<ul><li>Combining AI and blockchain has been seen as a futuristic solution, promising decentralized and intelligent systems.</li><li>When AI fails on the blockchain, the issue of responsibility becomes complex.</li><li>The dream of merging AI with blockchain stems from the potential of processing data and ensuring transparency.</li><li>However, practical implementation reveals challenges and flaws in the system.</li><li>A scenario of a lending dApp using AI to assess borrowers highlights potential risks and errors in decision-making.</li><li>In case of failures, accountability becomes a game of pass-the-buck between developers, AI providers, users, and the blockchain itself.</li><li>Decentralized systems lack a clear entity to shoulder responsibility when failures occur.</li><li>Lack of trust in AI systems complicates matters, especially in financial decision-making scenarios.</li><li>The crux of failures lies in the design and integration of AI and blockchain systems, rather than the tools themselves.</li><li>Legal and ethical implications arise when decentralized AI systems lead to discriminatory decisions without clear accountability.</li></ul>

When AI Fails on the Blockchain, Who Do We Blame?

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