How the AI lawmaking process would work

In this episode of Crazy Wisdom, host Stewart Alsop speaks with Eli Lopian, author of AICracy and founder of aicracy.ai, about how artificial intelligence could transform the way societies govern themselves. They explore the limitations of modern democracy, the idea of AI-guided lawmaking based on fairness and abundance, and how technology might bring us closer to a more participatory, transparent form of governance. The conversation touches on prediction markets, social media’s influence on truth, the future of work in an abundance economy, and why human creativity, imperfection, and connection will remain central in an AI-driven world.

Check out this GPT we trained on the conversation

Timestamps

00:00 Eli Lopian introduces his book AICracy and shares why democracy needs a new paradigm for governance in the age of AI.
05:00 They explore AI-driven decision-making, fairness in lawmaking, and the abundance measure as a new way to evaluate social well-being.
10:00 Discussion turns to accountability, trust, and Eli’s idea of three AIs—government, opposition, and NGO—balancing each other to prevent corruption.
15:00 Stewart connects these ideas to non-linearity and organic governance, while Eli describes systems evolving like cities rather than rigid institutions.
20:00 They discuss decade goals, city-state models, and the role of social media in shaping public perception and truth.
25:00 The focus shifts to truth detection, prediction markets, and feedback systems ensuring “did it actually happen?” accountability.
30:00 They talk about abundance economies, AI mentorship, and redefining human purpose beyond traditional work.
35:00 Eli emphasizes creativity, connection, and human error as valuable, contrasting social media’s dopamine loops with genuine human experience.
40:00 The episode closes with reflections on social currency, self-healing governance, and optimism about AI as a mirror of humanity.

Key Insights

1. Democracy is evolving beyond its limits. Eli Lopian argues that traditional democracy—one person, one vote—no longer fits an age where individuals have vastly different technological capacities. With AI empowering some to act with exponential influence, he suggests governance should evolve toward systems that are more adaptive, participatory, and continuous rather than episodic.
2. AI-guided lawmaking could ensure fairness. Lopian’s concept of AICracy imagines an AI system that drafts laws based on measurable outcomes like equity and happiness. Using what he calls the abundance measure, this system would assess how proposed laws affect societal well-being—balancing freedoms, security, and fairness across all citizens.
3. Trust and accountability must be engineered. To prevent corruption or bias in AI governance, Lopian envisions three independent AIs—a coalition, an opposition, and an NGO—cross-verifying results and exposing inconsistencies. This triad ensures transparency and keeps human oversight meaningful.
4. Governance should be organic, not mechanical. Drawing inspiration from cities, Lopian and Alsop compare governance to an ecosystem that adapts and self-corrects. Like urban growth, effective systems arise from real-world feedback, where successful ideas take root and failing ones fade away naturally.
5. Truth requires new forms of verification. The pair discuss how lies spread faster than truth online and propose an algorithmic “speed of a lie” metric to flag misinformation. They connect this to prediction markets and feedback loops as potential ways to keep governance accountable to real-world outcomes.
6. The abundance economy redefines purpose. As AI reduces the need for traditional jobs, Lopian imagines a society centered on creativity, mentorship, and personal fulfillment. Governments could guarantee access to mentors—human or AI—to help people discover their passions and contribute meaningfully without economic pressure.
7. Human connection is the new currency. In contrast to social media’s exploitation of human weakness, the future Lopian envisions values imperfection, authenticity, and shared experience. As AI automates production, what remains deeply human—emotion, error, and presence—becomes the most precious and sustaining form of wealth.