OpenDataology - A Call to Arms for Fixing the Dataset Licensing Landscape - Gopi Krishnan Rajbahadur
Channel: The Linux Foundation
Date: 14/12/2022

OpenDataology - A Call to Arms for Fixing the Dataset Licensing Landscape - Gopi Krishnan Rajbahadur, Huawei Technologies Canada

Publicly available datasets fuel the success of commercial AI software. Dataset licenses govern the use of these datasets. However, ensuring dataset license compliance when using publicly available datasets is a complex endeavor. First, unlike OSS licenses, dataset licenses do not clearly outline the rights and obligations associated with them. Second, datasets can be created from multiple data sources each of which may have different licenses which further compounds the issue. In this talk, we introduce our project OpenDataology, an open source initiative that proposes a novel approach to assess the potential license compliance violations associated with a dataset. OpenDataology (an LF AI and Data Sandbox project) can act as a crowd-sourced medium that enables identifying and documenting the license compliance risks associated with using publicly available datasets for AI software. Different the previous version of this talk, we will focus on how different contributors can get involved, the tools available and how OpenDataology is enhancing SPDX to enable better dataset license compliance analysis. We further discuss the risks associated with using more than 100 publicly available AI datasets (compared to the six datasets that we explored last time).