Shield AI, Waabi, and General Motors on building AI when failure is not an option at TechCrunch Disrupt 2026
An AI system controlling an aircraft, vehicle, or robot can create an entirely different kind of problem. When artificial intelligence (AI) moves into the physical world, a mistake can ground an aircraft, cause a vehicle crash, or compromise a mission. So how do you know when an autonomous system is actually ready to leave the lab?
- ▪An AI system controlling an aircraft, vehicle, or robot can create an entirely different kind of problem.
- ▪When artificial intelligence (AI) moves into the physical world, a mistake can ground an aircraft, cause a vehicle crash, or compromise a mission.
- ▪So how do you know when an autonomous system is actually ready to leave the lab?
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Story provenance
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Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/24/shield-ai-waabi-and-general-motors-on-building-ai-when-failure-is-not-an-option-at-techcrunch-disrupt-2026/ |
| Publication time | Thu, 24 Sep 2026 15:00:00 +0000 |
| Retrieval time | 2026-09-24T15:05:26.693Z |
| Last seen | 2026-09-24T15:05:26.693Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Ht1n9wf1gqDI · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
An AI chatbot can give you a bad answer. An AI system controlling an aircraft, vehicle, or robot can create an entirely different kind of problem. When artificial intelligence (AI) moves into the physical world, a mistake can ground an aircraft, cause a vehicle crash, or compromise a mission. So how do you know when an autonomous system is actually ready to leave the lab? At TechCrunch Disrupt 2026, Shield AI Chief Technology Officer Nathan Michael, Waabi founder and CEO Raquel Urtasun, and General Motors Director of Robotics Strategy Mikell Taylor will tackle that question on the Real World AI Stage in “Building AI Systems When Failure Is Not an Option.” Image Credits:TechCrunch The conversation will get into the work behind deploying AI where the stakes are high: creating a safety…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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