Web users can gather data from secure endpoints and demonstrate the provenance of
sensitive data to any third party by using privacy-preserving TLS oracles. In practice, privacy …

Generative AI (GenAI) is transforming creative workflows through the capability to synthesize
and manipulate images via high-level prompts. Yet creatives are not well supported to …

Provenance facts, such as who made an image and how, can provide valuable context for
users to make trust decisions about visual content. Against a backdrop of inexorable …

Generative art is a rules-driven approach to creating artistic outputs in various mediums. For
example, a fluid simulation can govern the flow of colored pixels across a digital display or a …

Abstract As Generative Artificial Intelligence (GenAI) technologies evolve at an
unprecedented rate, global governance approaches struggle to keep pace with the …

Generative art is a domain in which artistic output is created via a procedure or heuristic that
may result in digital and/or physical results. A generative artist will typically act as a domain …

We present DECORAIT; a decentralized registry through which content creators may assert
their right to opt in or out of AI training and receive rewards for their contributions. Generative …

This whitepaper offers normative and practical guidance for developers of artificial
intelligence (AI) systems to achieve" Trustworthy AI". In it, we present overall ethical …

We present PDFed, a decentralized, aggregator-free, and asynchronous federated learning
protocol for training image diffusion models using a public blockchain. In general, diffusion …

In this work-in-progress, we present ORAgen, as 'unfinished software', materialised through
a demonstrative web application that enables participants to engage with a novel approach …