Minnesota legislators debate self-driving car laws



To legally get behind the wheel in Minnesota, drivers need a license and familiarity with the rules of the road.

But what goes when a vehicle drives on its own without a human behind the wheel? What happens if it crashes, or breaks the law, or if there’s a snowstorm? That's what Minnesota lawmakers are grappling with as self-driving cars hit the streets in Minneapolis without much state regulation on the books.

Members of both parties agree legislation is needed. However, serious discussion and political division surrounds matters of safety, accessibility, weather, local regulatory authority and how rideshare drivers might be impacted.

Corbb O’Connor, the president of the National Federation of the Blind of Minnesota, said autonomous vehicles can benefit disabled people. The National Federation of the Blind has given feedback to Waymo to make their vehicles more accessible.

“A couple of years ago in San Francisco, I wanted to try a legendary sandwich, so I used Waymo with my iPhone’s built-in accessibility features to find the car and ride across the city. No driver, no guide dog discrimination and no discussion. Just dinner,” O’Connor said at a Minnesota Senate Transportation Committee hearing Wednesday.

O’Connor said driverless cars take driver bias out of the equation. Just this month, the rideshare company Lyft settled with a blind student in Minnesota who claimed drivers canceled rides on her when they realized she had a guide dog.

“We see this as an urgent issue because of that documented discrimination against passengers with disabilities, especially those using guide dogs,” O’Connor said.

Robert Wudlick, a member of the Minnesota Council on Disability, said he also wants to encourage autonomous vehicle companies to expand to Minnesota. However, Wudlick said accessibility requirements, like including wheelchair-accessible vans in each vehicle fleet, should be written into law. 

“One thing I've learned is that accessibility in our community does not come voluntarily,” he told state senators.

Accessibility is just one of many issues being discussed by lawmakers. On one end of the spectrum, some lawmakers want to prioritize making Minnesota attractive to autonomous vehicle companies.

Two people sit on a stage to talk.
MPR News politics editor Brian Bakst interviews Sen. Carla Nelson, R-Rochester, during a recording of a Politics Friday show in Rochester, Minn., on Oct. 21, 2025.
Josh Sauvageau | MPR News

“We cannot stop progress,” said Sen. Carla Nelson, R-Rochester. “But I think we should be drivers of the change that's coming, and do so in a thoughtful way.”

Proposed legislation backed by Waymo would explicitly allow self-driving cars and prevent local governments from regulating them.

Sen. Scott Dibble, DFL-Minneapolis, said while he’s willing to compromise on other issues, he will insist on preserving local authority.

"We have seen companies use their size, scale and corporate power to run roughshod over local authority, limiting the ability of cities to manage their own streets, their own right of way and public infrastructure in the public's interest," Dibble said this week.

On the other end of that spectrum, a labor-backed DFL bill would ban autonomous vehicles in Minnesota until the potential impacts to the rideshare workforce, accessibility, safety and infrastructure are studied. Even then, the bill would require human operators in the vehicles as a safety backup.

A womam stands at her desk and speaks into a mic
Sen. Erin Maye Quade speaks on the Senate floor on April 29, 2024, at the State Capitol.
Ben Hovland | MPR News

Bill sponsor Sen. Erin Maye Quade, DFL-Apple Valley, rattled off several high-profile examples of Waymo self-driving cars acting inappropriately and unsafely in other states. Maye Quade described one instance when a Waymo car briefly blocked an ambulance from responding to a mass shooting in Texas and an incident when a Waymo car drove on light rail tracks in Arizona, forcing the passenger to exit the vehicle before a train approached.

“We have a responsibility to Minnesotans to ensure that if autonomous vehicles eventually do operate in our state — and I am not opposed to that — they do so under rules informed by independent research, public input and careful consideration of the impacts,” Maye Quade said.

David Stiggers, a transit union leader and longtime bus driver, supports Maye Quade’s bill.

“We just had 15 inches of snow. Can an autonomous vehicle really greet you at the front door and help you through the snow-covered sidewalk to the vehicle safely?” Stiggers said. “I think not. People do that. Minnesotans do that.”

Sen. John Jasinski, R-Faribault, said requiring drivers in driverless vehicles “just sounds crazy to me.”

Jaskinski said that’s tantamount to legalizing cell phones but requiring them to have cords. “It just doesn't make sense.”

Waymo started testing its fleet — with human drivers for now — in Minneapolis. The company hired four lobbyists in Minnesota last year, and its representatives have been testifying at the Capitol.

Republicans and Democrats agree there should be no city buses, school buses or semi trucks operating without a driver any time soon.

“Regardless of what the legislature decides to do with taxi cabs, I think we can draw a line at commercial vehicles and make sure we have human drivers in our trucks and buses,” said Sen. Jennifer McEwen, DFL-Duluth, who sponsors a bipartisan bill that would ban large commercial driverless vehicles until 2033.

Lawmakers have until May 18 to try to get autonomous vehicle bills through the divided Legislature.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


The internet is changing and so is the way we search and find information. The trick behind all the search queries is nothing but a web crawler.

Yes, the machine that searches the web, retrieves data, and assists search engines such as Google in sorting the information into searchable indexes. Search engines would be nothing without crawlers. But do you know there are different types of crawlers lately?

Well, traditional crawlers like Googlebot have been using rule-based systems over the years to retrieve information and sift through links and draw results to user queries. This method is still effective, although there are a few limitations it comes with.

Let’s now introduce the new age of AI-powered crawlers, a next-generation genus of bots, based on artificial intelligence and machine learning. These crawlers do not just search the sites; they comprehend the sites. Through semantics, tone and context, they are going above and beyond in the web searching landscape.

Here in this blog, we are going to discuss the differences between traditional and AI crawlers, alongside how they will transform search in the future and share practical tips to make your content the best to thrive in today’s digital world.

So, let’s get started!

What are Traditional Crawlers? Traditional Crawlers

The old-fashioned crawlers, namely Googlebot and Bingbot are based on the following principles, scan, copy and index. They operate similar to librarians and index the information by use of HTML structures, metadata, and keywords.

    • Process: They search links, analyze code, and store page information in huge search databases.
    • Reliability: Suits well with static web sites and organized content.
    • Weakness: Problems with changing websites, with dynamic components, such as JavaScript-bulky applications, and subtle context.

As an example, a traditional crawler might not pick up the product information in a product page when it rewrites the class names or changes the structure of the product page, causing indexing errors. This has led the industry to smarter and AI-assisted means.

What Are AI Crawlers?

AI Crawlers

Intelligent crawlers go beyond bot to be more of an interpreter. Through the use of natural language processing (NLP), computer vision, and machine learning, they are able to comprehend content in a manner that can replicate human understanding.

    • Context Awareness: AI crawlers do not only read the text; however, they define meaning, tone, and purpose.
    • Flexibility: AI crawlers will be able to identify and retrieve suitable information even when a site alters the structure of the site.
    • Multimedia Intelligence: They are capable of processing video, audio and picture, and are therefore much more intelligent than bots that are rule-based.

Just think of a crawler that does not just read a blog post but knows whether it is a product review, a thought-leadership article or a how-to guide. This is the hope of AI-support crawling.

The Rising Dominance of Googlebot.

According to recent stats from Cloudflare, Googlebot is still dominating although AI crawlers are on the rise. Googlebot grew by 96 percent in May 2024-May 2025, with highs in April 2025 of 145 percent of the traffic of May 2024.

This spike was accompanying the introduction of AI Overviews by Google, which added generative answers to search results. The combination of old-style crawling with the use of AI improvements is the future of Google as the hybrid is establishing preconditions of the coexistence of the two systems.

How Does Traditional Search Work?

To value the changes, one should go back to the way the search engines used to operate:

Crawling/ Indexing– Robots search through internet sites and archive copies of pages on servers.

Ranking Algorithms– The ranking of pages depends on the relevance of the key words, back links and the freshness of the content.

Displayed Results– The Results display ads, organic links, snippets, and panels.

AI-Driven Search: A New Era

AI based search engines extend past keywords. They can:

    • Know natural language – responding to complex conversational questions.
    • Provide direct responses – eliminating the necessity to browse through several results.
    • Individualize findings – customize suggestions according to the behavior of the user.
    • Manipulate multimedia – The analysis of videos and podcasts, as well as voice recognition.

ChatGPT, Google Gemini, and Microsoft Copilot are the members of Large Language Models that can transform the search into a conversation instead of a list of search results.

AI Crawlers vs Traditional Crawlers: Key Differences

1. Understanding User Intent

Traditional Crawlers: Search query by a key word and scratch the surface without necessarily realizing what the query entails.

AI Crawlers: This is the next level, whereby the search engine goes beyond the keyword and interprets user intent, semantics and context to deliver even more useful information.

2. Scalability and Efficiency

Traditional Crawlers: Are able to construct a mass of data, but they can create duplicates or irrelevant records as they are not very aware of the context.

AI Crawlers: Smart filtering and prioritization of content, which creates a leaner and more efficient indexing which is more relevant.

3. Real-Time Adaptation

Traditional Crawlers are not good at keeping up with new structure of websites or newer technologies being introduced and thus require manual updating.

AI Crawlers): Learn and adapt in real time and recognize patterns and evolve without human interaction.

4. Content Depth and Quality

Traditional Crawlers– These are typically employed to access visible text and links, and they might not be concerned with multimedia, user-created and interactive content.

The AI crawlers use multimedia, dynamic content and even sentiment to produce a more refined view of the entire quality of pages.

Sharing Quick Wins for Crawlability

Technical SEO is essential even with the further development of AI. The following are fast fixes to increase crawlability:

Important pages should be served with server-side rendering (SSR).

    • Keep HTML lean, semantic and clean.
    • Enhance page speed- sluggish sites are conquered.
    • Provide clear, descriptive headings and titles (H1 -H3).
    • Blocking AI crawlers in robots.txt or llms.txt is not advisable.
    • Publicize verifiable factual, well formatted and prompt information.

Conclusion: Preparing for the Future of Indexing

The future of search lies at the intersection of traditional and AI crawling. While rule-based crawlers remain essential, AI-powered crawlers bring a new level of intelligence, adaptability, and context awareness.

For brands, this means rethinking SEO strategies and embracing AI Optimization (AIO) alongside Generative Engine Optimization (GEO). By preparing content for AI-driven indexing today, businesses can ensure long-term visibility, authority, and discoverability in tomorrow’s search ecosystem.

Stay updated with all the latest blog topics, here with us!

Recommended For You:

What are your Alternatives if your website has been hit by Google penalty?



Source link