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AI systems are increasingly pervasive, yet information needed to decide whether and how to engage with them may not exist or be accessible.
Why and Where: A Characterization of Data Provenance
Peter Buneman, Sanjeev Khanna, and Tan Wang-Chiew · 2001
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A survey of data provenance techniques
Yogesh L Simmhan, Beth Plale, Dennis Gannon, and others · 2005
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Internet X.509 public key infrastructure certificate and certificate revocation list (CRL) profile
David Cooper, Stefan Santesson, Stephen Farrell, Sharon Boeyen, Russell Housley, and William Polk · 2008
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Beyond Privacy Trade-offs with Structured Transparency, March 2024
Andrew Trask, Emma Bluemke, Teddy Collins, Ben Garfinkel Eric Drexler, Claudia Ghezzou Cuervas-Mons, Iason Gabriel, Allan Dafoe, and William Isaac · 2012
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The ABC of ABC: An analysis of attribute-based credentials in the light of data protection, privacy and identity
P.E.I. Korenhof, Merel Koning, Gergely Alpár, and J.H. Hoepman · 2014
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Are you a robot? Introducing "No CAPTCHA reCAPTCHA", December 2014
Vinay Shet · 2014
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Proof-of-Personhood: Redemocratizing Permissionless Cryptocurrencies
Maria Borge, Eleftherios Kokoris-Kogias, Philipp Jovanovic, Linus Gasser, Nicolas Gailly, and Bryan Ford · 2017
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The transport layer security (TLS) protocol version 1.3
Eric Rescorla · 2018
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Automatic certificate management environment (acme)
Richard Barnes, Jacob Hoffman-Andrews, Daniel McCarney, and James Kasten · 2019
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Model Cards for Model Reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru · 2019
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The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith · 2019
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Software Component Verification Standard
Steve Springett, Dave Russo, Garret Fick, JC Herz, John Scott, Mark Symons, Pruthvi Nallapareddy, and Bryan Garcia · 2019
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States’ Automated Systems Are Trapping Citizens in Bureaucratic Nightmares With Their Lives on the Line
Alejandro De La Garza · 2020
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Personality, emotion and individual differences in response to online fraud
Gareth Norris and Alexandra Brookes · 2020
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Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, and Parker Barnes · 2020
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Transformers: State-of-the-Art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush · 2020
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Post Office scandal explained: What the Horizon saga is all about
BBC · 2021
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Datasheets for datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé Iii, and Kate Crawford · 2021
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HTTPS Is Actually Everywhere, September 2021
Alexis Hancock · 2021
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Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography, July 2021
Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, and Minhui Xue · 2021
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Federal Register , January 2022
12 CFR § 1026.25 - Record retention · 2022
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ACT-1: Transformer for Actions, September 2022
Adept · 2022
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Constitutional AI: Harmlessness from AI Feedback, December 2022
Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosuite, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemi Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, and Jared Kaplan · 2022
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RFC 9110: HTTP semantics, 2022
R Fielding, M Nottingham, and J Reschke · 2022
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Training Compute-Optimal Large Language Models, March 2022
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, and Laurent Sifre · 2022
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The Fallacy of AI Functionality
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, and Andrew Selbst · 2022
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Secure Software Development Framework (SSDF) Version 1.1: Recommendations for Mitigating the Risk of Software Vulnerabilities
Murugiah Souppaya, Karen Scarfone, and Donna Dodson · 2022
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Decentralized Identifiers (DiDs) v1.0
Manu Sporny, Dave Longley, Drummond Reed, Markus Sabadello, Orie Steele, and Christopher Allen · 2022
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Ecosystem Graphs: The Social Footprint of Foundation Models, March 2023
Rishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, and Percy Liang · 2023
Earlier work this paper cites.
The law and economics of AI liability
Miriam Buiten, Alexandre de Streel, and Martin Peitz · 2023
Cited alongside, same era.
C2PA Technical Specification, 2023
C2PA · 2023
Cited alongside, same era.
Harms from Increasingly Agentic Algorithmic Systems
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, and Tegan Maharaj · 2023
Cited alongside, same era.
Data, privacy, and security for Azure OpenAI Service - Azure AI services, June 2023
ChrisHMSFT, PatrickFarley, mrbullwinkle, eric urban, and aahill · 2023
Cited alongside, same era.
Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers, October 2023
Janet Egan and Lennart Heim · 2023
Cited alongside, same era.
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models, November 2023
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, and Boaz Barak · 2023
Later among the works it cites.
Universal and Transferable Adversarial Attacks on Aligned Language Models, July 2023
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, and Matt Fredrikson · 2023
Later among the works it cites.
Many-Shot In-Context Learning, April 2024
Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, and Hugo Larochelle · 2024
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invariantlabs-ai/invariant, July 2024
Luca Beurer-Kellner, Mislav Balunovic, and Marc Fischer · 2024
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Our Approach to Labeling AI-Generated Content and Manipulated Media, April 2024
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Key trends and figures in Machine Learning, 2023
Epoch · 2023
Cited alongside, same era.
Algorithmic progress in computer vision, 2023
Ege Erdil and Tamay Besiroglu · 2023
Cited alongside, same era.
What’s going on with the Open LLM Leaderboard?, June 2023
Clémentine Fourrier, Nathan Habib, Julien Launay, and Thomas Wolf · 2023
Cited alongside, same era.
Reward Reports for Reinforcement Learning
Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron Snoswell, and Soham Mehta · 2023
Cited alongside, same era.
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz · 2023
Cited alongside, same era.
Understanding HTML with Large Language Models, May 2023
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, and Aleksandra Faust · 2023
Cited alongside, same era.
National Cybersecurity Strategy
The White House · 2023
Cited alongside, same era.
Monika Bickert · 2024
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Product liability for defective AI
Miriam C. Buiten · 2024
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Visibility into AI Agents, February 2024
Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, and Markus Anderljung · 2024
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Stav Cohen, Ron Bitton, and Ben Nassi · 2024
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Let’s Encrypt Stats - Let’s Encrypt, January 2024
Let’s Encrypt · 2024
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Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, and Izzeddin Gur · 2024
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The Ethics of Advanced AI Assistants, April 2024
Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomašev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, and James Manyika · 2024
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Digital Watermarks Are Not Ready for Large Language Models, February 2024
Bob Gleichauf and Dan Geer · 2024
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Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust · 2024
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Algorithmic progress in language models, March 2024
Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, and Jaime Sevilla · 2024
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SWE-bench: Can Language Models Resolve Real-World GitHub Issues?, April 2024
Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan · 2024
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Governing AI Agents, April 2024
Noam Kolt · 2024
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A Survey of Text Watermarking in the Era of Large Language Models, January 2024
Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, and Philip S. Yu · 2024
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A Protocol Sketch For LLM Communication, April 2024
Samuele Marro · 2024
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Artificial Intelligence Act, March 2024
European Parliament · 2024
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GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications, April 2024
Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, and Ion Stoica · 2024
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Auto-GPT-Plugins, 2024
Significant-Gravitas · 2024
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Verifiable Credentials Data Model v2.0
Manu Sporny, Dave Longley, David Chadwick, and Orie Steele · 2024
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Designing Incident Reporting Systems for Harms from AI
Kevin Wei and Lennart Heim · 2024
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Care for Chatbots, May 2024
Peter Wills · 2024
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Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, and Tao Yu · 2024
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Qiusi Zhan, Zhixiang Liang, Zifan Ying, and Daniel Kang · 2024
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We Need to Control AI Agents Now, July 2024
Jonathan Zittrain · 2024
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Open Software Supply Chain Attack Reference (OSC&R), 2024
Neatsun Ziv, Lior Arzi, Eyal Paz, David Cross, Hiroki Suezawa, Naor Penso, Shai Sivan, Dineshwar Sahni, Maxim Kovalsky, Chenxi Wang, Roy Feintuch, Hadas Harel Lavie, Ronen Atias, and Gadi Evron · 2024
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