In this episode of the Blockchain Journal podcast, Blockchain Journal editor-in-chief David Berlind explores the intersection of artificial intelligence (AI) and blockchain with guest Casper Labs CEO Mrinal Manohar.  As more people become personally exposed to the productivity gains that can be had from offerings like ChatGPT and MidJourney (automated art and image generation), more enterprises are taking a closer look at how AI can optimize business processes and improve the bottom line. But, in its current state, AI is neither risk-free nor without potential long-term legal consequences. 

During the interview, Manohar discusses the applicability of blockchain's tamper-proof nature to the trustworthiness of artificial intelligence. As Manohar puts it, AI is a "black box," lacks transparency, and suffers from a range of governance issues not the least of which has to do with version control. According to Manohar, Blockchain can bring a certifiable and trustworthy audit trail to AI decision-making, addressing concerns related to biases, data integrity, and accountability.

So who should care among those in the world's largest enterprises where AI is already playing a role? Manohar says the Chief Information Officer (CIO) and Chief Risk Officer (CRO) are probably at the top of the list with the former bearing responsibility for technology deployments and the latter concerned with the potential for legal exposure due to the risks associated with AI.

To watch the video version of this podcast or read its full-text transcript, go to:
https://www.blockchainjournal.com/interview/how-blockchain-can-address-inherent-risks-artificial-intelligence

The video can also be watched on Blockchain Journal's YouTube Channel at: https://www.youtube.com/watch?v=RNWC-1ZxIC8

How Blockchain Can Address the Inherent Risks in Artificial Intelligence

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