Introduction

Background

The advent of AI has transformed industries, economies, and societies. However, the centralized governance models of AI development have raised significant concerns over privacy, data security, and the equitable distribution of AI's benefits.

The proprietary nature of AI algorithms and the concentration of control among a few entities have further exacerbated these issues.

Problem Statement

Current AI governance models fall short in ensuring transparency, protecting individual privacy, and compensating data contributors fairly.

Additionally, these models often lack mechanisms for inclusive decision-making, leaving critical ethical and operational decisions in the hands of a select few.

Solution Overview

We propose a decentralized governance framework for AI, utilizing DAOs to facilitate democratic decision-making, ensure privacy and security through cryptographic techniques, and establish a fair compensation mechanism for contributors. This approach aims to democratize AI development, making it more accessible and equitable.