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This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw), held in July 2023.
Allocating Ownership Rights in Computer-Generated Works
Pamela Samuelson · 1985
Earlier work this paper cites.
Biological metaphors in designing modular artificial neural networks
Egbert JW Boers, Herman Kuiper, Bart LM Happel, and Ida G Sprinkhuizen-Kuyper · 1993
Earlier work this paper cites.
Bias in Computer Systems
Batya Friedman and Helen Nissenbaum · 1996
Earlier work this paper cites.
Two decades of statistical language modeling: Where do we go from here?
Ronald Rosenfeld · 2000
Earlier work this paper cites.
Privacy and Power: Computer Databases and Metaphors for Information Privacy
Daniel Solove · 2001
Earlier work this paper cites.
The Future of the Internet–And How to Stop It
Jonathan Zittrain · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
The mnist database of handwritten digit images for machine learning research
Li Deng · 2012
Earlier work this paper cites.
Sentiment analysis of short informal texts
Svetlana Kiritchenko, Xiaodan Zhu, and Saif M Mohammad · 2014
Earlier work this paper cites.
Towards making systems forget with machine unlearning
Yinzhi Cao and Junfeng Yang · 2015
Earlier work this paper cites.
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathany, and Surya Ganguli · 2015
Earlier work this paper cites.
There’s No Such Thing as a Computer-Authored Work – And It’s a Good Thing, Too
James Grimmelmann · 2016
Earlier work this paper cites.
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkorei, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and llia Polosukhin · 2017
Earlier work this paper cites.
Robotica: speech rights and artificial intelligence
Ronald KL Collins and David M Skover · 2018
Earlier work this paper cites.
Moral crumple zones: Cautionary tales in human-robot interaction (pre-print)
Madeleine Clare Elish · 2019
Earlier work this paper cites.
MLSys: The New Frontier of Machine Learning Systems, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, et al · 2019
Earlier work this paper cites.
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song and Stefano Ermon · 2019
Earlier work this paper cites.
The Pile: An 800GB Dataset of Diverse Text for Language Modeling, 2020
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, and Connor Leahy · 2020
Earlier work this paper cites.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
How to generate text: using different decoding methods for language generation with Transformers, 2020
Patrick von Platen · 2020
Earlier work this paper cites.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell · 2021
Earlier work this paper cites.
On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
Earlier work this paper cites.
Machine unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot · 2021
Earlier work this paper cites.
Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research
A. Feder Cooper and Ellen Abrams · 2021
Earlier work this paper cites.
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems
A. Feder Cooper, Karen Levy, and Christopher De Sa · 2021
Earlier work this paper cites.
Measurement and Fairness
Abigail Z. Jacobs and Hanna Wallach · 2021
Earlier work this paper cites.
A Taxonomy of Training Data: Disentangling the Mismatched Rights, Remedies, and Rationales for Restricting Machine Learning
Benjamin L.W. Sobel · 2021
Earlier work this paper cites.
LAION-5B: A New Era of Large-Scale Multi-Modal Datasets
Romain Beaumont · 2022
Earlier work this paper cites.
The Technology Behind BLOOM Training
Stas Bekman · 2022
Earlier work this paper cites.
BigScience Large Open-science Open-access Multilingual Language Model
BigScience · 2022
Earlier work this paper cites.
What Does It Mean for a Language Model to Preserve Privacy?
Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah, Reza Shokri, and Florian Tramèr · 2022
Earlier work this paper cites.
Lessons learned on language model safety and misuse, 2022
Miles Brundage, Katie Mayer, Tyna Eloundou, Sandhini Agarwal, Steven Adler, Gretchen Krueger, Jan Leike, and Pamela Mishkin · 2022
Earlier work this paper cites.
Privacy Harms
Danielle Keats Citron and Daniel J. Solove · 2022
Earlier work this paper cites.
Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles
A. Feder Cooper and Karen Levy · 2022
Earlier work this paper cites.
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET
A. Feder Cooper and Gili Vidan · 2022
Earlier work this paper cites.
Non-Determinism and the Lawlessness of Machine Learning Code
A. Feder Cooper, Jonathan Frankle, and Christopher De Sa · 2022
Cited alongside, same era.
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, and Helen Nissenbaum · 2022
Cited alongside, same era.
Predictability and Surprise in Large Generative Models
Deep Ganguli, Danny Hernandez, Liane Lovitt, et al · 2022
Cited alongside, same era.
Training Compute-Optimal Large Language Models, 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
Cited alongside, same era.
Deduplicating Training Data Makes Language Models Better
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, and Nicholas Carlini · 2022
Cited alongside, same era.
Foundation Models and Fair Use, 2023
Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, and Percy Liang · 2023
Closest in time.
No. 1:23-cv-09152 (S.D. NY Oct. 17, 2023)
Huckabee v. Meta Platforms, Inc., Bloomberg L.P., Bloomberg Finance, L.P., Microsoft Corporation, and The EleutherAI Institute, 2023 · 2023
Closest in time.
URL https://ideogram.ai/
Ideogram.AI, 2023 · 2023
Closest in time.
Mens rea, 2023
Legal Information Institute · 2023
Closest in time.
Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy, 2023
Daphne Ippolito, Florian Tramèr, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher A. Choquette-Choo, and Nicholas Carlini · 2023
Closest in time.
GenLaw [liveblog], 2023
James Grimmelmann · 2023
Closest in time.
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Probabilistic Machine Learning: An introduction
Kevin P. Murphy · 2022
Cited alongside, same era.
ChatGPT: Optimizing Language Models for Dialogue, 2022
OpenAI · 2022
Cited alongside, same era.
Aligning language models to follow instructions, 2022
OpenAI · 2022
Cited alongside, same era.
Discovering language model behaviors with model-written evaluations
Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, et al · 2022
Cited alongside, same era.
Meaning without reference in large language models
Steven T Piantadosi and Felix Hill · 2022
Cited alongside, same era.
Robust Speech Recognition via Large-Scale Weak Supervision, 2022
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever · 2022
Cited alongside, same era.
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Daniel Martin Katz, Michael James Bommarito, Shang Gao, and Pablo Arredondo · 2023
Closest in time.
The Battle Over Books3 Could Change AI Forever
Kate Knibbs · 2023
Closest in time.
Madlad-400: A multilingual and document-level large audited dataset
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Christopher A Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, et al · 2023
Closest in time.
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale, 2023
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, and Wei-Ning Hsu · 2023
Closest in time.
Opinion: The Copyright Office is making a mistake on AI-generated art
Timothy B. Lee · 2023
Closest in time.
How Generative AI Turns Copyright Law on its Head, 2023
Mark A. Lemley · 2023
Closest in time.
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models, 2023
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
Closest in time.
A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity, 2023
Shayne Longpre, Gregory Yauney, Emily Reif, Katherine Lee, Adam Roberts, Barret Zoph, Denny Zhou, Jason Wei, Kevin Robinson, David Mimno, and Daphne Ippolito · 2023
Closest in time.
Inside the AI Porn Marketplace Where Everything and Everyone Is for Sale
Emanuel Maiberg · 2023
Closest in time.
URL https://www.midjourney.com/
Midjourney, 2023 · 2023
Closest in time.
URL https://www.mosaicml.com/
MosaicML, 2023 · 2023
Closest in time.
Fine-tuning aligned language models compromises safety, even when users do not intend to!, 2023
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, and Peter Henderson · 2023
Closest in time.
A Very Gentle Introduction to Large Language Models without the Hype, April 2023
Mark Riedl · 2023
Closest in time.
Teens exploited by fake nudes illustrate threat of unregulated AI
April Rubin · 2023
Closest in time.
Copyright Safety for Generative AI
Matthew Sag · 2023
Closest in time.
Generative AI meets copyright
Pamela Samuelson · 2023
Closest in time.
URL https://scale.com/
Scale AI, September 2023 · 2023
Closest in time.
ConvNets Match Vision Transformers at Scale, 2023
Samuel L. Smith, Andrew Brock, Leonard Berrada, and Soham De · 2023
Closest in time.
URL https://stability.ai/
Stability AI, 2023 · 2023
Closest in time.
No. 22-1564 (D.D.C. August 18, 2023)
Thaler v. Perlmutter, 2023 · 2023
Closest in time.
URL https://together.ai/
Together AI, 2023 · 2023
Closest in time.
Llama 2: Open Foundation and Fine-Tuned Chat Models, 2023
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, et al · 2023
Closest in time.
Large Libel Models? Liability for AI Output
Eugene Volokh · 2023
Closest in time.
On Provable Copyright Protection for Generative Models, 2023
Nikhil Vyas, Sham Kakade, and Boaz Barak · 2023
Closest in time.
URL https://wandb.ai/site
Weights & Biases, 2023 · 2023
Closest in time.
The effect of generative artificial intelligence (AI)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz and Fatma Gizem Karaoglan Yilmaz · 2023
Closest in time.
Eunice Yiu, Eliza Kosoy, and Alison Gopnik · 2023
Closest in time.
A tort for the digital age: False light invasion of privacy reconsidered
Benjamin C Zipursky and John CP Goldberg · 2023
Closest in time.