Filling the governance vacuum related to the use of informat...

Filling the governance vacuum related to the use of information commons for AI training

A report investigating the governance challenges of using openly licensed content for AI training, with findings and recommendations for improving AI dataset governance.

openfuture.eu

RelatedHighlights

To guard against these issues while reaping the potential benefits of image generators, we provide recommendations such as regulation that forces organizations to disclose their training data, and tools that help artists prevent using their content as training data without their consent.

Timnit Gebru • Just a moment...

Faith Hahn added

Datasets aren’t simply raw materials to feed algorithms, but are political interventions. As such, much of the discussion around 'bias' in AI systems misses the mark: there is no 'neutral,' 'natural,' or 'apolitical' vantage point that training data can be built upon. There is no easy technical 'fix' by shifting demographics, deleting offensive ter... See more

L. M. Sacasas • The Uncanny Gaze of the Machine

Alex Wittenberg added

Where AI differs is its interaction with data and rights. Unlike coding assistants trained on open-source software, most commercial image generation tools are trained on copyrighted work. It’s a non-consensual, extractive practice in an already-precarious industry. It’s always hard to put the tech genie back in the box, but I think this is a case w... See more

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Jasmine Sun on AI and creator rights

The challenge for the open movement is already clear: build an alternative to corporate, closed machine learning systems. And to protect the commons from exploitation by these systems.

How Wikipedia can shape the future of AI – Open Future

madisen added

High-quality, ethical datasets, openly licensed, can increase competition, decrease inequality and promote transparency. There is a lot of funding for this and the open movement has some of the vital skillsets needed. Even better, we would be working with the grain of openness and not against it

James Boyle • Misunderestimating openness – Open Future

madisen added

Making AI Work for Creators and the Commons - Creative Commons

creativecommons.org

Luis Villa added

Seven broadly-worded principles from CC.

The Lab’s mission is also to develop a critical literacy that can help cultural institutions approach AI technologies as advanced and multilayered media. While reliant on the highly specialised theoretical work needed to untangle issues such as ‘distributed authorship’ (Ascott 2005; Zeilinger 2021) involved in artistic research, the Lab does not sh

Creative AI Lab • Creative—Critical—Constructive —Collaborative—Computational: Towards a C5 model in Creative AI

Isabelle Levent added

“There are real concerns with respect to the copyright of outputs from these models and unaddressed rights issues with respect to the imagery, the image metadata and those individuals contained within the imagery,” said Peters.

James Vincent • Getty Images bans AI-generated content over fears of legal challenges

Isabelle Levent added