published for DAO UTokyo https://www.iii.u-tokyo.ac.jp/event/230921event
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Abstract:
The integration of blockchain technology with artificial intelligence (AI) presents a novel approach to addressing the inherent issues of transparency, centralization, and bias that plague current AI systems. This paper explores the synergy between blockchain's immutable and transparent nature with AI's need for vast, unbiased data sets, offering a path toward decentralized AI systems. We discuss the potential for blockchain to democratize AI development, ensure data authenticity, and promote neutral, bias-free AI decision-making processes.
Key Points:
1. Transparency and Accountability:
AI's current opacity is a significant hurdle. Blockchain can inject transparency by providing a verifiable record of AI decisions and data provenance.
2. Decentralized Data Management:
Centralized data repositories lead to monopolies and censorship. Blockchain enables a decentralized data infrastructure, enhancing data security and accessibility.
3. Bias Reduction:
Ensuring diversity in data annotation and model training is crucial. Decentralized platforms can facilitate broader participation, reducing systemic biases.
4. Innovative Solutions and Case Studies:
Decentralized AI models, like Numer.ai, and platforms for decentralized annotation showcase the practical application of these principles. The EU's initiatives for machine-readable data mining opt-outs and the Cross-Platform Origin of Content Framework are highlighted as regulatory advancements supporting this cause.
5. Web3 Crowdsourcing for AI:
Exploring methods such as peer prediction, staking, and prediction markets, we propose Web3-based incentives for crowdsourcing honest data, ensuring a diverse and equitable AI development landscape.
Conclusion:
Blockchain's inherent properties offer a foundation for building credible and neutral AI systems. By fostering transparency, decentralization, and diversity, blockchain technology not only addresses AI's current limitations but also aligns AI development with ethical standards and societal needs.