Opinion: Jarrad Hope, co-founder of the logo
As AI expands rapidly, humans are left at an ideological impasse to manage this new technology. Either make governments and businesses use to control how AI is trained and create policies that control our lives, or choose to seek new governance models built on a foundation based on transparency, regeneration and public goods.
Network state, digital communities present a much improved approach to leverage blockchain to form a borderless society and harmonize AI with human well-being. As technology continues to advance the scope of digital augmentation, it is essential to establish a new category of AI development management that focuses on serving people rather than power.
The bias issues are data issues and governance issues
Today’s generation AI is trained on a narrow dataset and managed by centralized actors such as Xai and Openai, with limited public accountability. Training large language models on a limited dataset provides language models that enhance bias, reflect diverse perspectives, and undermine impartial initiatives. For example, Grok has sparked a backlash from the social media giant due to the militant reaction to certain prompts after the update.
Network state can be solved by enabling organizations that grant community governance, allowing new approaches to AI training and democratization. Shifting basic philosophy into consensus, ownership, privacy and community will reduce the negative implications of the distinctive features of AI discourse. Distributed communities within a network state define goals and datasets, and train AI models to meet their needs.
Impact decentralized autonomous organizations (DAOs) can help democratize AI by focusing on the use of blockchain technology for social good. They can collectively fund open source AI tools, promote comprehensive data collection and provide ongoing public monitoring. This approach shifts governance from gatekeeping to stewardship, ensuring that AI development benefits all humanity. Shared responsibility allows us to include the needs of the most vulnerable groups and encourages greater stakeholder buy-in on the benefits of AI.
Centralization is a threat to the AI Commons
Over 60% of the world’s leading AI developments are concentrated in a single US state in California, reflecting their highly impactful centralisation. This imbalance is not merely geographical. It is political and economic. Xai, for example, was accused of using a gas turbine to operate a data center in Memphis, Tennessee. This is a clear example of local governments being misaligned with people’s calls for environmental regulations. Without checking, this power can extract value from society, while causing harm to exist outside. This harm is exacerbated by the need for high energy output by AI, resulting in ecological factors that disproportionately affect certain communities.
Network state provides an alternative. A decentralized community not dismantled by borders where digital citizens co-create AI governance frameworks. Embedded into these systems, Impact DAOS allows participants to propose, vote, implement protection and incentives, and turn AI from a tool of control into a commons-oriented infrastructure. Expanding where AI is represented will reveal how technology is used for the positive social impact.
Towards transparent and regenerative AI management and applications
Today, most AI systems operate in black boxes of algorithms, creating real effects without specific human input or monitoring. From biased employment algorithms to opaque healthcare triage systems, people are the subject of automated decisions.
Related: Network state will one day compete with nation-states
Network state inverts that model by allowing Onchain governance and transparent public records. People can see how the rules are made, participate in their formation and become an exit if they disagree.
Impact DAOS builds on this vision by reducing harm and encouraging public goods replenishment. They invest in the long-term sustainability of a fair and auditable system, create open and transparent developments for the community, and invite external parties to opt in and provide funds and other resources.
Next phase
Legacy nation-states struggle to properly regulate AI due to the issues of relying on legislative lawmakers’ obsolete digital context, fragmented policies and leadership in legacy technology. Network State is building models from the ground up with blockchain native tools, distributed coordination and programmable governance. Impact DAOS is an open and public digital community driven by purpose, allowing us to unleash a new era of AI development. These communities can coordinate incentives and build participatory, representative, and regenerative AI by integrating decentralized blockchains and governance with generative and agent AI.
The foundation of the future of collective profit
AI should be viewed as a public good, not just an efficiency tool. New governance systems must be open, transparent and community-driven to achieve this. By adopting the comprehensive, technical and philosophical aspects of network state and Impact DAO, these systems can be built today. Prioritizing investments in infrastructures that support digital sovereignty and collective care are essential to designing the future of AI that benefits people as well as profits.
Opinion: Jarrad Hope, co-founder of the logo.
This article is for general informational purposes and is not intended to be considered legal or investment advice, and should not be done. The views, thoughts and opinions expressed here are the authors alone and do not necessarily reflect or express Cointregraph’s views and opinions.