Fairly Trained exists to make it clear which companies take a more consent-based approach to training, and are therefore treating creators more fairly.

Glaze is a system designed to protect human artists by disrupting style mimicry. At a high level, Glaze works by understanding the AI models that are training on human art, and using machine learning algorithms, computing a set of minimal changes to artworks, such that it appears unchanged to human eyes, but appears to AI models like a dramatically different art style. For example, human eyes might find a glazed charcoal portrait with a realism style to be unchanged, but an AI model might see the glazed version as a modern abstract style, a la Jackson Pollock. So when someone then prompts the model to generate art mimicking the charcoal artist, they will get something quite different from what they expected.

The CREDO 23 stamp on a project assures the audience of certain standards.

Know Thyself as a Virtual Reality is an interdisciplinary project that focuses on the ethics and aesthetics of the use of medical data and virtual reality. In order to explore this field, we have assembled a skilled and diverse team from across the University of Alberta as well as from other Canadian and international universities, bringing together expertise in medical imaging, health law, software development, biomedical engineering, virtual narratives, sound, the history of medicine, and artistic creation. This collaborative team will explore, create, disseminate and share ideas about cutting edge technologies that produce bodies in virtual and augmented reality.

Ethically Aligned AI loves to share stories and information about AI ethics. Creating video, podcast, articles and academic work is part of their bigger mission to educate everyone about these issues.