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Is 'Human-Centric' AI Possible in the Age of Algorithmic Power?

2026-02-24 Views 11

Is 'Human-Centric' AI Possible in the Age of Algorithmic Power?

ㅣKarl Yang,
Founder & Executive Director of KoSIF ㅣ



Artificial Intelligence (AI) has become the defining topic of our time. Concerns that humanity might eventually be dominated by AI are now frequently heard.

Indeed, humanity is standing before a massive transition in civilized history. If the steam engine inaugurated industrial society by replacing muscle, and the internet built information society by establishing a social neural network, AI is now mechanizing the uniquely human domain of "decision-making."

However, the essence of the AI era is not about how smart machines have become. What truly matters is the foundational principle of civilizational governance: What value system does this intelligence pursue, and is it operating in a way that protects human dignity and social trust?

To put it another way: "If traditional capitalism was driven by an 'invisible hand,' upon what value system is the new AI capitalism being designed?"


      The Reality of "Digital Feudalism"

Today’s discourse on AI seems trapped within the narrow frameworks of technological hegemony and industrial productivity. However, viewed through the lens of ESG (Environmental, Social, and Governance) capitalism, AI is not merely a technological advancement—it is an economic reality that dictates power structures and the distribution of wealth.

While AI amplifies productivity exponentially, it simultaneously accelerates the concentration of capital and data at a pace unprecedented in history, casting the shadow of "digital feudalism." In an era where AI has become an essential infrastructure for running society—much like electricity or water—the corporations that monopolize this infrastructure effectively hold the status of digital feudal lords. Despite being private entities, they wield a powerful "executive authority" capable of swaying the foundational trust capital of democracy and the very value of labor.

As algorithms replace the norm-setting capabilities once held by nations, we are facing a governance vacuum where we cannot control private corporate interests when they clash with public values.

The core issue here is that the velocity of technology has outpaced the speed of social consensus and governance. Unless the "inclusive value creation" championed by ESG capitalism is established as a prerequisite, AI will not be a productivity revolution; rather, it will become a potent risk factor that deepens social instability.


      Existential Challenges: Labor and Democracy

At the heart of this disruption lies the issue of redefining labor. AI is encroaching not only upon low-skilled labor but also into high-skilled intellectual domains such as law, medicine, and research. This is not simply a matter of job displacement; it is an existential challenge to the very role humans play in society.

Democracy is equally in jeopardy. As generative AI reduces the cost of information production to nearly zero, deepfakes and precision-engineered manipulation of public opinion are becoming routine. This is fundamentally eroding "social capital"—the trust that serves as the bedrock of democracy.

From a governance perspective, AI demands clear accountability. Who bears responsibility for decisions hidden behind algorithms?

From an ESG viewpoint, AI developers are not mere solution providers; they are architects of social systems. Therefore, they must bear strict social responsibilities equivalent to the fiduciary duty of financial institutions, meaning they must actively prove the transparency and mitigate the biases of their algorithms.


      The Environmental Burden and the Core Questions

Environmental costs must also be treated as core management metrics. AI is simultaneously a savior that optimizes energy efficiency and a "resource black hole" that devours staggering amounts of electricity and water. Moving forward, AI’s carbon footprint and resource efficiency should not be viewed as optional ethical choices. They must be treated as material investment criteria and regulatory targets that dictate a corporation's non-financial value.

Ultimately, the core questions of the AI era converge into four points:


  • - Who owns it?
  • - Who controls it?
  • - Who profits from it?
  • - Who bears the risk?


If the answers to these questions culminate in the monopoly of market power, AI will serve as an amplifier of inequality. Conversely, if the core tenets of ESG capitalism—Accountability, Inclusivity, and Sustainability—are embedded into the DNA of AI systems, AI can become a civilizational tool that expands universal human welfare.



AI does not decide its own future. Our tomorrow will be determined by the value system upon which we anchor AI. The most realistic and powerful framework to set that standard is a new capitalism rooted firmly in ESG principles.