How DAOs and Network States Can Eliminate AI Bias

The article argues that centralized AI development by companies like OpenAI and xAI, trained on narrow datasets, perpetuates AI bias and lacks public accountability. It proposes ‘network states’—blockchain-based, borderless digital communities—as an alternative governance model. Within these network states, Impact DAOs would oversee transparent, on-chain AI training, inclusive data collection and continuous public oversight. This shift from centralized gatekeeping to decentralized stewardship aims to mitigate bias, align AI with diverse community needs and treat AI as a public good. By distributing governance across digital citizens, network states and DAOs can fund open-source AI tools, create auditable frameworks and ensure long-term sustainability. The article warns that AI centralization—over 60% of major development in one U.S. state—exacerbates ecological and social harms. Embracing decentralized governance and blockchain-based coordination could foster fairer, more regenerative AI systems that prioritize public welfare over profit.