Cultural and regulatory conversation worldwide today show that there is a lot of fear around AI. AI is going to take over the world, it’s coming for everyone’s job, it’s going to destroy Hollywood: choose your own dystopian adventure. I don’t want any of those things to happen, either, but I’m an AI optimist at heart.
The governance board assigns a list of KPIs to the AI agent, asking it to complete a set of management tasks for the community. Let’s say those start out as: manage donations to the treasury, keep track of new members, and disburse payments for work done on behalf of the DAO according to a clear set of deliverables. This will save a lot of time and overhead, which tend to consume a lot of resources for a not-for-profit organization or for a DAO.
The board makes adjustments and prioritizes across the proposed roadmap from the AI to cover the first six months of work on Curing Cancer DAO. They empower the AI agent to recruit people to do those tasks, assign people work , and assess how well the work was done, paying them from the treasury. The DAO board can veto any proposal from the agent or rework it so things can get more efficient as they make progress. Over time, if the governance board observes that the AI agent is not doing well at something, they can commission new training data in that specific area in order to improve the model and fine-tune it to fit their needs. This can even be crowdsourcedonchain from among an expert community, who can review the work and assess the AI agent’s improvement.
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