doing this means removing the key legal tool used to combat discrimination in modern credit underwriting systems.
the upshot is people simply seeking to get access to loans and credit will be treated even worse by the existing financial system — either no loan or on worse terms.
the Trump administration wants to make it easy for financial institutions to discriminate.
gutting disparate impact liability in fair lending has been an overarching goal of the banking lobby, mortgage trade groups, and conservative activists for decades.
news.bloomberglaw.com/banking-law/...
wow. SR 11-7 —one of the few functional documents for AI governance before anyone said "AI" — RIP, we barely knew you.
www.federalreserve.gov/supervisionr...
www.federalreserve.gov/supervisionr...
wow. SR 11-7 —one of the few functional documents for AI governance before anyone said "AI" — RIP, we barely knew you.
www.federalreserve.gov/supervisionr...
www.federalreserve.gov/supervisionr...
WAS 🚈 CVS
We are pleased to announce that Tina M. Park has been selected as Upturn’s next Executive Director. Tina’s combination of research depth and movement orientation will make her an outstanding Executive Director for our next chapter. Join us in welcoming Tina to Upturn! www.upturn.org/executive-di...
ah. "I am willing to risk the giving up of my Rights and Privileges as a Citizen for our Great Military and Country!"
The Tech Team at ACLU is hiring! We are looking for a Data Scientist with expertise in NLP and AI ethics to work on using language tech to support ACLU's mission. Come help us tackle questions about how AI systems can be carefully applied to support the public interest. www.aclu.org/careers/appl...
How is LinkedIn ensuring AI content won’t include any discriminatory, abusive, or biased content? LinkedIn strives to ensure that its products and services are fair, including by measuring and mitigating algorithmic bias. Our objective is to ensure equally qualified members receive equal treatment by our models. As with all our products, our teams continuously assess our systems, and if harmful biases are identified, we will work to address them.
What hirers receive after screening interview Once the candidate completes the AI screening interview, you receive the full transcript and the audio or video recording, along with AI-generated summaries and a 5-point rating based on your ideal responses. As the hirer, you are responsible for reviewing and verifying all AI-generated information before making any hiring decisions. Candidates may contact you to request an accommodation, or to access their rating, summaries, transcript, or recording. You retain full control over evaluation and can decide how to proceed with each candidate. How interview ratings work Ratings are determined by using AI to analyze the applicant’s interview transcript. The overall rating provided to the hirer is the average rating of the applicant’s responses to each of your questions. Each of the applicant’s responses is rated on the following criteria: Its match to the hirer’s ideal response Whether the applicant supported it with details, such as evidence and examples Whether it was clear, concise, and well structured Note that as the hirer, you may have legal obligations associated with AI screening interviews and ratings, and are responsible for final hiring decisions. We encourage you to review the candidates’ AI interview transcripts or recordings, in addition to the ratings and summaries, before making any decision on candidate advancement. If you prefer not to receive candidate ratings, you can turn them off and still receive an interview summary without a numerical rating or agentic recommendation. To update this preference, go to the AI Interview module on the Hiring Plan page and select AI Interview Settings. On the settings page, you’ll find an option to turn off AI-generated applicant ratings.
www.linkedin.com/help/linkedi...
LinkedIn recently began testing AI interviews with its LinkedIn Hiring Pro tool, an AI agent for small businesses. Small orgs don’t always have a dedicated TA pro—or even an HR pro—and often leave hiring to someone else in the business, Chimka noted. This new offering aims to allow employers and job seekers more flexibility. Employers can input the questions they want the interviewer to ask, and the answers they want to hear, and the AI will compare the candidates’ answers to that criteria. Job seekers can practice and interview at a time that works best for them, instead of having to fit into someone else’s schedule. While it’s early days, 80% of candidates who have completed an interview with the tool have given it a positive rating.
"Employers can input the questions they want the interviewer to ask, and the answers they want to hear, and the AI will compare the candidates’ answers to that criteria."
would love to see the validation study for this new product
very important work ⬇️
this is not to claim that the common pre-genAI policy interventions were robust or even working, it's just to state that the technological shift renders many of them obsolete at worst.
comparing and contrasting the machine learning development pipeline to the genAI development pipeline, it's clear that their affordances are very different, and as a result, policy interventions dependent upon specific technical affordances are incredibly brittle.
The text reads “TechTonic x Upturn | Toward Justice in Technology Present: The Impending AI-Driven Medicaid Cuts: What to Know and How to Prepare. Join us on Saturday, April 18th, at the Take Back Tech Conference”
Join TTJ and Upturn at the Take Back Tech Conference on Saturday, April 18, for our session on “The Impending AI-Driven Medicaid Cuts: What to Know and How to Prepare.” We’ll break down what’s coming, what’s at stake, and how you can take action.
NEW:
Microsoft Is Pausing Carbon Removal Purchases
The tech giant has been the overwhelming buyer of carbon removal technologies, accounting for 90%+ of industry volume last year. Now sources tell me it’s pausing its voluntary buying.
a @heatmap.news exclusive
heatmap.news/carbon-remov...
An AA E175 landing at DCA over Gravelly Point with a bike in the foreground on a clear blue day
"you are responsible for every possible way your words may be interpreted" is an expectation, I think, that no one would want applied to themselves, but it seems to be becoming normal on this site. internalizing this is a good way to make yourself crazy.
A choropleth map of U.S. residential electricity bills by state as of March 2026, from the MIT/Heatmap Electricity Price Hub. States are shaded from green (lowest, ~$70/month) to red (highest, ~$198/month). Texas, Alabama, and South Carolina appear among the most expensive; Colorado and surrounding Rocky Mountain states appear among the cheapest. A timeline slider spans 2020–2026. Below the map, a chart shows the national average bill oscillating between roughly $100–$200/month with strong seasonality. A summary statistic shows the national average residential electricity bill rose 28.0% from March 2021 to March 2026 (12-month trailing average).
Electricity prices are essential to the US economy. But it’s very hard to get recent, granular data on them.
We’re changing that. Today, @heatmap.news and MIT released the ELECTRICITY PRICE HUB, a new tool breaking down local power rates and bills going back to 2021. electricity.heatmap.news
picture of the artemis ii ground control room with dozens of monitors and people working their jobs
cute how the dumb betting market sites tried to pull a ‘monitoring the situation’ bar stunt and then NASA shows up and is like ‘pipe down pipsqueak, adults are working’
Concerns about the tech vendors’ authorization processes are easier to find in states like Arizona than in Oklahoma, but the basic playbook is similar throughout the six states. Doctors or other medical providers ask for prior authorization and send documentation, often through an online portal if physicians find it functioning well or by fax or other means if it is not, before they provide care to patients. Those who do not get approval initially can resubmit the request with more information. Before a medical service can be definitively denied, it must be reviewed by a human. But the AI algorithm can prevent authorization if the system believes more information is needed. In Texas, about 62 percent of requests are getting approved on physicians’ first try, federal and company officials say. Brian Covino, chief medical officer of the tech company — Cohere Health, a Boston-based company with offices in India — said that most of those that are affirmed receive a response on the same day as the request. Overall, the approval number rises to 84 percent after Cohere’s staff physicians review those that are not initially authorized, sometimes after physicians submit more information. For comparison, the Medicare Advantage option through private insurance plans such as UnitedHealthcare and Humana commonly uses prior authorization. More than 92 percent of those requests were partially or fully approved nationwide in 2024, according to the nonpartisan health information organization KFF.
"The challenges are so intense in Ohio that doctors may stop offering seniors a set of complex treatments that they say flummox the AI model, leaving older patients without that treatment option."
Doctors in Arizona, New Jersey, Ohio, Oklahoma, Texas, and Washington say that "the addition of AI-driven prior authorization means their patients are navigating a more complex and cumbersome system than they did a few months ago."
wpintelligence.washingtonpost.com/topics/2026/...
their claim is thermodynamically inane, what are we even doing here
continue to maintain that “AI policy” is a term that can mean too many things to too many people thereby making it a pretty unhelpful term. both under- and over-inclusive.
do you work on consumer protection? export controls? labor policy? data centers? military use? ???
