Generative AI + Law (GenLaw) ’23
We are very excited to announce the inaugural Workshop on Generative AI and Law (GenLaw ’23)! Please join us in Honolulu, Hawai’i at ICML ’23, where we’ll be bringing together experts in privacy, ML, policy, and law to discuss the intellectual property (IP) and privacy challenges that generative AI raises.
Rolling abstract submission deadline:
Rolling decisions, with final decisions by:
Progress in generative AI depends not only on better model architectures, but on terabytes of scraped Flickr images, Wikipedia pages, Stack Overflow answers, and websites. But generative models ingest vast quantities of intellectual property (IP), which they can memorize and regurgitate verbatim. Several recently-filed lawsuits relate such memorization to copyright infringement. These lawsuits will lead to policies and legal rulings that define our ability, as ML researchers and practitioners, to acquire training data, and our responsibilities towards data owners and curators.
AI researchers will increasingly operate in a legal environment that is keenly interested in their work — an environment that may require future research into model architectures that conform to legal requirements. Understanding the law and contributing to its development will enable us to create safer, better, and practically useful models.
We’re excited to share a series of tutorials from renowned experts in both ML and law and panel discussions, where researchers in both disciplines can engage in semi-moderated conversation.
Our workshop will begin to build a comprehensive and precise synthesis of the legal issues at play. Beyond IP, the workshop will also address privacy and liability for dangerous, discriminatory, or misleading and manipulative outputs. It will take place on 29 July 2023, in Ballroom B.
Call for Papers
The 1st Workshop on Generative AI and Law (GenLaw) is soliciting 1-2 page extended abstracts related to any topic pertaining to recent developments in generative AI/ML and their legal implications, with a particular focus on implications for intellectual property (IP) and privacy law. Submissions should employ methods from AI/ML, law, or both.
Possible extended abstract formats include, but are not limited to, preliminary technical results, early-stage law review submissions, and position papers,which should provide novel perspectives and findings at the intersection of generative AI and law. Potential topics include:
Communicating discoveries or questions within your primary discipline that other disciplines may want to be aware of
- Example: How can we create quantitative tools to adequately measure “substantial similarity” (a concept in copyright law) in diffusion model outputs?
Highlighting industry-related challenges re: development and productization of generative models
- Example: Methods for identifying and excising copyright violations at run-time
Giving legal precision to specific problems presented by generative AI
- Example: An analysis of the technical and legal considerations in upcoming lawsuits concerning Stable Diffusion or CoPilot
Analyzing data collection and curation anti-patterns (and how to improve on them)
- Example: Documenting current data collection practices, methods for evaluating collected data, datasheets for datasets
Evaluating models for, or developing ways to minimize, data leakages
- Example: Quantitative procedures for efficiently and comprehensively identifying the use or removal of PII (personal identifiable information) data
Developing tooling for understanding the relationship between training data and generative model outputs.
- Example: HCI and UI concerns around conveying issues around LLM memorization and attribution
Accepted papers will present posters in-person or on Zoom. We will also accept other presentation formats, since scholarship from some disciplines may not be well-suited to posters. For alternative options, we will provide sample templates. Additionally, some submissions will be accepted for a 3-minute spotlight. This workshop is non-archival to allow for future submission to other venues (any/all archival and non-archival workshops, journals, conferences, etc.). We will host all accepted papers on the website, unless requested not to do so by the authors.
Please submit to CMT. We will review submissions in a rolling fashion, in order to enable as much time as possible for the visa application process for authors who would need a visa to attend GenLaw ’23 in person. The submission window will begin 4 May 2023, AoE and end on 29 May 2023, AoE, and the form will contain a checkbox to indicate if there is at least one author that plans to attend GenLaw ’23 and would need a visa to do so. If this category is applicable, please submit as early as possible to facilitate speedy review. We will prioritize reviewing submissions in this category, and will provide rolling acceptance/rejection decisions (up until 19 June 2023).
Please anonymize your submission and respect a 2-page maximum using the ICML Template. We allow up to 2 additional pages for references. We will be using a double-blind review process.
Please see our reviewer guidelines for more information.
Speakers, Panelists & Moderators
Reach the organizers at: email@example.com
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