Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Legal Playbook for Natural Language Processing Researchers (BigScience)



Legal Playbook for Natural Language Processing Researchers (BigScience)

The playbook aims to be a general informational resource to public organizations, including cross national organizations focused on non-commercial open science in NLP and promotion of the human rights to equal access to scientific advancement under UDHR Art. 27. With this playbook, we strive to assist researchers who have less resources to help them guide their communities and their research, including low income communities who may not have access to legal resources. In particular, this playbook is cross jurisdictional, and hopefully will be relevant to NLP and data researchers in underserved language communities whose data will be processed (e.g., minority dual-language speakers) and those who wish to participate and have a stake in AI.

This playbook was drafted as part of the year-long BigScience workshop and is not legal advice. This playbook is made available under the CC-BY license. This playbook is not legal advice and is only intended as research of the legal landscape at or around the “Last Updated” date. 

This playbook is organized by jurisdictions. In each jurisdiction, we provide an overview of the legal system, and then provide legal research for common questions that NLP researchers may have relating to intellectual property, licensing, privacy, text data mining and prohibited or restricted content and technologies. The target jurisdictions are: France, Belgium, Switzerland. Brazil, Colombia, Canada, China, South Korea, Japan, South Africa.

 

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.