Community-Driven AI

Definition ∞ Community-Driven AI refers to artificial intelligence systems whose development, governance, and operational direction are significantly influenced by a collective user base or community. This model diverges from traditional top-down AI development by incorporating input, feedback, and even direct contributions from a broader group of stakeholders. Such systems aim to align AI functionalities with the collective needs and ethical considerations of their users, potentially leading to more decentralized and user-centric artificial intelligence applications.
Context ∞ The emergence of Community-Driven AI is generating considerable discussion regarding decentralized autonomous organizations (DAOs) and their application in AI model training and parameter tuning. Key debates involve establishing robust governance mechanisms to prevent manipulation and ensure equitable participation. Future developments will likely focus on creating transparent frameworks for community contribution and reward, alongside addressing the computational and data governance challenges inherent in such decentralized approaches.