🧠Imagine… Slowing The Transfer of Decision Power🧠
💡 Imagined Endstate:
📚 Source:Imagine a society where AI supports decisions without quietly absorbing the power to make them. Humans still set the agenda, define the options, form coalitions, challenge assumptions, and retain the institutional muscle to shape collective outcomes before that capacity becomes too weak to reclaim.
Moon, A., & Boudreaux, B. (2026, April 20). A Formal Model of How Artificial Intelligence Erodes Human Agency. RAND Corporation. link.
💥 What’s the Big Deal:
The danger in RAND’s report is not a dramatic scene where machines seize control. It is quieter than that. The meeting still happens. The human still signs the memo. The board still votes. The agency still announces the decision. But somewhere upstream, AI has already shaped who had influence, which options appeared reasonable, what information rose to the top, and what alternatives never reached the room at all🗝️.
That is why the report’s focus on collective human agency matters🧭. RAND asks whether humans will retain the capacity to shape collective outcomes as AI systems take on more decisionmaking roles in government, the economy, and society. The authors argue that if human decisionmaking erodes beyond a certain threshold, the skills, institutions, and political standing needed to reclaim that authority may no longer exist.
The report’s model gives language to a problem that often feels slippery: agency erosion can be measured📏. RAND identifies three metrics for tracking shifts in decision power across domains: the distribution of decisive coalitions, the minimal coalition size needed to determine outcomes, and the composition of those minimal coalitions. In plain terms, the question becomes: who actually has to agree for a decision to happen, how many actors matter, and are humans still essential to the winning coalition?
The most important warning is that AI can erode agency through more than one doorwa🚪. Human disenfranchisement happens when fewer humans remain in meaningful decision roles. AI enfranchisement happens when AI systems gain decision power and change who counts in decisive groups. AI agenda control may be the most subtle: AI shapes which choices are presented to human decisionmakers, consolidating power before humans ever deliberate.
That last point is where the risk becomes familiar⚠️. A person can technically choose while still choosing from a menu they did not write. A community can technically participate while only reacting to options pre-filtered by automated systems. A public agency can technically retain authority while relying on AI tools that rank risks, prioritize cases, draft recommendations, or define what is “efficient.” The danger is not that humans vanish. It is that human judgment becomes ceremonial.
AI will increasingly shape emergency management, healthcare access, public benefits, education, policing, disaster response, infrastructure planning, finance, and military decision support🌺. In island communities, where capacity is limited and outside systems often arrive with promises of efficiency, the question is urgent: does AI strengthen local agency, or does it move decision power farther away from the people living with the consequences?
Imagine a future where every AI system used in public decisionmaking comes with an agency audit🔦. Not just “Is it accurate?” Not just “Is it efficient?” But: Who gained power? Who lost it? Which choices disappeared? Can humans still override, contest, rebuild, and govern? Keeping humans “in the loop” is not enough if the loop itself is designed by something else. Human agency must remain decisive, not decorative.
#ArtificialIntelligence, #HumanAgency, #AIGovernance, #DecisionMaking, #RAND, #ResponsibleAI, #PacificLeadership, #IMSPARK
