AI's potential to transform industries and how we work is undeniable. However, closed AI systems, where data and algorithms are locked away, can hinder this progress. This raises red flags for businesses concerned about privacy, transparency, and potential bias in these systems.

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Take for example Sora, OpenAI’s text-to-image generator, introduced to the public early this year. In a Wall Street Journal interview Mira Murati, CTO of OpenAI, claimed that Sora was trained on publicly available and licensed data. However, when asked about specific sources, she hesitated, revealing uncertainty despite her position.

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The inner workings of the AI remain opaque. We can't see how these systems make decisions, making it hard to identify and address potential biases – a big concern for many businesses and consumers alike today.  

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Blockchain: A Secure and Transparent Platform for AI

Try to envision a future where AI is transparent and ethically created. 

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There's a solution on the horizon: blockchain technology. Renowned for its secure and transparent record-keeping, blockchain offers a way to overcome the limitations of closed AI systems. Imagine a large shared database, accessible to everyone on the network, where information can't be tampered with once it's added. That's the core of blockchain. 

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Let’s take a look at three ways that blockchain is unlocking the power of AI. 

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Transparency, Security, and Trust

The closed nature of AI systems not only limits access to data but also erodes trust in the technology. Users have no insight into how their data is being used or whether decisions made by AI are fair and unbiased. This opacity can lead to skepticism and reluctance to engage with AI technologies, hindering adoption and potential benefits. 

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Meta used publicly available Facebook and Instagram content to train parts of its Meta AI virtual assistant. They also intentionally excluded private posts shared exclusively with friends and family, demonstrating a commitment to respecting users' privacy. While Meta was transparent about utilizing publicly available data from Facebook and Instagram, it's worth noting that users may not have explicitly consented to this use of their information.

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There are three AI on the blockchain projects that address these challenges with transparency, security and trust are: 

• Ocean Protocol offers a decentralized data exchange protocol, empowering data providers to securely and transparently share their data.
• SingularityNET operates a decentralized AI marketplace, providing developers with the opportunity to share and monetize their AI algorithms and services.
• Fetch.ai introduces a decentralized platform that integrates AI, machine learning, and blockchain technology to establish a digital economy.

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These top AI projects - SingularityNET, Fetch.ai, and Ocean Protocol - have come together to form the Artificial Superintelligence Alliance, also known as the ASI Alliance valued at US$7.5B. They aim to pool the knowledge, expertise, computing power, data, and market reach of the three organizations to address the problem of concentrated power in the field of AI, following an open and decentralized approach. 

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Combating Bias in AI

Bias in AI algorithms can perpetuate discrimination and inequality, often resulting from lack of diversity in training data. When big tech companies that develop these AI systems conceal data and algorithms used, it makes it difficult to identify and address biases. As a result AI systems may produce unfair outcomes that disproportionately affect certain groups.

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In healthcare, training data with limited diversity can lead to AI systems that unintentionally disadvantage certain patient groups. In 2023, a class action lawsuit accused UnitedHealth of using an AI algorithm that systematically denies elderly patients' claims for care that were deemed necessary by attending physicians.  

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Synesis One is a decentralized data crowdsourcing platform on the Solana blockchain, democratizing AI by rewarding user contributions. Its community-powered governance ensures stakeholder input, promoting fairness and inclusivity.

Open Collaboration

Closed AI systems pose barriers to collaboration and innovation, keeping valuable data and algorithms locked within individual organizations. This lack of collaboration slows progress and restricts AI's ability to tackle complex challenges.

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In contrast, blockchain technology offers a solution by providing a decentralized platform for securely and transparently sharing data and algorithms. This opens up opportunities for collaboration and knowledge exchange among diverse stakeholders, driving innovation forward.

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Flock.io is at the forefront of this movement, developing a collaborative AI model fine-tuning platform. By fostering a community dedicated to innovating AI in a user-oriented manner, Flock.io encourages developers to join forces and collectively advance AI development through collaboration and knowledge sharing.

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Conclusion

The future of AI is bright, and blockchain technology presents a compelling vision for a more secure, transparent, and collaborative approach to its development.  

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