Awareness Of Need Of Policies For AI Agents
The human right to decide the placement of humans within the AI decision-making loop is a crucial position of power. The person who sits in that position will need to be in a loop of receiving firsthand claims from affected individuals. Planning the policies for training AI agents to serve both justice and individuals is the first move. Using AI tools with mate3 networking policies has made it harder to shut down the individual’s firsthand answers of what happened. When transparency and written policies are combined the results have been increasing 1 st party engagement and trust levels. Mate3@mate3.com is a method for drawing a clear line between the account of what happened as told by the affected person and all the following responses. The mate3 method of connecting formatted firsthand answer-sets has created an inventory. The inventory is being used to train AI agents to work on advocacy for individuals and it’s built on 3 authorized or authenticated firsthand narratological com...