The Surprising Ways AI is Actually Helping
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Undecided with Matt Ferrell·Tech

The Surprising Ways AI is Actually Helping

TL;DR

AI traffic systems like Surtrac cut commute times 25% and near-misses by 100%, but require surveillance tradeoffs that privacy-preserving LiDAR tech can avoid.

Key Points

  • 1.Surtrac's AI traffic system dramatically outperforms older systems. Carnegie Mellon's Stephen Smith built Surtrac, which sped Pittsburgh commutes 25% faster, cut idling 40%, and reduced tailpipe emissions 21% by using real-time computer vision at connected intersections.
  • 2.LiDAR offers a privacy-safe alternative to camera-based traffic AI. Systems from Ouster and Seyond use laser point-clouds instead of cameras, making face and license plate recognition physically impossible — simplifying GDPR compliance in Europe and deploying to 220 intersections in Utah and Chattanooga.
  • 3.AI near-miss detection prevented every single crosswalk incident in Chattanooga. When Ouster's LiDAR-AI flagged repeated close-calls on one city block, planners added a crosswalk that reduced near-misses by 100%; research shows 300 near-misses occur for every major fatality, making this data more valuable than crash reports.
  • 4.Vancouver bike lane AI improvements nearly doubled ridership. Miovision's near-miss analysis suggested cheap safety changes that cut cyclist risk by 55% and boosted bicycle ridership by 68%, showing AI can optimize streets for all road users, not just cars.
  • 5.MAC address tracking and camera networks enable surprising surveillance creep. Miovision collects phone MAC addresses at intersections to measure travel times; Flock's camera network makes license plate data searchable nationwide across city and state lines; GM's OnStar was caught sharing driving data via app fine print, earning only a 5-year FTC ban with no fine.
  • 6.The core tension is maximizing AI's benefits while controlling data use. Smith's same optimization algorithm fed 100,000+ meals to Pittsburgh families during COVID, proving AI's genuine social value — but the lack of strong US privacy law means the balance between public benefit and surveillance remains unresolved.

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