Cyber-Dani
commented
1 year ago My point of view is that we could try a nested approach, where high level information will be displayed first and then the consumer will be able to drill down through the levels (e.g. sub tags, descriptions, links etc).
From a creator perspective, we could create some sort of wizard, where they will be able to select at least the high level tag, and optionally sub tags (for the Machine Assisted tag).
By incorporating some sort of user customization options for creators, we would allow individuals to tailor the level of detail they wish to engage with. This flexibility would empower users to strike their desired balance between comprehensiveness and simplicity, ensuring the tagging system remains adaptable to different needs and preferences, while still ensuring the minimum requirement of displaying at least high level tags.
Note With high-level tags I mean 'Human-Generated", "Machine-Generated" and "Machine-Assisted".
Comprehensiveness entails capturing the entire spectrum of AI's involvement in content creation, from minor assistance to full autonomy.
By representing each interaction type within the ArtiFact schema, we aim to provide a holistic view of AI's role, enabling creators and consumers to gain a transparent understanding of how AI contributes to the creative process.
However, how comprehensive the schema should exactly be?
One challenge lies in striking the right balance between providing sufficient information and avoiding overwhelming users with an abundance of tags or complex terminology.
We must carefully consider the user's cognitive load and ensure that the tagging process remains intuitive, streamlined, and accessible to creators and consumers alike (we don't want to replicate the User Experience of reading Terms and Conditions to sign up the the 100s online application).
I believe that finding the right balance requires collaborative efforts, user feedback, and iterative design processes, so let's discuss this point collectively.