The AIUC Knowledge Hub

Investing in People Through Mentor it Forward AIUC Global was created to bring clarity to how AI is used in the world. The AI Usage Classification™ gives creators, organisations, and communities a practical way to communicate how AI contributed to their work. The framework brings transparency, which builds trust, and trust strengthens the relationship between people and technology. This commitment to ethical and responsible practice naturally extends to social responsibility.

When we talk about copyright and AI, generally it is about the ethics of the content being fed into the learning models and then replicated without regard for the rights of the author, without any royalty payment or recognition going back to them. But there is another side to consider - the ownership of the content that was generated in collaboration with AI tools. Now lets introduce a little bit of context on two seemingly unrelated topics and then we'll jump to the rather t

As part of our mission to support responsible usage and governance of AI both in Australia and globally, we recently compiled a response to the Productivity Commission (PC) “Harnessing data and digital technology” inquiry interim report. Our response to the interim report reflects the many conversations we’ve been having with clients, which have shaped the feedback provided. Overall, we agree with the concept that the government should take an outcomes-based approach to many

The AI Usage Classification™ (AIUC) standard makes it easy to declare how AI has been used in creating content, from AI-Free™ to AI-Generated™. With simple language, visual badges, and hashtags, AIUC helps organisations and individuals be transparent, build trust, and show responsibility in how they apply AI.

Fostering trust through transparency combined with clearly articulated, context-sensitive guidance can help students thrive.