AI, Humanity and Civilization

An inquiry into judgment, desire, power and responsibility as AI reshapes shared life, and the human growth needed to govern it.

Series manifesto

Growing capability calls for growing judgment and responsibility. These essays connect technical evidence, human choices and institutions, moving through delegation, distribution and learning into public life, then using fiction to examine hidden costs.

Reading path

Choice and Responsibility

Beginning with civilizational risk, follow delegation, distribution, learning, public responsibility, democracy and knowledge into ethical thought experiments.

Will AI Bring the End of the World? The Answer May Surprise YouAI catastrophe may begin with inequality, disrupted livelihoods and unchecked delegation. M.K. examines the nuclear analogy and why self-reflection, restraint and accountable institutions must grow alongside our tools.

Oct 14, 2026 02

Are We Delegating Work to AI, or Giving Away Authority?Delegating a task need not mean surrendering a decision. M.K. examines permissions, meaningful review and the ability to revoke authority in personal and organizational AI use.

Oct 14, 2026 03

Why Could a Richer AI Economy Leave People Less Secure?Productivity gains do not automatically reach household security. M.K. follows AI's benefits through wages, prices, ownership and transition costs to examine who receives prosperity.

Oct 14, 2026 04

When AI Does the Thinking, What Should We Still Practise?Instant answers change the purpose of practice. M.K. explores how attempts, explanations and transfer can preserve meaningful learning without turning life into a race against AI.

Oct 14, 2026 05

Autonomous Machines in Public Life: Who Gains, Who Pays?A machine's purchase price does not capture its public costs. M.K. examines shared space, maintenance, withdrawal and the chain of responsibility behind autonomous services.

Oct 14, 2026 06

If AI Governs More Efficiently, Should People Give Up the Decision?Better analysis is not automatic permission to govern. M.K. follows public decisions from agenda and metrics to alternatives and revocation, asking how efficiency can coexist with self-government.

Oct 14, 2026 07

When Young People Know AI Better, Who Gets to Teach Whom?AI fluency can unsettle familiar authority. M.K. separates tool skill, domain understanding, evidence and accountable judgment to explore how generations can learn from one another.

Oct 14, 2026 08

How Can Science Fiction Reveal AI Ethics' Hidden Costs?An imagined world can expose a choice's consequences without proving a prediction. M.K. examines assumptions, counterexamples and competing viewpoints as tools for disciplined ethical thought experiments.

Oct 14, 2026