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1
Introduction
2
About Gopi
3
Disclaimer
4
Project Logo
5
Shoutouts
6
How to Get Data
7
Licenses
8
Rights
9
Challenges
10
Project Aims
11
Project Process
12
Extract License
13
Extract Metadata
14
Data License Format
15
Tagging Distribution
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The Only Difference
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The Problem
18
Custom Licenses
19
Standard Licenses
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Montreal Data License Research Paper
21
Risks
22
Other Scary Aspects
23
OpenDataology
24
Four Key Thrusts
25
Tools
26
Generating a License
27
Community
28
Standards Community
29
Conclusion
30
Dataset Licensing
Description:
Explore the complexities of dataset licensing in AI software development through this conference talk. Delve into the OpenDataology project, an open-source initiative addressing license compliance challenges for publicly available datasets. Learn about the risks associated with using multiple data sources, each with potentially different licenses. Discover how OpenDataology proposes a novel approach to assess potential license compliance violations and acts as a crowd-sourced medium for identifying and documenting risks. Gain insights into the project's key thrusts, available tools, and its efforts to enhance SPDX for better dataset license compliance analysis. Understand the importance of proper dataset licensing and the steps being taken to improve the current landscape in AI development.

OpenDataology: Fixing Dataset Licensing for AI - A Call to Arms

Linux Foundation
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