How to Set the AI Innovation Speed Limit
summary
Argues that companies can fix AI risks by building more AI rather than pausing: Telus deploys a customer‑service agent on a foundational model (ChatGPT‑style) and adds a second LLM that continuously probes the primary model for privacy leaks, harmful outputs and corporate‑data spills, logging and flagging failures for engineers. The pipeline runs at scale (constant interrogation rather than occasional human review), produces fewer incidents and earns a formal privacy‑by‑design recognition — an instance of acceleration ethics and automated safety probe.
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chapters (7)
- 0:00AI innovation speed limits
- 3:19Precaution vs acceleration speeds
- 10:51Precaution vs acceleration theory
- 16:49Tellus acceleration ethics case
- 21:59Tellus AI results and awards
- 24:10Responsible AI speed limits
- 27:19Precaution vs acceleration concept
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