MTA's A.I. bus cameras issue mistaken parking violations

Role of “AI” and Source of Errors

• Several commenters say the issue is misconfiguration and bad categorical data, not AI per se; similar mistakes could occur with human enforcement given wrong instructions.
• Others argue bad training/input data is inherently an AI problem, highlighting the “garbage in, garbage out” dynamic.
• Some note the tech is closer to long‑used automated license plate recognition than to cutting‑edge AI.

Rollout Strategy, Error Rates, and Due Process

• One camp defends rapid deployment and iteration, especially for low‑stakes traffic violations.
• Others call this a false choice, arguing systems could start with non‑monetary warnings to debug before issuing fines.
• In this case, cameras reportedly issued thousands of tickets on two routes that were still in a “warning phase,” and hundreds where no infraction occurred.
• Some see even a small error rate as unacceptable without human review, citing horror stories with toll systems and opaque, hard‑to-win appeals where agencies presume scanner infallibility.
• There is concern that appeals often require paying first, rely on internal reviewers, and lack independent oversight or clear explanations.

Citizen Enforcement and Bounties

• Suggestions include paying bounties to residents who submit photos of violations, with ID checks and multiple images to limit abuse.
• Critics argue this erodes social trust, creates financial incentives to “snitch,” and could provoke confrontations, though others say there’s little evidence of serious retaliation so far.
• Existing NYC idling-enforcement bounties are discussed as precedent.

Bus Lanes, Parking Policy, and Social Impact

• Some see bus lanes and strict enforcement as essential to improve transit speed and reliability; others call them wasteful and question whether measured gains justify the costs.
• Disagreement over whether ticket programs are primarily safety/efficiency tools or “money printing machines.”
• Concerns raised about overbroad automated enforcement in places like Alameda County and the broader move toward a “Minority Report” style surveillance state.

Costs and Implementation Details

• The ~$58k per bus price prompts skepticism; responses note this likely bundles rugged hardware, communications, software, data storage, staffing, maintenance, and service contracts, not just a camera.