TEAtalks E4 | Triple-Entry Accounting as a Means of Auditing Large Language Models

In this episode of TEAtalks, host Rhian Lewis sits down with Konstantinos Sgantzos to explore how Triple Entry Accounting (TEA) can revolutionize the auditing of Large Language Models (LLMs), ensuring transparency, accountability, and intellectual property protection in AI systems. They discuss: The risks of LLMs, including intellectual property violations and misuse How TEA creates an immutable audit trail for AI-generated outputs The role of blockchain in securing verifiable and tamper-proof AI records Pseudonymization techniques to balance privacy and transparency How TEA can prevent AI misuse in generating misinformation and malware The future of TEA in AI ethics and governance If you’re interested in how blockchain, cryptographic verification, and decentralized ledgers can shape the future of AI transparency and accountability, this episode is essential listening.