Kyoung-cheol Kim

Kyoung-cheol (Casey) Kim is a PhD student in the Department of Public Administration and Policy at the University of Georgia. His research interests include bureaucracy, motivation, and institutional analysis. Especially, he concentrates on investigating how interventions of Artificial Intelligence system in governance can transform functioning of humans, organizations, and the society.

Comments

Reflection of Hierarchical Relationship via Nuanced Conditioning of Game Theory Approach for AI Development and Utilization

Thank you very much for your valuable comments, Dr. Bullock (It is another pleasure to see here)!

Yes, I am new to this forum and learning a lot from various viewpoints as you indicated using similar language or slightly different language. In doing so, I think my ideas provided here are highly aligned with unipolar/multipolar (pertaining to the configuration of the very top position level in bureaucracy) and non-agent/multi-agent (ultimately, regarding whether having needs or remaining of organization with the intervention of surpassingly developed AI) systems.

Since we humans have limited capabilities to fully understand the universe yet, taking various approach viewpoints and finding out similarities and discrepancies can be a crucial work for the sake of the philosophy of science and becoming less wrong. To that extent, I see many similarities of core thoughts here with others, and believe better understanding to different areas together could increase the positive aspect.

To some of your specific points, "Thus my central theme is that complexity frequently takes the form of hierarchy and that hierarchic systems have some common properties independent of their specific content. Hierarchy, I shall argue, is one of the central structural schemes that the architect of complexity uses." Yes, I completely agree with this and, at the same time, I think the complexity resulting in hierarchic systems for integrated intelligence (if the condition of formulation of organization maintains) also leaves discretion within it. Therefore, I approach that development of AI and utilization of it reflected on configurations of societal works will highly likely be lied upon somewhere between centralization and game theory situation. Although it is limited to specify exact situations, I think this projection basically includes the situation of unipolar/multipolar and non-agent/multi-agent systems.

Particularly, I think dealing with organizational frameworks can shed light on how humans will specifically work with AI agents in multi-agent system. Pertaining to your statement, "authority as a consequence of hierarchy" and that "processing information to handle complexity requires speciality which implies hierarchy." Authority for humans is also about a matter of how to accept it as a cognitive phenomenon while it would not be a matter for machines in that manner.

I believe organization theories need to be more actively reflected on various disccusions here (also again becoming crucial for governance experts) and I am very looking forward to more engaging with them!