 AI Safety Literature Review and Charity Comparison - Effective Altruism Forum". Retrieved February 9, 2018. 
  5. ↑ "Center for Human-Compatible AI". Retrieved February 9, 2018. 
  6. ↑ "Center for Human-Compatible AI". Archived from the original on February 9, 2018. Retrieved February 9, 2018. 
  7. ↑ "[1705.09990] Should Robots be Obedient?". Retrieved February 9, 2018. 
  8. ↑ "Rosie Campbell - BBC R&D". Archived from the original on May 11, 2018. Retrieved May 11, 2018. Rosie left in October 2017 to take on the role of Assistant Director of the Center for Human-compatible AI at UC Berkeley, a research group which aims to ensure that artificially intelligent systems are provably beneficial to humans. 
  9. ↑ "Information Acquisition Under Resource Limitations in a Noisy Environment". February 1, 2018. Retrieved September 30, 2024. 
  10. ↑ "Anca Dragan on AI Value Alignment". February 7, 2018. Retrieved September 30, 2024. 
  11. ↑ "Expressing Robot Incapability". ACM/IEEE International Conference. February 26, 2018. Retrieved September 30, 2024. 
  12. ↑ "Learning from Physical Human Corrections, One Feature at a Time". March 8, 2018. Retrieved September 30, 2024. 
  13. ↑ Bensinger, Rob (March 25, 2018). "March 2018 Newsletter - Machine Intelligence Research Institute". Machine Intelligence Research Institute. Retrieved May 10, 2018. Andrew Critch, previously on leave from MIRI to help launch the Center for Human-Compatible AI and the Berkeley Existential Risk Initiative, has accepted a position as CHAI’s first research scientist. Critch will continue to work with and advise the MIRI team from his new academic home at UC Berkeley. Our congratulations to Critch! 
  14. ↑ "Center for Human-Compatible AI". Archived from the original on April 4, 2018. Retrieved May 10, 2018. 
  15. ↑ "Center for Human-Compatible AI". Archived from the original on April 12, 2018. Retrieved May 10, 2018. 
  16. ↑ Shah, Rohin (April 9, 2018). "Announcing the Alignment Newsletter". LessWrong. Retrieved May 10, 2018. 
  17. ↑ "Alignment Newsletter". Rohin Shah. Archived from the original on May 10, 2018. Retrieved May 10, 2018. 
  18. ↑ "Center for Human-Compatible AI Workshop 2018". Archived from the original on February 9, 2018. Retrieved February 9, 2018. 
  19. ↑ "A Broader View on Bias in Automated Decision-Making". ICML 2018. July 2, 2018. Retrieved September 30, 2024. 
  20. ↑ "Exploring Hierarchy-Aware Inverse Reinforcement Learning". Goal Specifications Workshop. July 13, 2018. Retrieved September 30, 2024. 
  21. ↑ "Active Inverse Reward Design". Goal Specifications Workshop. July 14, 2018. Retrieved September 30, 2024. 
  22. ↑ "An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning". ICML 2018. July 16, 2018. Retrieved September 30, 2024. 
  23. ↑ "MIRI AI Alignment Workshop". Machine Intelligence Research Institute. August 26, 2018. Retrieved September 30, 2024. 
  24. ↑ "Jaime Fisac AI Safety Research". CHAI. September 4, 2018. Retrieved September 30, 2024. 
  25. ↑ "Top Women in AI Ethics". Lighthouse3. October 31, 2018. Retrieved September 30, 2024. 
  26. ↑ "NeurIPS 2018 Conference". NeurIPS. December 2018. Retrieved September 30, 2024. 
  27. ↑ "AI Alignment Podcast: Rohin Shah". Future of Life Institute. December 2018. Retrieved September 30, 2024. 
  28. ↑ "The Case for Taking AI Seriously as a Threat to Humanity". Vox. December 2018. Retrieved Septmeber 30, 2024.  Check date values in: |access-date= (help)
  29. ↑ "CHAI News January 8, 2019". Retrieved September 30, 2024. 
  30. ↑ "CHAI News January 15, 2019". Retrieved September 30, 2024. 
  31. ↑ "CHAI News January 17, 2019". Retrieved September 30, 2024. 
  32. ↑ "CHAI News January 21, 2019". Retrieved September 30, 2024. 
  33. ↑ "CHAI News March 20, 2019". Retrieved September 30, 2024. 
  34. ↑ "CHAI News May 20, 2019". Retrieved September 30, 2024. 
  35. ↑ "CHAI News May 24, 2019". Retrieved September 30, 2024. 
  36. ↑ "CHAI News May 30, 2019". Retrieved September 30, 2024. 
  37. ↑ "CHAI News July 5, 2019". Retrieved September 30, 2024. 
  38. ↑ "WIRED Article by Mark Nitzberg". August 15, 2019. Retrieved September 30, 2024. 
  39. ↑ "CHAI News August 16, 2019". Retrieved September 30, 2024. 
  40. ↑ "CHAI News August 28, 2019". Retrieved September 30, 2024. 
  41. ↑ "CHAI News September 28, 2019". Retrieved September 30, 2024. 
  42. ↑ "CHAI News October 8, 2019". Retrieved September 30, 2024. 
  43. ↑ "CHAI Holds Its First Virtual Workshop". CHAI. June 1, 2020. Retrieved October 7, 2024. 
  44. ↑ "Six New PhD Students Join CHAI". CHAI. September 1, 2020. Retrieved October 7, 2024. 
  45. ↑ "IJCAI-20 Accepts Two Papers by CHAI PhD Student Rachel Freedman". CHAI. September 10, 2020. Retrieved October 7, 2024. 
  46. ↑ "Brian Christian Publishes The Alignment Problem". CHAI. October 10, 2020. Retrieved October 7, 2024. 
  47. ↑ "Watch the Book Launch of The Alignment Problem in Conversation with Brian Christian and Nora Young". CHAI. November 5, 2020. Retrieved October 7, 2024. 
  48. ↑ "CHAI Internship Application Is Now Open". CHAI. November 12, 2020. Retrieved October 7, 2024. 
  49. ↑ "CHAI and BERI Receive Donations". CHAI. December 20, 2020. Retrieved October 7, 2024. 
  50. ↑ "Daniel Filan Launches AI X-risk Research Podcast". Center for Human-Compatible AI. January 6, 2021. Retrieved October 7, 2024. 
  51. ↑ "Tom Gilbert Published in IEEE ISTAS20". Center for Human-Compatible AI. February 5, 2021. Retrieved October 7, 2024. 
  52. ↑ "Stuart Russell on The Munk Debates". Center for Human-Compatible AI. February 9, 2021. Retrieved October 7, 2024. 
  53. ↑ "Michael Dennis". TalkRL Podcast. January 25, 2021. Retrieved October 7, 2024. 
  54. ↑ "CHAI Faculty and Affiliates Publish at AAAI 2021". Center for Human-Compatible AI. March 18, 2021. Retrieved October 7, 2024. 
  55. ↑ "Brian Christian's "The Alignment Problem" wins the Excellence in Science Communication Award". Center for Human-Compatible AI. November 1, 2022. Retrieved October 7, 2024. 
  56. ↑ "Professor Stuart Russell and Caroline Jeanmaire Organize Virtual Workshop Titled "AI Economic Futures"". Center for Human-Compatible AI. April 19, 2020. Retrieved October 7, 2024. 
  57. ↑ "Fifth Annual CHAI Workshop". Center for Human-Compatible AI. June 16, 2021. Retrieved October 7, 2024. 
  58. ↑ "NeurIPS MineRL BASALT Competition Launches". Center for Human-Compatible AI. July 9, 2021. Retrieved October 7, 2024. 
  59. ↑ "Birthday Honours 2021: Overseas and International List". GOV.UK. June 11, 2021. Retrieved October 7, 2024. 
  60. ↑ "CHAI Internship Applications are Open". LessWrong. October 26, 2021. Retrieved October 7, 2024. 
  61. ↑ "New Papers Published". Center for Human-Compatible AI. January 18, 2022. Retrieved October 7, 2024. 
  62. ↑ "Schmidt Futures Launches AI2050 to Protect Our Human Future in the Age of Artificial Intelligence". Center for Human-Compatible AI. February 17, 2022. Retrieved October 7, 2024. 
  63. ↑ "Progress Report". Center for Human-Compatible AI. May 31, 2023. Retrieved October 7, 2024. 
  64. ↑ "Progress Report". Center for Human-Compatible AI. May 31, 2023. Retrieved October 7, 2024. 
  65. ↑ "Time-Efficient Reward Learning via Visually Assisted Cluster Ranking". Center for Human-Compatible AI. November 18, 2022. Retrieved October 7, 2024. 
  66. ↑ "Competence-Aware Systems". Center for Human-Compatible AI. December 12, 2022. Retrieved October 7, 2024. 
  67. ↑ "Fast Deliberation is Related to Unconditional Behaviour in Iterated Prisoners' Dilemma Experiments". Center for Human-Compatible AI. December 29, 2022. Retrieved October 7, 2024. 
  68. ↑ "Distinguishing AI takeover scenarios". AI Alignment Forum. March 10, 2023. Retrieved October 7, 2024. 
  69. ↑ "Seventh Annual CHAI Workshop". Center for Human-Compatible AI. June 20, 2023. Retrieved October 7, 2024. 
  70. ↑ "Progress Report". CHAI. 2023. Retrieved October 7, 2024. 
  71. ↑ "100 Most Influential People in AI". Center for Human-Compatible AI. September 18, 2023. Retrieved October 7, 2024. 
  72. ↑ "Stuart Russell receives ACM's AAAI Allen Newell Award". Berkeley Engineering. May 4, 2023. Retrieved October 7, 2024. 
  73. ↑ "Orienting AI Toward Peace". Center for Human-Compatible AI. November 21, 2023. Retrieved October 7, 2024. 
Retrieved from "http://timelines.issarice.com/index.php?title=Timeline_of_Center_for_Human-Compatible_AI&oldid=82353"