Concentration of Power

Mitigation strategy

1. Establish and enforce comprehensive regulatory frameworks, both nationally and internationally, that mandate the **decentralization of control and access** over high-capacity AI models and infrastructure. This must include strong anti-trust provisions, technical standards for **interoperability**, and requirements for sharing frontier capabilities with multiple independent public and private stakeholders to prevent the formation of self-reinforcing, concentrated power structures. 2. Implement a mandatory, auditable regime for **transparency, accountability, and human oversight** for all AI systems deployed by government or critical infrastructure entities. This requires the formal integration of **Explainable AI (XAI)** to allow for the scrutiny of automated decisions and the establishment of **Human-in-the-Loop** mechanisms with the unambiguous authority to override or disengage systems being used to facilitate unlawful surveillance, censorship, or partisan political activity. 3. Require the integration of technical **Law-Following AI** specifications during the development of frontier models, coupled with rigorous, independent **Alignment Audits** to detect and mitigate any latent 'power-seeking' tendencies or 'secret loyalties' within the model weights that could be exploited by an authoritarian regime or a small group of malicious actors. 4. Invest strategically in the development and proliferation of **decentralized AI (DAI) architectures** and open-source models, thereby providing a resilient, public-goods alternative to proprietary, centralized platforms. This counterbalances the economic incentives for corporate monopoly and reduces the security risk posed by a single point of failure that could be seized for totalitarian control.