Amicus Brief of Intellectual Property on Behalf of Law Professors
Harvard Law Professor Rebecca Tushnet explains why intermediate copying for AI training is Fair Use in an amicus brief on behalf of IP Law Professors.
Providing a trusted framework for responsible public web data collection
The mission of the Alliance for Responsible Data Collection is to preserve access to public internet data by providing a trusted framework for responsible data collection.
Providing data collectors guidance on best practices for public internet data collection. Offering data users reliable means to assess the responsible sourcing of data. Educating members on emerging legal, regulatory, and industry trends.
Amplifying the collective voice of diverse stakeholders representing a wide range of public data usage models. Educating policy makers, regulators and government agencies on industry best practices for data collection governance and compliance.
– Data for Policy 2025, Europe, Ethical Data Collection, June 12-13, 2025.
– IEEE ETHICS 2025, Ethical Collection Practices in the Age of AI, June 8, 2025
– AI & Big Data Expo, Privacy & Innovation: Navigating Regulatory Landscapes, June 5, 2025
Alliance members represent a cross-section of industry leaders, scholars, and thought leaders, from businesses, academia, and non-profit organizations that collect public web data to businesses that provide tools and technology to enable
data collection to organizations that acquire and use public web data collected by others.
Harvard Law Professor Rebecca Tushnet explains why intermediate copying for AI training is Fair Use in an amicus brief on behalf of IP Law Professors.
The Electronic Frontier Foundation explains why the method used to collect AI training materials from the internet has no bearing on the enforceability of any
Publicly available web data allows us to shine a light on the darkest corners of the internet and in so doing, deter those who would
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