{"id":73268,"date":"2025-08-10T22:18:09","date_gmt":"2025-08-10T22:18:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/73268\/"},"modified":"2025-08-10T22:18:09","modified_gmt":"2025-08-10T22:18:09","slug":"septa-deploys-ai-cameras-to-curb-bus-lane-violations-metro-philadelphia","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/73268\/","title":{"rendered":"SEPTA deploys AI cameras to curb bus-lane violations \u2013 Metro Philadelphia"},"content":{"rendered":"

SEPTA<\/a> piloted a new enforcement tool\u00a0in\u00a0Philadelphia\u00a0in 2023: AI-powered cameras mounted on seven of its buses. The results were immediate and dramatic: In just 70 days, the cameras flagged over 36,000 cars blocking bus lanes.<\/p>\n

The\u00a0results of the pilot<\/a> gave the transportation authority valuable data into bus route obstruction and insights into the role of technology to combat these problems.<\/p>\n

In May 2025, SEPTA and the Philadelphia Parking Authority officially\u00a0launched the program citywide<\/a>. More than 150 buses and 38 trolleys across the city are fitted with similar artificial intelligence systems that scan license plates for possible violations. The system uses AI-powered cameras that use computer vision technology to spot vehicles blocking bus lanes and scans license plates to identify the vehicles breaking the rules. If the system flags a possible infraction, a human reviewer confirms it before a fine is issued: $76 in Center City, $51 elsewhere.<\/p>\n

This rollout comes as SEPTA faces a\u00a0$213 million budget shortfall, with imminent service cuts and fare hikes<\/a>.\n<\/p>\n

I\u2019m a\u00a0professor of information systems<\/a>\u00a0and the academic director of LeBow College of Business\u2019s\u00a0Center for Applied AI and Business Analytics<\/a>\u00a0at Drexel University. The center\u2019s research focuses on how organizations use AI, and what that means for trust, fairness and accountability.<\/p>\n

In a\u00a0recent survey<\/a>\u00a0the center conducted with 454 business leaders from industries including technology, finance, health care, manufacturing and government, we found that the use of AI is often rolled out faster than the governance needed to make sure it works fairly and transparently.<\/p>\n

\"ShapiroMELISSA MITMAN \/ METRO FILE PHOTO<\/p>\n

That gap between efficiency and oversight is especially common in public-sector organizations, according to our survey.<\/p>\n

That\u2019s why I believe it\u2019s important for SEPTA to manage its AI enforcement system carefully to earn public trust, while minimizing risks.\n<\/p>\n

Fairness and transparency<\/p>\n

When cars block a bus lane, they clog traffic. The resulting delays can mess up a person\u2019s day, causing missed connections or making riders late for work. That can leave riders with the feeling they can\u2019t rely on the transit system.<\/p>\n

So, if AI enforcement helps keep those lanes clear, it\u2019s a win. Buses move faster, and commutes are quicker.\n<\/p>\n

But here\u2019s the issue: Good intentions don\u2019t work if the system feels unfair or untrustworthy. Our survey also found that more than 70% of the surveyed organizations don\u2019t fully trust their own data. In the context of public enforcement, whether it\u2019s transit agencies or parking authorities, that\u2019s a warning sign.<\/p>\n

Without trustworthy data, AI-powered ticketing can turn efficiency into costly mistakes, such as wrongly issued citations that must be refunded, lost staff time correcting errors, and even legal challenges. Public confidence matters here because people are most likely to follow the rules and accept penalties when they see the process as accurate and transparent.<\/p>\n

Furthermore, this\u00a0finding from our survey<\/a>\u00a0really caught my attention: Only 28% of organizations report having a well-established AI governance model in place. Governance models are the guardrails that keep AI systems trustworthy and aligned with human values.<\/p>\n

That\u2019s troubling enough when private companies are using AI. But when a public agency like SEPTA looks at a driver\u2019s license plate and sends the driver a ticket, the stakes are higher. Public enforcement carries legal authority and demands a higher level of fairness and transparency.<\/p>\n

The AI label effect<\/p>\n

One may ask, \u201cIsn\u2019t this ticketing system just like red-light or speed cameras?\u201d\n<\/p>\n

Technically, yes. The system detects rule-breaking, and a human reviews the evidence before a citation is issued.\n<\/p>\n

But simply labeling the technology as AI can transform how it\u2019s perceived. This is known as the framing effect.
\n\"BusMELISSA MITMAN \/ METRO FILE\n<\/p>\n

Just calling something AI-driven can make people trust it less. Research has shown, whether a system is grading papers or hiring workers, that the exact same process\u00a0draws more skepticism when AI is mentioned<\/a>\u00a0than when it isn\u2019t. People hear \u201cAI\u201d and assume the machine is making judgment calls, so they start looking for flaws. Even if they think that AI is accurate, the trust gap never closes.<\/p>\n

That perception means public agencies need to align AI-based enforcement with transparency, visible safeguards and easy ways to challenge mistakes. These measures\u00a0increase trust in AI-based enforcement<\/a>.<\/p>\n

We\u2019ve seen what can go wrong, and how quickly trust can erode, when an AI-based enforcement system malfunctions. In late 2024,\u00a0AI cameras on Metropolitan Transportation Authority buses<\/a>\u00a0in New York City wrongly issued thousands of parking tickets, including nearly 900 cases where the drivers had actually followed the rules and parked legally.<\/p>\n

Even if such errors are rare, they can damage public confidence in the system.\n<\/p>\n

Build trust into the system<\/p>\n

The Organization for Economic Cooperation and Development, the international body setting AI policy standards across dozens of countries, has found that people are most likely to accept AI-driven decisions when\u00a0they understand how those decisions are made<\/a>\u00a0and have a clear, accessible way to challenge mistakes.<\/p>\n

In short, AI enforcement tools should work for people, not just on them. For SEPTA, that could mean the following:\n<\/p>\n

\u2022 Publishing clear bus-lane rules and any exceptions, so people know what\u2019s allowed.\n<\/p>\n

\u2022 Explaining safeguards, like the fact that every bus-camera violation is reviewed by Philadelphia Parking Authority staff before a ticket is issued.\n<\/p>\n

\u2022 Offering a straightforward appeals process with management review and a right to appeal.\n<\/p>\n

\u2022 Sharing enforcement data, such as how many violations and appeals are processed.\n<\/p>\n

These steps signal that the system is fair and accountable, helping shift it from feeling like a ticketing machine into a public service that people can trust.\n<\/p>\n

Murugan Anandarajan <\/a>is a Professor of Decision Sciences and Management Information Systems at Drexel University<\/p>\n","protected":false},"excerpt":{"rendered":"SEPTA piloted a new enforcement tool\u00a0in\u00a0Philadelphia\u00a0in 2023: AI-powered cameras mounted on seven of its buses. The results were…\n","protected":false},"author":2,"featured_media":73269,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[182,181,507,74],"class_list":["post-73268","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/73268","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=73268"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/73268\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/73269"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=73268"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=73268"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=73268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}