Michigan
Michigan lawmakers weigh new rules for artificial intelligence
Trump says US will loosen rules in push to win AI race
The Trump administration released a new artificial intelligence blueprint that aims to loosen environmental rules and vastly expand AI exports to allies, in a bid to maintain the American edge over China in the critical technology.
Policymakers eager to address how artificial intelligence should be regulated in Michigan — from governing how AI companies can operate in the state to determining what types of programs companies can use to monitor employee productivity — have plenty of ideas but haven’t been able to see all of their proposals into law, yet.
Measures to regulate AI were introduced in all 50 states last year, according to the National Conference of State Legislatures. While experts point out that innovation in AI generally occurs at a faster rate than state governments can propose and enact new policies, there’s a wide selection of proposals on regulating AI currently floating through the Michigan Legislature.
Michigan has made some headway in enacting AI regulation laws, including prohibiting the use of AI to create sexualized “deep fake” images. In 2025, the state created penalties, including fines and potential jail time, for using AI platforms to make fake or false images portraying a sexual act or intimate part of someone’s body. Lawmakers broadly supported the proposals, creating the law which passed the state Legislature by wide partisan margins.
Supporters of the pornographic deepfake ban said it would protect Michiganders from sexual exploitation.
And in 2023, Michigan became just the fifth state to require disclosing when AI is used in certain political campaign materials. If a campaign used AI in an ad or social media post within 90 days of an election, it would be subject to fines for each violation. The measure aims to prevent AI-driven misinformation during election season.
Here’s a look at other AI policies that have been proposed but not yet voted on:
Guardrails for AI companies
One policy measure would set rules for the companies that operate major AI programs.
House Bill 4668, introduced by Rep. Sarah Lightner, R-Springport, would require operators to create security features intended to mitigate risks. These measures include creating and implementing a publicly accessible safety and risk protocol. Developers would be tasked with using the protocol to manage “critical risks” associated with the AI model.
Critical risks would be considered a scenario where an AI model was used to carry out any incident that could lead to the death or injury of 100 people or $1 million in property damage.
Any company that spends $100 million on its AI model annually, or spends $5 million to start operations, would be subject to the requirements.
Advocates for Lightner’s bill say it’s important to place guardrails around AI, given its rapid evolution.
“Every technologic innovation has the potential for both good and harm,” said Felix De Simone, director of advocacy group Pause AI during a Sept. 11 House Judiciary Committee hearing on the bill. “It’s the responsibility of lawmakers to keep people safe from these harms while ensuring innovation moves in the public interest.”
Opponents of the bill, which include officials from different chambers of commerce around the state, warn it could stifle innovation from AI developers and dissuade them from operating in Michigan. Randy Gross, senior director of legislative affairs for the Michigan Chamber, said during the Sept. 11 hearing the group acknowledges a need for AI guardrails but believes the federal government should take the lead.
“Handling these issues at the state level is going to create a patchwork approach that will inevitably lead to some inconsistencies in application that will likely lead to some contradictions in how you regulate this issue,” Gross said.
While the House Judiciary Committee reported the bill during the Sept. 11 hearing, it has not received a vote from the full chamber, yet. A companion bill, HB 4667, would make it illegal to develop an AI system to commit a crime.
Use of AI to monitor workers
Labor advocates have warned of the possibility of AI being used for surveillance in the workplace. Since remote work boomed for many in traditional office jobs during the COVID-19 pandemic, the availability of AI surveillance programs for workers has escalated. These can include programs to monitor keystroke logging, facial recognition and even when a remote worker steps away for a bathroom break, according to the Aspen Policy Academy, a Bay Area organization that trains prospective lawmakers.
Some labor advocates argue this is an invasion of privacy.
“Invasive, unnecessary and unethical surveillance techniques (are) increasingly used to track the body movements and even facial expressions of employees continuously,” Rep. Penelope Tsernoglou, D-East Lansing, said at a Feb. 23 news conference.
In February, House Democrats proposed legislation that would define how AI could be used in the workplace when it comes to how employers can deploy AI to monitor workers’ productivity.
House Bill 5579, introduced by Tsernoglou, would ban employers from using AI programs to make decisions related to setting wages, hiring and firing workers, and tracking facial patterns of workers. Workplaces would still be allowed to use AI to screen large pools of candidates. Employers would also need to get written consent from workers when using an AI tool to monitor productivity.
The bill has backing from major labor groups, including the Michigan AFL-CIO.
There is opposition from some business groups, however. The Michigan Chamber said in a Feb. 25 news release, the bill would place strict parameters on employers and limit their abilities to maintain productive staff levels.
HB 5579 has been referred to the House Committee on Economic Competitiveness, where it awaits a hearing.
Banning AI chatbot ‘therapy’ for minors
Generative AI generally can be used to mimic some human behavior. Some AI platforms offer companion apps where a language model talks to a user like a real person.
This has raised concern over how minors use generative AI: A Stanford University study found it was easy for researchers to elicit inappropriate responses from a chatbot when posing as minors. The Federal Trade Commission also launched an inquiry into companion chatbots in September, seeking information on how platforms interact with minors.
OpenAI, which runs the popular ChatGPT program that’s become synonymous with generative AI, has faced wrongful death lawsuits after allegations that its chatbot affirmed suicidal ideations from users. OpenAI has denied claims that ChatGPT is responsible for the deaths.
Senate Bill 760, introduced by Sen. Dayna Polehanki, D-Livonia, would ban AI platforms from making chatbots available to minors that can mimic emotional support — specifically, the bill bans any platform retaining conversation history with a minor, sustaining dialogue about the user’s personal matters and offering unprompted emotional advice.
It’s part of a four-bill package aimed at improving social media safety for minors in Michigan.
“These systems are being deployed at scale, marketed as friendly, supportive and conversational. Yet they’re being released without any meaningful safeguards for minors. And when something goes wrong, the consequences can be very grave,” Polehanki said during a March 4 hearing in front of the Senate Committee on Finance, Insurance and Consumer Protection.
Some of the concerns with the proposal center around how AI platforms would verify the age of the user. Age verification laws have popped up in other states and been proposed in Michigan before. Generally, those opposing age verification laws worry about the security of personal information once it’s handed over to a website or another digital platform.
“That kind of data collection creates a honeypot for cyber criminals and bad actors to exploit,” Turner Loesel, a policy analyst at the James Madison Institute, said during the March 4 hearing.
SB 760 currently remains in committee.
Banning AI in public health care, rent-setting
Last year, Rep. Carrie Rheingans, D-Ann Arbor, introduced legislation that would ban the use of AI programs to determine claims for Medicaid and other health insurance programs on the health care marketplace. House Bills 4536 and 4537 were introduced in May and have both been referred to House Committee on Insurance.
House Bill 4538 would ban landlords from using an AI-driven algorithm to determine average rental prices in an area and then instituting rent at their properties derived from the AI’s calculations. The bill’s been referred to the Committee on Regulatory Reform.
The bills haven’t received hearings in their respective committees yet.
Six states — Arizona, California, Illinois, Maryland, Nebraska and Texas — have laws that in some way ban the usage of AI as the basis to deny health insurance claims, according to KFF (formerly Kaiser Family Foundation).
And while some major cities, like San Francisco and Philadelphia have banned using algorithms to set rental prices, adoption in states has been slower to occur, according to government relations firm MultiState.
Trump calls for federal AI standard
In December, President Donald Trump issued an executive order aimed at establishing a federal framework for AI regulation. Having state-level regulations could hamper innovation in AI, the president argued.
“My Administration must act with the Congress to ensure that there is a minimally burdensome national standard — not 50 discordant State ones,” the executive order states. “The resulting framework must forbid State laws that conflict with the policy set forth in this order. That framework should also ensure that children are protected, censorship is prevented, copyrights are respected, and communities are safeguarded. A carefully crafted national framework can ensure that the United States wins the AI race, as we must.”
So far, Congress hasn’t passed any legislation prohibiting states from setting their own AI regulations. Trump’s order also called on the Secretary of Commerce to publish a report examining regulations across all 50 states.
You can reach Arpan Lobo at alobo@freepress.com
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Michigan
Expert predictions for Michigan basketball in March Madness, live updates
Michigan basketball March Madness predictions
The NCAA Tournament gets underway this week. Before the first tipoff on Tuesday, there will be plenty of analysis and predictions from all over the nation about Michigan, Michigan State and the rest of the 68-team field.
The predictions will start rolling out during the NCAA Selection Show on Sunday night. Check back here soon for picks and bracket breakdowns from college basketball experts.
To wrap up the NCAA Tournament Selection show, Seth Davis, Clark Kellogg and Bruce Pearl made their picks.
They all believed Michigan would make the Final Four but not win the whole thing.
Davis and Pearl went with Arizona while Kellogg picked Purdue in the upset.
Coach Bruce Pearl, appearing on the NCAA Tournament Selection show, asked, “Is this going to be the year that Michigan goes and represents the Big Ten and maybe wins a national championship?”
Kenny Smith said “Michigan is a little vulnerable” due to injuries.
They are already without guard LJ Cason, who tore his right ACL in late February.
Yaxel Lendeborg expects to play in the NCAA Tournament despite suffering a low ankle sprain.
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Keith Gill, the commissioner of the Sun Belt Conference and chair of the NCAA Division I Men’s Basketball Committee for the 2025-26 season, spoke about the impact of the Big Ten Tournament, which Purdue won, beating Michigan, 80-72.
“”We had Michigan on the 2 line, and then when we scrubbed it when the Big Ten Tournament results came out, Arizona went to the 2 overall and Michigan the 3 overall.”
Michigan
Michigan basketball vs Purdue: Two powerhouses colliding for Big Ten Tournament title
Breaking down Michigan’s win vs Wisconsin to make Big Ten tourney final
Tony Garcia and Carlos Monarrez break down Michigan basketball’s win over Wisconsin to make the Big Ten Tournament final vs. Purdue.
CHICAGO − It’s fitting, really, this Big Ten Tournament championship matchup.
The showdown at United Center features 1-seed Michigan basketball (31-2) – the undisputed regular-season champs and a potential No. 1 overall NCAA seed – and 7-seed Purdue (26-8) – which was projected to be the top team in the conference, if not the nation, to open the season.
One of the Wolverines’ crowning achievements − of which there were many − during this season was their thumping of the Boilermakers in West Lafayette, Indiana, on Feb. 17. The Wolverines built a 20-point first-half lead and then held off coach Matt Painter’s team in a 91-80 victory.
“Give them credit,” Painter said following that game. “Just like in the last two games for us, where we set the tone on the glass, they set the tone for the game right there. Their size was there, but also they were quicker to the ball. I thought their guards did a good job of being around the basketball.
“They’re the No. 1 team in the country for a reason.”
The Wolverines won at Mackey Arena in large part because of they neutralized last season’s Big Ten player of the year, point guard Braden Smith. Though he finished with 20 points, none came in the first half at all and half came at the free throw line, with just four field-goal makes.
Likewise, U-M’s bigs controlled center Oscar Cluff.
The 6-foot-11 255-pounder, who averaged 10.1 points and 7.2 rebounds this season, put up just four and three respectively, against the Wolverines. He has rounded into form, however, during this Big Ten Tournament run for the Boilermakers, averaging 16 points and 11 boards in wins over Northwestern, Nebraska and UCLA.
Michigan advanced to the title game in thrilling fashion. On Friday, U-M was down two against Ohio State with less than five minutes to play, before forcing OSU to go just 2-for-12 from the floor in the Wolverines’ 71-67 victory.
Then, the real fireworks came against Wisconsin on Saturday. U-M built a 15-point lead with less than 10 minutes to play, only for the Badgers to shoot the lights out with a six-minute 23-4 run that featured seven 3s en route a 62-58 lead. With the score tied at 65, Michigan held the ball for the final possession ended by a Yaxel Lendeborg 25-foot 3-pointer from the right wing with 0.4 seconds left.
“What a fabulous basketball game, kind of a modern Big Ten game where teams were fighting, clawing, scrapping, competing at the highest level, but also making some high level shots and plays,” Michigan coach Dusty May said afterwards. “This is very, very healthy for us to be where we are right now, still finding some things out about ourselves and discovering new ways to win.”
Lendeborg didn’t score until there were 11 seconds in the first half, while Cadeau played just six of the opening 20 minutes with foul trouble. The two were critical in the second half, as they were in West Lafayette, where Cadeau scored 17 points and Lendeborg added 13 points and seven assists.
Michigan had six players in double figures that night, including L.J. Cason, who is out with an ACL tear. Michigan has played four times without Cason and each was a one-possession game with less than four minutes to play.
But the Wolverines have had the answers on every occasion.
Now, they have one last test against one of the most experienced teams in the league, to determine if they’ll become the first Big Ten team with back-to-back tourney titles since the Wolverines in 2017-18.
Michigan vs Purdue Big Ten Tournament championship game prediction
With the Boilermakers on their fourth game in four days – not to mention myriad poor matchups with U-M – they won’t be able to hang with Dusty May’s crew, which will earn its third banner (2025 tourney, 2025-26 regular season, 2026 tourney) in exactly 365 days. The pick: U-M 83, Purdue 72.
Tony Garcia is the Michigan beat writer for the Detroit Free Press. Email him at apgarcia@freepress.com and follow him on X at @RealTonyGarcia.
Michigan
Yaxel Lendeborg’s biggest shot shows why Michigan basketball needs him
How Michigan basketball survived Big Ten Tournament test vs OSU
Free Press’ Tony Garcia and Carlos Monarrez discuss Michigan basketball’s tough game vs. Ohio State in the Big Ten Tournament quarterfinals.
CHICAGO – Where was Yaxel Lendeborg?
The Big Ten player of the year was nearly invisible on the scoring sheet in Michigan basketball’s quarterfinal opener against Ohio State, and then again in the first half of a tight semifinal against Wisconsin at United Center on Saturday, March 14.
Then Lendeborg emerged. The true Lendeborg who has had so many big moments this season had one more, perhaps his biggest, when he appeared at the elbow with the clock ticking down.
Lendeborg took Elliot Cadeau’s pass and calmly launched a 3-pointer that swished in for the winning score with 0.4 seconds left. The Wolverines won, 68-65, improved to 31-2, and advanced to Sunday’s final against the winner of the Purdue-UCLA semifinal.
A day earlier, Cadeau said the Wolverines were the best team in the country even when Lendeborg wasn’t scoring. But on this day, it was clear U-M needed its best player in a showdown with the hot-shooting Badgers, who made 16 3-pointers (besting the 15 3s they made when they beat Michigan in Ann Arbor in January).
Austin Rapp led Wisconsin with 18 points and took over the game late, making five consecutive 3-pointers to pull Wisconsin ahead, 62-58, with 3:50 left. The Australian almost single-handedly erased the 54-39 lead Michigan built by coming out hot after from a 28-28 tie at halftime.
Wisconsin should have come in tired – and probably too tired to make so many 3s – after going to overtime against Illinois in Friday’s quarterfinal.
But feisty point guard Nick Boyd refused to even entertain the idea of fatigue or the need for rest.
“Ain’t no rest, you know what I’m saying? No rest,” he said Friday. “You’ve got to keep going. You get to play –Michigan, right? No. 3 or No. 2 team in the country. By the time you get out there and the lights is bright, ain’t nothing to think about.
“You talk about rest? We’ll play X amount of games and you’ve got to come out fighting. If you’re not excited and ready to go for a game like tomorrow, don’t even lace ’em up.”
Well, the Badgers laced ’em up, all right. And their footwear looked more like jackboots than sneakers as they started putting their foot on the Wolverines’ throats early, burying 3 after 3.
Even though the first half felt a lot more like a brick show to start off, Wisconsin established its perimeter offense early and started to distance itself from Michigan midway through the first stanza.
The Badgers were again spectacular on 3-pointers, hitting seven of 17 attempts – 41.2% – compared to the Wolverines’ 26.7%: four makes on 15 attempts.
Aleksas Bieliauskas led the Badgers with nine points in the first half, all courtesy of his 3-for-4 shooting from beyond the arc. He was also effective in Wisconsin’s January win, when he was 5-for-10 on 3s.
After Cadeau got into foul trouble – his second came just 8½ minutes in – and had to sit, the Wolverines looked less organized and the Badgers took advantage, pushing their lead to 18-11 with 9:43 left, then to eight, 26-18 with 4:26 left.
It was almost a miracle the Wolverines managed to enter halftime tied, 28-28. But they clawed back by going on a 10-2 run in the final 3:52 and playing tighter defense, led by Morez Johnson Jr.’s steal and block down the stretch, which was punctuated by Lendeborg’s 3-pointer with 11 seconds left – for his first points of the half on 1-for-5 shooting.
Contact Carlos Monarrez at cmonarrez@freepress.com and follow him on X @cmonarrez.
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