How Blockchain Secures AI in the Face of Skepticism: Nuclei Founder Explains
December 2, 2024
As artificial intelligence (AI) continues to infiltrate the smallest corners of everyday life, doubts about its reliability are growing in parallel. Concerns about opaque algorithms, unethical data practices, and a lack of accountability are permeating public discourse.
BeInCrypto sits down with Matthias de Vries, founder of Nuclei, to discuss whether blockchain could be the answer.
The Black Box Problem of AI: Why Blockchain Could Be the Solution
Blockchain is often discussed only alongside cryptocurrencies in public discourse. However, recently, it has emerged as a surprising ally of artificial intelligence.
AI technology may be able to change public perception by leveraging blockchain’s ability to create transparent, auditable records of data use, model training, and algorithmic decisions.
AI systems are often called “black boxes,” making decisions without providing much clarity about how those decisions were actually made. This lack of clarity is particularly problematic in critical areas like finance, healthcare, and politics, where the stakes are high. Naturally, this causes public perception of their reliability to be shaken.
According to KPMG, three in five people, or 61%, are skeptical about trusting AI systems. 67% report low to moderate acceptance of AI. Across industries, AI use in HR is the least trusted and accepted, while AI use in healthcare is the most trusted and accepted.
“Blockchain plays a crucial role in enhancing transparency and trust in AI by establishing clear ownership of both data and AI models,” de Vries told BeInCrypto in an interview. “With blockchain, every transaction and modification is securely recorded, creating a clear trail that anyone can verify.”
“High-quality, large-scale data is essential for the development of AI, yet access to this data is increasingly restricted,” said de Vries. “Blockchain offers a way to fairly reward data contributors and ensure data is used ethically.”
This becomes critical as AI tools increasingly rely on a wide range of diverse datasets to avoid bias. If blockchain is integrated, healthcare systems can ensure that AI tools are properly trained and patient information is protected.