Artificial intelligence — commonly called AI — can be loosely defined as computer systems developing capabilities to perform complex tasks that historically only a human could do, such as reasoning, making decisions, or solving problems.
While AI technology can be positively transformative in many ways, there has also been significant discussion of some of its purported risks, including data privacy concerns, ethical and governance concerns, and monopolies and power concentration — aka centralization. Luckily, the rise of decentralized AI is helping to address these issues.
What Is Decentralized AI?
Decentralized AI refers to the distributed ownership and governance of AI, which we believe can help mitigate its risks and make the technology more transparent and accessible to all. It emerged from a combination of technological advancements, practical needs, and evolving technological trends.
Decentralized AI leverages blockchain technology to distribute ownership and governance over AI services, enable permissionless access to use or build AI, and increase transparency around AI.
Decentralized AI in Crypto
With the use of blockchain technology, protocols in the crypto ecosystem leverage decentralized AI to help solve real-world problems. Some of the solutions it provides include:
- Enhancing Privacy & Security: With data processed locally, the risk of a data breach is minimized.
- Increasing Cost Efficiency: Using decentralized networks may lower the infrastructure costs associated with central servers and data centers.
- Supporting Scalability: Leveraging the collective power of a distributed network allows decentralized AI to scale more efficiently.
- Fostering Innovation: Decentralization fosters a collaborative environment with minimal constraints — driving the development and deployment of additional AI applications.
Disclosures
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