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Accountability in the Age of AI Agents

on YouTube 34m
Talkat SiGMA South Asia 2025 · 2025-11-30..12-02· [ai-assisted-development]

speakers

name:Mark Flores Martin
links:none on file
name:Jeevan Gnanam
links:none on file
name:Rajkumar Kanagasingam
links:none on file
name:Sithira Ambepitiya
links:none on file

resources

video:https://youtu.be/WT2e7XDIidg
slides:none on file

summary

Panel argues AI agents act as 24/7 digital workers with memory, vector DBs and MCP toolchains, and shows a concrete healthcare use case: AIC scribing and voice agents that take full medical histories. Claims run local 30–50B models to keep data private. Warns of real harms: a chatbot data-exfiltration incident, a $500 test burn that could scale to millions, and compounding error rates across multi-agent nodes; SMEs can adopt via turnkey platforms already serving 40+ customers.

AI-written summary · about

chapters (13)

  1. 0:00Start
  2. 0:07Opening
  3. 0:19Introductions
  4. 2:12Agents vs Chatbots
  5. 3:31Business Demand
  6. 4:17Risk & Accuracy
  7. 6:13Human vs Agent
  8. 8:50Healthcare Example
  9. 11:03Accountability
  10. 13:08Jobs & Augmentation
  11. 15:20“Biggest AI Lie”
  12. 25:08Deploying at Scale
  13. 30:09SME Adoption

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