The difference between models that scale and models that stall increasingly comes down to how leaders source, govern, and document the data that trains them. The conversation must shift from abstract principles to concrete controls executives can deploy now.
ARDC has joined Carnegie Mellon University’s Open Forum for AI (OFAI).
As a partner, ARDC will take part in OFAI’s Data Working Group
ARDC’s Technical Standards and Governance Guidelines for Responsible Data Collection featured in AMAS Report on AI and Multimedia Authenticity Standards
Explore the clash between AI data scraping and web openness, as legal, ethical and technological debates reshape digital content access and control.
ARDC’s Technical Standards and Governance Guidelines for Responsible Data Collection featured in AMAS Report on AI and Multimedia Authenticity Standards
IEEE summarized ARDC’s panel on ethical AI data collection with experts from Jo Levy, Bright Data, Adobe, and Common Crawl
Harvard Law Professor Rebecca Tushnet explains why intermediate copying for AI training is Fair Use in an amicus brief on behalf of IP Law
Publicly available web data allows us to shine a light on the darkest corners of the internet and in so doing, deter those who
In the age of data-driven decision-making, the quality of your outcomes depends on the quality of the underlying data. Companies of all sizes seek
To join and learn more about ARDC membership, please submit the following form. Once submitted, a representative of ARDC will contact you to provide more information about ARDC membership
