Fetching the paper…
Reading the bibliography…
Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI models should be shared.
“Energy and Policy Considerations for Deep Learning in NLP”, 2019
Emma Strubell, Ananya Ganesh and Andrew McCallum · 1906
Earlier work this paper cites.
“Release Strategies and the Social Impacts of Language Models”, 2019
Irene Solaiman et al · 1908
Earlier work this paper cites.
“The Tension between Openness and Prudence in AI Research”, 2020
Jess Whittlestone and Aviv Ovadya · 1910
Earlier work this paper cites.
“Restatement of the Law (Second) Torts”
American Law Institute · 1965
Earlier work this paper cites.
“Cooperation under the Security Dilemma”
Robert Jervis · 1978
Earlier work this paper cites.
“The Economic Structure of Tort Law:”
William. Landes and Richard. Posner · 1987
Earlier work this paper cites.
“Restatement of the Law (Third) Torts: Products Liability”
American Law Institute · 1998
Earlier work this paper cites.
Beijing ; Sebastopol, CA: O’Reilly, 1999
“Open Sources: Voices from the Open Source Revolution” · 1999
Earlier work this paper cites.
“The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?”, 2020
Toby Shevlane and Allan Dafoe · 2001
Earlier work this paper cites.
“Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing”, 2020
Inioluwa Raji, Andrew Smart, Rebecca. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron and Parker Barnes · 2001
Earlier work this paper cites.
“Applications of Probabilistic Safety Assessment (PSA) for Nuclear Power Plants”, 2001
International Agency · 2001
Earlier work this paper cites.
“The Restatement (Third) and the Place of Duty in Negligence Law”
John.. Goldberg and Benjamin. Zipursky · 2001
Earlier work this paper cites.
“Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims”, 2020
Miles Brundage et al · 2004
Earlier work this paper cites.
“Measuring Massive Multitask Language Understanding”, 2021
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song and Jacob Steinhardt · 2009
Earlier work this paper cites.
“How to Spot Openwashing”, 2011
Klint Finley · 2011
Earlier work this paper cites.
“Responsible Disclosure of Generative Models Using Scalable Fingerprinting”, 2022
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis and Mario Fritz · 2012
Earlier work this paper cites.
“An Empirical Study of Web Vulnerability Discovery Ecosystems”
Mingyi Zhao, Jens Grossklags and Peng Liu · 2015
Earlier work this paper cites.
“Policing Predictive Policing”
Andrew Ferguson · 2017
Earlier work this paper cites.
“Hey, My Malware Knows Physics! Attacking PLCs with Physical Model Aware Rootkit”
Luis. Garcia, Ferdinand Brasser, Mehmet. Cintuglu, Ahmad-Reza Sadeghi, Osama Mohammed and Saman. Zonouz · 2017
Earlier work this paper cites.
“The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation”, 2018
Miles Brundage et al · 2018
Earlier work this paper cites.
“The Evolution of Fraud: Ethical Implications in the Age of Large-Scale Data Breaches and Widespread Artificial Intelligence Solutions Deployment”
Abhishek Gupta · 2018
Earlier work this paper cites.
“DeepLocker: How AI Can Power a Stealthy New Breed of Malware”, 2018
Marc. Stoecklin, Jiyong Jang and Dhilung Kirat · 2018
Earlier work this paper cites.
“Why Linux Runs 90 Percent of the Public Cloud Workload”, 2018
Team Nuggets · 2018
Earlier work this paper cites.
“Thinking About Risks From AI: Accidents, Misuse and Structure”, 2019
Remco Zwetsloot and Allan Dafoe · 2019
Earlier work this paper cites.
“Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass”
Mary. Gray and Siddharth Suri · 2019
Earlier work this paper cites.
“AI Now 2019 Report”, 2019
Kate Crawford et al · 2019
Earlier work this paper cites.
“The Global Expansion of AI Surveillance”, 2019
Steven Feldstein · 2019
Earlier work this paper cites.
“Dynamic Traffic Feature Camouflaging via Generative Adversarial Networks”
Jie Li, Lu Zhou, Huaxin Li, Lu Yan and Haojin Zhu · 2019
Earlier work this paper cites.
“Why We Released Grover”, 2019
Rowan Zellers · 2019
Earlier work this paper cites.
“How Does the Offense-Defense Balance Scale?”
Ben Garfinkel and Allan Dafoe · 2019
Earlier work this paper cites.
“Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products”
Inioluwa Raji and Joy Buolamwini · 2019
Earlier work this paper cites.
“A National Security Research Agenda for Cybersecurity and Artificial Intelligence”, 2020
Center for Security and Emerging Technology and Ben Buchanan · 2020
Earlier work this paper cites.
“OpenAI’s GPT-3 Language Model: A Technical Overview”, 2020
Chuan Li · 2020
Earlier work this paper cites.
“The Digital Dictators”
Andrea Kendall-Taylor, Erica Frantz and Joseph Wright · 2020
Earlier work this paper cites.
“Detection, Assessment and Mitigation of Vulnerabilities in Open Source Dependencies”
Serena Ponta, Henrik Plate and Antonino Sabetta · 2020
Earlier work this paper cites.
“The Windfall Clause: Distributing the Benefits of AI”, 2020
Cullen O’Keefe, Peter Cihon, Ben Garfinkel, Carrick Flynn, Jade Leung and Allan Dafoe · 2020
Earlier work this paper cites.
“Datasets”, 2020
BigCode · 2020
Earlier work this paper cites.
“How Open-Source Software Shapes AI Policy”, 2021
Alex Engler · 2021
Earlier work this paper cites.
“Fraudsters Cloned Company Director’s Voice In $35 Million Heist, Police Find”, 2021
Thomas Brewster · 2021
Earlier work this paper cites.
“Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence”
Kate Crawford · 2021
Earlier work this paper cites.
“Carbon Emissions and Large Neural Network Training”, 2021
David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier and Jeff Dean · 2021
Earlier work this paper cites.
“The Threat of Offensive AI to Organizations”, 2021
Yisroel Mirsky et al · 2021
Earlier work this paper cites.
“GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model”, https://github.com/kingoflolz/mesh-transformer-jax , 2021
Ben Wang and Aran Komatsuzaki · 2021
Earlier work this paper cites.
“Beyond “Release” vs. “Not Release””, 2021
Girish Sastry · 2021
Earlier work this paper cites.
“Ethical and Social Risks of Harm from Language Models”, 2021
Laura Weidinger et al · 2021
Earlier work this paper cites.
“To Repress or to Co-opt? Authoritarian Control in the Age of Digital Surveillance”
Xu Xu · 2021
Earlier work this paper cites.
“LoRA: Low-Rank Adaptation of Large Language Models”, 2021
Edward. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang and Weizhu Chen · 2021
Earlier work this paper cites.
“The Roadmap to an Effective AI Assurance Ecosystem”, 2021
Centre for Data Ethics and Innovation · 2021
Earlier work this paper cites.
“Key Concepts in AI Safety: An Overview”, 2021
Center for Security and Emerging Technology, Tim Rudner and Helen Toner · 2021
Earlier work this paper cites.
“OpenCLIP”, 2021
Gabriel Ilharco et al · 2021
Earlier work this paper cites.
“Moore’s Law for Everything”, 2021
Sam Altman · 2021
Earlier work this paper cites.
“Radical Proposal: Universal Basic Income to Offset Job Losses Due to Automation”, 2021
Katharine Miller · 2021
Earlier work this paper cites.
“Managing the Risks of AI Research: Six Recommendations for Responsible Publication”, 2021
Partnership on AI · 2021
Earlier work this paper cites.
“Training Compute-Optimal Large Language Models”, 2022
Jordan Hoffmann et al · 2022
Earlier work this paper cites.
“How Open Source Machine Learning Software Shapes AI”
Max Langenkamp and Daniel. Yue · 2022
Earlier work this paper cites.
“The EU’s Attempt to Regulate Open-Source AI Is Counterproductive”, 2022
Alex Engler · 2022
Earlier work this paper cites.
“Structured Access: An Emerging Paradigm for Safe AI Deployment”, 2022
Toby Shevlane · 2022
Earlier work this paper cites.
“On the Opportunities and Risks of Foundation Models”, 2022
Rishi Bommasani et al · 2022
Earlier work this paper cites.
“High-Resolution Image Synthesis with Latent Diffusion Models”, 2022
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser and Björn Ommer · 2022
Earlier work this paper cites.
“Hierarchical Text-Conditional Image Generation with CLIP Latents”, 2022
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu and Mark Chen · 2022
Earlier work this paper cites.
“How Foundation Models Can Advance AI in Healthcare”, 2022
Jason Fries, Ethan Steinberg, Scott Fleming, Michael Wornow, Yizhe Xu, Keith Morse, Dev Dash and Nigam Shah · 2022
Earlier work this paper cites.
“On the Horizon: Interactive and Compositional Deepfakes”
Eric Horvitz · 2022
Earlier work this paper cites.
“Taxonomy of Risks Posed by Language Models”
Laura Weidinger et al · 2022
Earlier work this paper cites.
“Holistic Evaluation of Language Models”, 2022
Percy Liang et al · 2022
Earlier work this paper cites.
“Emergent Abilities of Large Language Models”, 2022
Jason Wei et al · 2022
Earlier work this paper cites.
“Dual Use of Artificial-Intelligence-Powered Drug Discovery”
Fabio Urbina, Filippa Lentzos, Cédric Invernizzi and Sean Ekins · 2022
Earlier work this paper cites.
“Mosaic LLMs (Part 2): GPT-3 Quality for < $ <\$ 500k”, 2022
Abhinav Venigalla and Li Linden · 2022
Earlier work this paper cites.
“Compute Trends Across Three Eras of Machine Learning”, 2022
Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn and Pablo Villalobos · 2022
Earlier work this paper cites.
“The Time Is Now to Develop Community Norms for the Release of Foundation Models”, 2022
Percy Liang, Rishi Bommasani, Kathleen. Creel and Rob Reich · 2022
Earlier work this paper cites.
“Red-Teaming the Stable Diffusion Safety Filter”, 2022
Javier Rando, Daniel Paleka, David Lindner, Lennart Heim and Florian Tramèr · 2022
Cited alongside, same era.
“The Ethics of Facial Recognition Technologies, Surveillance, and Accountability in an Age of Artificial Intelligence: A Comparative Analysis of US, EU, and UK Regulatory Frameworks”
Denise Almeida, Konstantin Shmarko and Elizabeth Lomas · 2022
Cited alongside, same era.
“A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States”
Arturas Kaklauskas, Ajith Abraham, Ieva Ubarte, Romualdas Kliukas, Vaida Luksaite, Arune Binkyte-Veliene, Ingrida Vetloviene and Loreta Kaklauskiene · 2022
Cited alongside, same era.
“Artificial Intelligence and Cybersecurity: Rising Challenges and Promising Directions”, 2022
Eric Horvitz · 2022
Cited alongside, same era.
“An Overview of Artificial Intelligence Used in Malware”
Lothar Fritsch, Aws Jaber and Anis Yazidi · 2022
Cited alongside, same era.
“RedPajama Replicates LLaMA Dataset to Build Open Source, State-of-the-Art LLMs”, 2023
Sharon Goldman · 2023
Closest in time.
“Towards a Definition of "Open Artificial Intelligence": First Meeting Recap”, 2023
Stefano Maffulli · 2023
Closest in time.
“Universal and Transferable Adversarial Attacks on Aligned Language Models”, 2023
Andy Zou, Zifan Wang, J. Kolter and Matt Fredrikson · 2023
Closest in time.
“Protecting Society from AI Misuse: When Are Restrictions on Capabilities Warranted?”, 2023
Markus Anderljung and Julian Hazell · 2023
Closest in time.
“Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations”, 2023
Josh. Goldstein, Girish Sastry, Micah Musser, Renee DiResta, Matthew Gentzel and Katerina Sedova · 2023
Closest in time.
“Inside CounterCloud: A Fully Autonomous AI Disinformation System”, 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Trends in GPU Price-Performance”, 2022
Marius Hobbhahn · 2022
Cited alongside, same era.
“Investigating Bugs in AI-Infused Systems: Analysis and Proposed Taxonomy”
Mohamad Kassab, Joanna DeFranco and Phillip Laplante · 2022
Cited alongside, same era.
“The Artefacts of Intelligence: Governing Scientists’ Contribution to AI Proliferation”, 2022
Toby Shevlane · 2022
Cited alongside, same era.
“A Hazard Analysis Framework for Code Synthesis Large Language Models”, 2022
Heidy Khlaaf, Pamela Mishkin, Joshua Achiam, Gretchen Krueger and Miles Brundage · 2022
Cited alongside, same era.
“DALL·E 2 Preview - Risks and Limitations”, 2022
OpenAI · 2022
Cited alongside, same era.
“Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned”, 2022
Deep Ganguli et al · 2022
Cited alongside, same era.
“Who Audits the Auditors? Recommendations from a Field Scan of the Algorithmic Auditing Ecosystem”
Sasha Costanza-Chock, Inioluwa Raji and Joy Buolamwini · 2022
Cited alongside, same era.
MJ Banias · 2023
Closest in time.
“Whoever Controls Language Models Controls Politics”, 2023
Hannes Bajohr · 2023
Closest in time.
“Large Language Models Can Be Used To Effectively Scale Spear Phishing Campaigns”, 2023
Julian Hazell · 2023
Closest in time.
“WormGPT - The Generative AI Tool Cybercriminals Are Using to Launch BEC Attacks”, 2023
Daniel Kelley · 2023
Closest in time.
“Emergent Autonomous Scientific Research Capabilities of Large Language Models”, 2023
Daniil. Boiko, Robert MacKnight and Gabe Gomes · 2023
Closest in time.
“ChemCrow: Augmenting Large-Language Models with Chemistry Tools”, 2023
Andres. Bran, Sam Cox, Andrew. White and Philippe Schwaller · 2023
Closest in time.
“Can Large Language Models Democratize Access to Dual-Use Biotechnology?”, 2023
Emily. Soice, Rafael Rocha, Kimberlee Cordova, Michael Specter and Kevin. Esvelt · 2023
Closest in time.
“GPT-4 System Card”, 2023
OpenAI · 2023
Closest in time.
“AI Leaders Warn Congress That AI Could Be Used to Create Bioweapons”
De Gerrit · 2023
Closest in time.
“Text - S.2399 - 118th Congress (2023-2024): Artificial Intelligence and Biosecurity Risk Assessment Act”, 2023
Edward. Markey[D-MA] · 2023
Closest in time.
“Chapter 5: Education”
Nestor Maslej et al · 2023
Closest in time.
“Llama 2: Open Foundation and Fine-Tuned Chat Models”, 2023
Hugo Touvron et al · 2023
Closest in time.
“GPU Instance Pricing”, 2023
RunPod · 2023
Closest in time.
“Why GPT-3.5 Is (Mostly) Cheaper than Llama 2”, 2023
Aman · 2023
Closest in time.
“I-JEPA: The First AI Model Based on Yann LeCun’s Vision for More Human-like AI”, 2023
Meta AI · 2023
Closest in time.
“Should ChatGPT Be Biased? Challenges and Risks of Bias in Large Language Models”, 2023
Emilio Ferrara · 2023
Closest in time.
“What Is Auto-GPT and Why Does It Matter? | TechCrunch”, 2023
Kyle Wiggers · 2023
Closest in time.
“Home”, 2023
Auto-GPT · 2023
Closest in time.
“(Ab)Using Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs”, 2023
Eugene Bagdasaryan, Tsung-Yin Hsieh, Ben Nassi and Vitaly Shmatikov · 2023
Closest in time.
“2023 OSSRA: A Deep Dive into Open Source Trends”, 2023
Synopsys Editorial Team · 2023
Closest in time.
“Eight Things to Know about Large Language Models”, 2023
Samuel. Bowman · 2023
Closest in time.
“Auditing Large Language Models: A Three-Layered Approach”
Jakob Mökander, Jonas Schuett, Hannah Kirk and Luciano Floridi · 2023
Closest in time.
“Update on ARC’s Recent Eval Efforts: More information about ARC’s evaluations of GPT-4 and Claude”, 2023
ARC Evals · 2023
Closest in time.
“OpenAI’s Red Team: The Experts Hired to ‘Break’ ChatGPT”
Madhumita Murgia · 2023
Closest in time.
“AI Safety Bounties”, 2023
Patrick Levermore · 2023
Closest in time.
“When Openness Fails: Towards a More Robust Governance Framework for Generative AI”
Emily Dardaman and Abhishek Gupta · 2023
Closest in time.
“QLoRA: Efficient Finetuning of Quantized LLMs”, 2023
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman and Luke Zettlemoyer · 2023
Closest in time.
“The False Promise of Imitating Proprietary LLMs”, 2023
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine and Dawn Song · 2023
Closest in time.
“Larger Language Models Do In-Context Learning Differently”, 2023
Jerry Wei et al · 2023
Closest in time.
“The Global AI Talent Tracker”, 2023
MacroPolo · 2023
Closest in time.
“Petition for Keeping up the Progress Tempo on AI Research While Securing Its Transparency and Safety”, 2023
LAION.ai · 2023
Closest in time.
“Let’s Speed Up AI”, 2023
Daniel Jeffries · 2023
Closest in time.
“Pause Giant AI Experiments: An Open Letter”, 2023
Future of Life Institute · 2023
Closest in time.
“International Institutions for Advanced AI”, 2023
Lewis Ho et al · 2023
Closest in time.
“The World Needs an International Agency for Artificial Intelligence, Say Two AI Experts”
Gary Marcus and Anka Reuel · 2023
Closest in time.
“Towards Best Practices in AGI Safety and Governance: A Survey of Expert Opinion”, 2023
Jonas Schuett, Noemi Dreksler, Markus Anderljung, David McCaffary, Lennart Heim, Emma Bluemke and Ben Garfinkel · 2023
Closest in time.
“Independence by Permission”
Michael. Wagner · 2023
Closest in time.
“AI Safety and the Age of Dislightenment: Model Licensing & Surveillance Will Likely Be Counterproductive by Concentrating Power in Unsustainable Ways”, 2023
Jeremy Howard · 2023
Closest in time.
“A Call to Protect Open-Source AI in Europe”, 2023
LAION.ai · 2023
Closest in time.
“Democratising AI: Multiple Meanings, Goals, and Methods”
Elizabeth Seger, Aviv Ovadya, Divya Siddarth, Ben Garfinkel and Allan Dafoe · 2023
Closest in time.
“Google "We Have No Moat, And Neither Does OpenAI": Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI”, 2023
Dylan Patel and Afzal Ahmad · 2023
Closest in time.
“Chapter 7: Diversity”
Nestor Maslej et al · 2023
Closest in time.
“EleutherAI Is a Non-Profit AI Research Lab That Focuses on Interpretability and Alignment of Large Models”, 2023
EleutherAI · 2023
Closest in time.
“Input Crowd, Output Meaning”, 2023
Polis · 2023
Closest in time.
“Can A.I. and Democracy Fix Each Other?”, 2023
Peter Coy · 2023
Closest in time.
“Alignment Assemblies”, 2023
The Collective Intelligence Project · 2023
Closest in time.
“Meta Ran a Giant Experiment in Governance. Now It’s Turning to AI”, 2023
Aviv Ovadya · 2023
Closest in time.
“‘Platform Democracy’—a Very Different Way to Govern Big Tech: Facebook Is Trying ~ It. Twitter, Google, OpenAI, and Other Companies Should Too.”, 2023
Aviv Ovadya · 2023
Closest in time.
“Democratic Inputs to AI”, 2023
Wojciech Zaremba, Arka Dhar, Lama Ahmad, Tyna Eloundou, Shibani Shibani, Sandhini Agarwal and Jade Leung · 2023
Closest in time.
“FACT SHEET: Biden-Harris Administration Secures Voluntary Commitments from Leading Artificial Intelligence Companies to Manage the Risks Posed by AI”, 2023
The House · 2023
Closest in time.
“Risk Management in the Artificial Intelligence Act”
Jonas Schuett · 2023
Closest in time.
“AI Risk Management Framework: AI RMF (1.0)”, 2023, pp. error: NIST AI 100–1
Elham Tabassi · 2023
Closest in time.
“UC Berkeley AI Risk-Management Standards Profile for General-Purpose AI Systems (GPAIS) and Foundation Models”, 2023
Center for Long-Term Cybersecurity · 2023
Closest in time.
“Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks”, 2023
Anthony. Barrett, Dan Hendrycks, Jessica Newman and Brandie Nonnecke · 2023
Closest in time.
“Model Card and Evaluations for Claude Models”, 2023
Anthropic · 2023
Closest in time.
“ISO/IEC 23894:2023”, 2023
ISO · 2023
Closest in time.
“PAI Is Collaboratively Developing Shared Protocols for Large-Scale AI Model Safety”, 2023
Partnership on AI Staff · 2023
Closest in time.
“Microsoft, Anthropic, Google, and OpenAI Launch Frontier Model Forum”, 2023
Microsoft · 2023
Closest in time.
“The European AI Liability Directives – Critique of a Half-Hearted Approach and Lessons for the Future”
Philipp Hacker · 2023
Closest in time.
“Proposing a Foundation Model Information-Sharing Regime for the UK | GovAI Blog”, 2023
Nikhil Mulani and Jess Whittlestone · 2023
Closest in time.
“How to Prevent an AI Catastrophe”
Markus Anderljung and Paul Scharre · 2023
Closest in time.
“The Heated Debate Over Who Should Control Access to AI”, 2023
Will Henshall · 2023
Closest in time.
“Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes”
David Widder, Dawn Nafus, Laura Dabbish and James Herbsleb · 2046
Closest in time.