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Demystifying the emerging legal issues of AI

on YouTube 28m
Talkat Big Data & AI Toronto 2020 · 2020-09-29..09-30· [policy-and-regulation, privacy-and-compliance]

speaker

name:Myron Mallia-Dare
links:none on file

resources

video:https://youtu.be/3h-jyY9iEb0
slides:none on file

summary

Rapid innovation creates concrete legal gaps: an autonomous trucking prototype (AutoTruck) learns from customer, sensor and third‑party feeds and produces an efficiency improvement that may belong to the customer unless agreements specify otherwise. Recommended actions are to audit source licenses, use aggregation/anonymization, negotiate ownership of learned improvements and paid customizations, run rigorous precommercial testing with continuous monitoring, put limits, indemnities and caps in contracts, buy insurance, map flows with a data flow diagram and bake in privacy by design for cross‑border compliance.

AI-written summary · about

chapters (5)

  1. 0:00Start
  2. 8:48IP Issues - Outputs and Improvements
  3. 11:08Liability Issues
  4. 20:05Compliance with Privacy Laws
  5. 24:46Key Takeaways

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