Building Trust in AI: Chatbots, LLMs, Decentralized Finance, and JPMorgan Chase

James Massa, Senior Executive Director of Engineering and Architecture at JPMorgan Chase—and holder of six AI-related patents—emphasizes the evolving role of human experts in managing AI technologies and offers insights into the future convergence of AI and crypto. He also shares how major financial institutions are implementing guardrails around their AI systems, using techniques like retrieval augmented generation (RAG) with enterprise chatbots.

Key Takeaways: 

• How he's succeeded in applying trust scores to blockchain and DeFi projects by analyzing code vulnerabilities, suspicious transactions, and social media sentiment

• Using retrieval augmented generation (RAG) to ensure chatbots provide only pre-approved responses

• Balancing precision (always giving correct results) with recall (not missing any compliance issues)

• The importance of trust in AI, particularly in the context of blockchain and decentralized finance

• A practical roadmap for organizations navigating the AI revolution, bridging the gap between innovation and responsible governance

Guest Bio: James Massa is the Senior Executive Director of Engineering and Architecture at JPMorganChase. He holds six patents covering subjects such as AI Data Quality, cloud cost management, multi-teacher LLM distillation, and model self-healing. In 2024, James led a team that won the FSTech award for Best Financial Services IT Team, migrated 53 apps to AWS, published two IEEE papers on LLM blockchain security, and presented 14 keynotes, including one at UCSD.

He holds a master's degree from the computer science department of Harvard University, and a master's degree in finance from the City University of New York.  

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