Decentralized AI Key for Unbiased, Safer Solutions, Says Masa Network's Co-Founder
Summary:
Calanthia Mei, co-founder of Masa Network, emphasizes the importance of decentralized artificial intelligence (AI) in creating more transparent and unbiased solutions. She notes that decentralized AI addresses flaws inherent in centralized systems and ensures safer AI. Mei highlights blockchain's role in this process, which promotes transparency, enhances data privacy, and supports user-centric models. She cites the past failures of centralized AI models, including Google's controversial image generator, as examples of why a shift to decentralized AI is crucial. Mei also mentions Masa Network's contribution towards fair AI solutions, with their platform catering to over 1.58 million individual data contributors.
Calanthia Mei, co-founder of Masa Network, highlights the importance of decentralized artificial intelligence (AI) for building more transparent and impartial AI solutions. While centralized AI has enjoyed a major portion of funding, decentralized AI is instrumental in addressing fundamental flaws and ensuring safer, unbiased AI, Mei states. Blockchain-based decentralized AI reaps benefits in terms of clear decision-making, improved data privacy, and user-centric models that reward contributions of data or computing resources with token incentives.
In the past, popular centralized AI models have led to significant inaccuracies causing public uproar, as seen in the case of Google's AI image generator that was withdrawn after producing historically incorrect and controversial images. To resolve such issues of bias, decentralized AI plays a critical role in making the algorithm’s decision-making process transparent, as exemplified by Gemini AI.
Mei points out that centralized AI intensifies existing biases and privacy concerns, as occurred in the Gemini AI incident, where the AI inaccurately portrayed U.S. founding fathers as people of color. Decentralized AI, using blockchain-based protocols, provides transparency to verify the origin of AI data, which is essential for refining algorithms.
The quality and diversity of the data profoundly affect the performance and fairness of AI systems, Mei notes. Biased or insufficient data can result in skewed outcomes, undermining the trustworthiness of AI-powered decisions.
Masa Network is among the leading decentralized AI data and large language model protocols committed to providing dependable data to AI apps. As per Dune, more than 1.58 million individual wallets have contributed personal data to Masa Network.
On April 25, Masa Network announced its first 13 AI developer partners building on its decentralized platform. The network has earmarked $100,000 in MASA tokens for its decentralized AI developers to enhance the capabilities of decentralized AI. Masa Network, with its MASA token, was launched on the mainnet on April 11.
Among the first 13 projects on Masa are the decentralized social network CharacterX; Pond, a graph AI model for on-chain trading; and RootData, an AI-enabled Web3 data layer.
Published At
4/25/2024 5:00:00 PM
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