AI

Stands for artficial intelligence.

Some preliminary thoughts. To be further developed...

Looking into AI. There is AI-driven governance with dynamic (data-driven and real time) incentive mechanisms. There is also AI-driven prediction, which frees more space for humans to do judgment and make the final decision (pattern: prediction-error minimization - an AI-driven feedback loop). Dealing with uncertainty. It becomes a prediction model problem. Note that trust is related to ability to predict, we invest trust in what we don’t fully understand and cannot fully predict, otherwise we just know the outcome and can make a decision to act or not to act. "prediction error minimization" - regulation is applied in order to assure that experience will match expectations when there has been a negotiated transfer of agency - “you said I would get this and I didn't". So maybe "prediction error minimization" towards adaptive (network / human / commons preserving and enriching ecosystem) self-organization, supported in parallelizing high-reliability components requirements. This offers an example of how "prediction error" is minimized - I'm more certain to get the design delivered - just incorporated another strategy - especially one drawing on a unique network strength (friction and transaction/search/contracting cost reductions) being re-invested in risk reduction through parallel (possibly redundant) work. The Collaborative, Opt-in P2P archipelago of AI models being fed with and acted on by real-time edge and OVN interactions intelligence - is a step beyond any advantage in innovation or production than what could be achieved by any centralized surveillance capitalism AI hoovering up all the (disconnected, non-real-time, context-ignorant, under-valued) data. The monolithic large models based on Surv. Capitalism today may make an amazing start, but the global, universal - view from nowhere, view from everyone, view for no one - may be an albatross around its neck. Will have difficulty tracking forward - evolving and proving relevant when and where complex decisions are needed - and staying apprised of who can most constructively and reliably act on that model or analysis or prediction... Folding AI into OVN in thoughtful and wise ways that advance the capabilities and adoption of OVN and 4th sector practices is also an avenue / process - by which to explore the kinds of dimensions and principles in IoP contracting.

This comes from IoPA Contracting assignment