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Although designers do have a lot of power, AI is just a tool conceived to benefit us. Communities must make sure that happens, says author Afua Bruce

Rumman Chowdhury, Timnit Gebru, Safiya Noble, Seeta Peña Gangadharan, and Joy Buolamwini open up about their artificial intelligence fears

This startup wants to help millions of people whose languages are marginalized online gain better access to AI tools

Documentation to facilitate communication between dataset creators and consumers.

There has been increased attention toward the datasets that are used to train and build AI technologies from the computer science and social science research co

Supporting transnational worker organizing should be at the center of the fight for “ethical AI.”

While AI can speed up the writing process, it doesn’t optimize quality — and it endangers our sense of connection to ourselves and others.

Amid a pair of Hollywood strikes that have found screenwriters and actors questioning the rise of artificial intelligence, studios and streaming companies are bulking up on AI staff.

When we have the power to ask for anything, what will we choose?

The countdown has begun for The PublicSpaces Conference: For a Collective Internet, set to take place on June 27 and 28. Emma Yedema, editor and producer at PublicSpaces, sat down with Abdo Hassan for an interview.

Part 1 # Models, Views, Controllers # Model View Controller is a server architecture model invented at Xerox Parc in the late 70s. Initially, a system to implement graphic user interfaces for the desktop machine; it is now the core of practically...

To further the understanding of training data, the Knowing Machines Project developed SeeSet, an investigative tool for examining the training datasets for AI. Here you will find nine essays from individual members of our team. Each one uses SeeSet to explore a key AI dataset and its role in the construction of 'ground truth.'

This anthology was curated from stories of living with data and AI in/from the majority world, narrated at a storytelling workshop in October 2021 organized by Data & Society Research Institute.

We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI). EKILA proposes a robust visual attribution technique and combines this with an emerging content provenance standard (C2PA) to address the problem of synthetic image provenance – determining the generative model and training data responsible for an AI-generated image. Furthermore, EKILA extends the non-fungible token (NFT) ecosystem to introduce a tokenized representation for rights, enabling a triangular relationship between the asset’s Ownership, Rights, and Attribution (ORA). Leveraging the ORA relationship enables creators to express agency over training consent and, through our attribution model, to receive apportioned credit, including royalty payments for the use of their assets in GenAI.

Symbolic language can help us grasp the nature and power of what is coming

Nora N. Khan assembles a cast of luminaries to consider the far-reaching implications of AI and computational culture. –$40

Co-authored with Grace Carney A few months ago Fred kicked off a conversation about what the “native” applications of AI technology will be. What are the

Conversation around generative AI tends to focus on whether its development is open or closed. It's more responsible to envision releases along a gradient.