AI ChatBot

The AI ChatBot will be embedded into the target AI system. It will use the hashtag #GoodGuidance which would respond with a rating to a given post. Integration into AI deployments allow users to check the validity of posts. (This would be a secondary check to community notes.)

User Stories

Rate a Post

Someone posts something to a Social Site and you know it is not in alignment with morality / virtue / ethics. You then post to their post #GoodGuidance and the AI ChatBot called GiDanc will respond with a 3 Dimensional Rating.

Rate My Post

The person posting want to see what rating they would get for their post so that they can determine if they should reconsider their post. Additionally, it could provide some context and value based on the rating. This will use #GoodGuidance-MyPost

Capture all Posts

For a fee users can login to GiDanc to see their rating and their own catalogue of rated items. This login would also allow the users to see different posts with different ratings by other posters. This would exist across platforms and you can capture as follows:

#GoodGuidance-Bookmark

Overall Product Model

Demand: The different social media sites have limited influence to moral / virtue / ethical models that can stand the test of time. As such, reliance on community notes or boards of trust can skew results. The citizens need a methodology and approach they can understand and can support regardless of affiliation.

Inputs: Moral / Virtue / Ethical Models and computational models.

Outputs: Scoring of content in the realm of morality / virtue / ethics.

Model Testing: Groups of people that have passed a predefined test will be able to score the content within a level of confidence.

Compliance: Development of a Compliance Methodology that would ensure that the AI is properly analyzing the problem. (Utilize a TBD for example)

Market Value: Customer pays to have a service, the service funds the maintenance of the models.