YouTube is expanding its new “likeness detection” technology, which identifies AI-generated content, such as deepfakes, to people within the entertainment industry, the company announced on Tuesday. The technology works similarly to YouTube’s existing Content ID system, which detects copyright-protected material in users’ uploaded videos, allowing rights owners to request removal or share in the video’s revenue. Likeness detection does the same, but for simulated faces. The feature is meant to help protect creators and other public figures from having their identities used without their permission — a common problem for celebrities who find their likenesses have been used in scam advertisements.
Friday, May 1, 2026
College Students Are More Polarized Than Ever. Can AI Help? - Kathryn Palmer, Inside Higher Ed
Over the past few years, higher education institutions have adopted emerging artificial intelligence tools in an effort to enhance nearly every aspect of campus life—not just teaching and learning but also admissions, alumni networks, fundraising and advising. Now some are even experimenting with AI’s ability to advance one of the hottest trends on college campuses: fostering constructive dialogue among students, who are more divided over politics now than at any point in the past 40 years. To help bridge those divides, colleges are increasingly partnering with organizations aimed at promoting civil dialogue, including Braver Angels, BridgeUSA, the Institute for Citizens and Scholars, and the Constructive Dialogue Institute. And lately, AI is becoming part of the conversation.
This is the fastest-growing job for young workers, LinkedIn says - Mary Cunningham, CBS News
As the rise of artificial intelligence stirs anxiety over the technology taking people's jobs, AI is also opening pathways to new careers, according to LinkedIn. The fastest-growing job title for young workers on the networking platform is "AI engineer," a recent report from the company found. LinkedIn analyzed millions of member profiles to determine the number of entry-level workers hired over the last three years and the roles they were hired to fill. "It's measuring momentum for these job titles," said Kory Kantenga, the head of economics, Americas, at LinkedIn. "Companies are just gorging on AI talent."
Thursday, April 30, 2026
AI fears drive some young adults to grad school — ‘people shelter in higher education,’ expert says - Jessica Dickler, CNBC
Typically, enrollment in graduate school increases during recessions as workers seek to advance or to move to another industry with better career prospects or pay. Today, more people in a survey said they plan to go back to school within a year, even though the economy is doing well. Experts say young adults are exploring this option largely because they are worried about their job prospects despite the economy.
Learn essential AI skills - Google Skills Lab
We're building AI skills programs, trainings, and tools to address the specific needs of workers everywhere. Discover Google's courses and resources designed to help you succeed in an AI-driven world. Check out this free resource site from Google.
Students are speeding through their online degrees in weeks, alarming educators - Todd Wallack, Washington Post
It takes most college students at least four years to earn a bachelor’s degree. Christie Williams finished in three months. The North Carolina human resources executive spent two months racking up credits through web tutorials after work in 2024, then raced through 11 online classes at the University of Maine at Presque Isle in four weeks. Later that year, she went back to earn her master’s — in just five weeks. The two degrees cost a total of just over $4,000. Many U.S. schools have been experimenting with ways to speed up traditional college programs to reduce the burgeoning cost and help students move into the workforce faster. Some offer three-year bachelor’s programs, reducing the number of credits needed for a diploma by one quarter. Many more allow students to enroll in college classes while still in high school.But the breakneck pace of the fastest online programs concerns some academics, who say there is a big difference in what students can learn in weeks or months compared with three or more years.
Wednesday, April 29, 2026
Is Your AI Ethical, Human-Centered and Pro-Social? - Ray Schroeder, Inside Higher Ed
Many of us utilize AI daily in our higher education work, yet we may not have assessed the ethical and human-centered nature of the tool we have selected and trained through our prompts. AI tools are no longer a relatively simple search engine that is driven by marketing metrics to help us conduct our research. Rather, with AI we are using more sophisticated tools that conduct research and seek answers to our prompting while making source-selection decisions, contextual settings and semantic subtleties that impact the values expressed in the results. Before we look at the default values and orientations inherent in some of the leading AI models, let me remind you that in crafting your prompt, you can encourage the tool to put an emphasis on generating responses that include orientations and perspectives that address ethical considerations. Your prompt can direct the model to provide results that explore, highlight or emphasize pro-social or human-centered solutions and examples.
Rewired 2.0: How leading companies are (still) winning with AI - McKinsey
Companies that successfully transform with AI can boost their EBITDA by roughly 20 percent, according to Rewired: How Leading Companies Win with Technology and AI. In this newly released second edition of the Rewired bestseller, five McKinsey leaders draw on more than 30 case studies to show how organizations turn AI ambition into measurable value. As the pace of technology accelerates—and expectations rise—the book zeroes in on what it takes to truly “rewire” a company today: aligning leadership, redesigning operating models, and building the capabilities that turn AI into sustained advantage. Explore the latest interview with three of the authors, McKinsey Senior Partners Eric Lamarre, Kate Smaje, and Robert Levin, and the below insights to learn how leading companies are winning with AI.
Provost's office funds 24 transformative initiatives - Rob Schweers, Iowa State University
The office of the senior vice president and provost has announced $2.4 million in funding across two years for 24 transformative initiatives to support new academic programs, student success and career readiness, and build additional capacity in artificial intelligence (AI). Senior vice president and provost Jason Keith announced the one-time funding initiative in December, and proposals were due in early February. "We were very impressed with both the quality and innovation of the proposals, as well as their connection to Iowa State's strategic plan," Keith said. "At their core, the projects create new opportunities for students, faculty, staff and Iowans; support future enrollment growth; and help navigate changing environments for research funding and community engagement, all while supporting the university's land-grant mission." Proposals were reviewed and ranked by unit leaders (deans, directors, vice presidents) and forwarded to the provost's office for final consideration. Projects with common themes, such as AI, micro-credentials and custom education, will coordinate efforts and meet regularly to share progress and challenges, and help ensure their work can be applied broadly across the university.
Provost's office funds 24 transformative initiatives - Rob Schweers, Iowa State University
Tuesday, April 28, 2026
New microcredentials launched to meet workforce and adult learner needs - University of Southern Indiana
The University of Southern Indiana has launched a new slate of undergraduate and graduate microcredential programs, expanding flexible, short‑term learning options for working professionals, adult learners and students seeking targeted skill development. Introduced in fall 2025 and expanding in 2026, USI’s microcredentials align with the University’s core value of transformative learning and reflect a growing demand for accessible, career‑focused education delivered in an online format. The microcredentials offer multiple entry points throughout the year, several of which will begin for the first time this summer and fall. Additional offerings are still in planning phases. “We are honored to offer these new short-term academic credentials to current, past and future USI students to support their career advancement,” said Dr. Brian Crose, Assistant Dean of Online and Adult Learning at USI. “Our focus is to provide knowledge and skills needed in the workplace that are attainable within only a few months, rather than years. This ties into our vision for boldly transforming the lives of our students.”
As AI pushes students to reconsider majors, universities struggle to adapt - Lexi Lonas Cochran, the Hill
A recent poll shows AI’s increasing role in how students decide on college majors, creating a rapidly developing situation for universities that are still struggling to determine how the technology will shape higher education. The Lumina Foundation-Gallup 2026 State of Higher Education survey found 47 percent of currently enrolled college students have thought about switching majors “a great deal” or a “fair amount” over AI concerns. Forty percent of the AI job losses will occur in Texas, California, New York, Florida and Illinois, the researchers predict. And young people are predicted to take the biggest hits from AI since experts say it could largely take over entry level work.
Nation’s first Online J.D. Program graduates share special camaraderie at St. Mary’s Law - Nathaniel Miller, St. Mary's University
Together, the cohort known as Section O is the inaugural group for the law school’s Online J.D. Program. When it launched in Fall 2022, it was the first fully online J.D. program accredited by the American Bar Association. Now, additional law schools have followed the St. Mary’s Law example with their own online programs. Created to give non-traditional students an opportunity to obtain a law degree outside a classroom setting in a part-time program, Section O was filled with myriad students, many of whom worked full time and had families.Now, the School of Law has three more cohorts, each starting in the fall, and capped at 25 students. “St. Mary’s made it possible for Section O to pursue a legal education without stepping away from service,” said Martinez, Texas state representative for District 39, representing Hidalgo County. “The program demanded discipline and focus and is a proud reminder that, with the right structure, working professionals can achieve excellence while continuing to serve their communities.”
Monday, April 27, 2026
How a master's in AI can prepare you to lead in business - Chloë Lane, GMAC
In our most recent GMAC Corporate Recruiters Survey Report, ‘skills in AI tools’ rose significantly in importance year-over-year—reflecting the growing demand for this proficiency. One effective way to build these desirable skills is by studying a master’s in AI—a specialist master’s degree that bridges the gap between technical expertise and business application. One such program is the Master of Artificial Intelligence in Business (MAIB), recently launched by HKU Business School at The University of Hong Kong. This program is designed to equip early- to mid-career professionals with the skills they need to become AI-confident business leaders. “Future business leaders will operate in an environment where AI is embedded into almost every function, from customer engagement and pricing to supply chains, risk management, and HR,” says Professor Michael C. L. Chau, program director of the MAIB at HKU Business School.
We have months left... in the Wake of Mythos and Glasswing Response - Wes Roth, YouTube
The emergence of Anthropic’s Mythos model marks a significant shift in the AI landscape, particularly regarding cybersecurity. As Wes Roth details, the model possesses an "emergent" ability to autonomously identify and exploit zero-day vulnerabilities in codebases that were previously thought to be secure. This creates a dangerous asymmetry: while AI can now find flaws at a massive scale for a fraction of the cost—roughly $50 in compute for a complex exploit—our human-led capacity to patch and harden these systems has not increased at the same velocity. The resulting "break stuff" era suggests that the traditional equilibrium of the cybersecurity arms race has been disrupted, leaving global digital infrastructure potentially vulnerable. In response to these risks, the primary recommendation is a shift toward rigorous digital hygiene and "hardened" security measures. With the potential for AI-driven exploits to compromise entire operating systems or cloud services, users are encouraged to maintain air-gapped, physical backups of their most critical data and transition to hardware-based security keys. [Summary provided in part by Gemini 3 Fast]
Students are becoming AI fluent. Universities aren’t. - James L. Norrie, University Business
Across higher education, artificial intelligence is too often being governed as though it were primarily an academic integrity issue. It is clearly not just that. AI is already reshaping how universities teach, advise, recruit, admit, communicate, assess risk, and make decisions. Yet many institutions continue to approach it through fragmented policies, uneven faculty guidance, and conversations narrowly focused on misuse in student work. That is a strategic gap our industry will soon regret. AI is rapidly moving beyond the classroom and into the core of institutional operations. This important shift demands attention not only from faculty, but from within senior leadership and governing boards. Universities that fail to establish a coherent, enterprise-wide AI strategy, supported by appropriate technical architecture, risk more than policy inconsistency.
Friday, April 24, 2026
Economists Starting to Admit They May Have Been Wrong About AI Never Replacing Human Jobs: They're taking it seriously - Joe Wilkins, Futurism
As a sweeping economics paper by researchers at the Federal Reserve Bank of Chicago, Forecasting Research Institute (FRI), and numerous top universities found, that attitude may be shifting. As time goes on, top economic experts are increasingly factoring extreme AI disruption into their models. Yet acknowledging a possibility and accepting its inevitable are two very different things — and as the complicated range of sentiments makes clear, an AI jobs apocalypse is still far from certain. The study is a tour-de-force of economic forecasting that surveyed 69 economists, 52 AI specialists, and 38 “superforecasters,” a term for consistently accurate analysts who play the role of “Dune’s” Mentats in the economics world. It found that all three groups expect “significant” progress on AI in the years to come. Forebodingly, the groups all agreed that, as a rule, faster AI progress means lower employment rates overall. On average, economists assigned a 47 percent probability of “moderate“ AI progress by 2030, defined as systems that can operate semi-autonomous research labs, put out high-quality novels, and complete complex projects with oversight.
The AI Transformation Manifesto - McKinsey
The companies that are truly innovating with AI are doing something very different from their peers: They are conceptualizing and developing AI capabilities that reshape their products, services, core business processes, and organizational systems. These leading companies—many profiled in the second edition of our seminal book, Rewired: How Leading Companies Win with Technology and AI—are already realizing game-changing results and creating competitive advantage. Their advantage, however, does not come from the tech they use; those tools are broadly available. Their advantage comes from how—and how fast—they apply technology to solving real business problems at scale. We summarize our perspective on how they do it in this AI transformation manifesto.
Central Illinois union painter shares the value of apprenticeships in a statewide professional development program - Addy Carnahan, Lauren Warnecke, WGLT NPRIllinois
Jalissa Jones, also from ISU's Center for Specialized Professional Support, said people tend to think of apprenticeships being exclusively related to trades, but that's not always the case. “Another really vital part of this program is the idea of changing people's minds about what apprenticeships and what apprentices look like,” she said. “It can be in medical field. It could be in cybersecurity or insurance. There's a lot of insurance apprenticeships, which is not something I knew before I started working at this job.…I think that is the forward face of apprenticeship.”
Thursday, April 23, 2026
Is Your AI System Ethical? Try This Assessment - Cornelia C. Walther, Knowledge at Wharton
For the better part of a decade, organizations have been deploying artificial intelligence at scale while measuring it almost exclusively through the lens of efficiency gains, cost reductions, and revenue lift. The instruments are precise. The picture they produce is radically incomplete. Amid the pervasiveness of AI, this reality patchwork is now amplified. Existing dashboards do not capture whether an AI system is fair, whether it is eroding or building trust, whether it is making the people who use it more capable or quietly deskilling them, and whether its environmental footprint is accounted for or simply ignored. The gap between what we measure and what we should care about is not a technical failure. It is a values failure dressed up as a metrics problem. The Prosocial AI Index proposes a practical answer to that failure. It gives executives, technologists, and governance teams a shared vocabulary and a structured scorecard for AI that is genuinely good — not just profitable in the short term, but durable, trustworthy, and aligned with the values an organization actually claims to hold.
Author Talks: Rewiring to outcompete with AI - McKinsey
In this edition of Author Talks, McKinsey Global Publishing’s Barr Seitz speaks with McKinsey Senior Partners Kate Smaje and Robert Levin, and Eric Lamarre, McKinsey alumnus and emeritus adviser, about the second edition of Rewired (Rewired: How Leading Companies Win with Technology and AI, Wiley, April 2026). They discuss what has changed over the past few years, what it means to build organizational speed, and why the most important transformations are ultimately about people. An edited version of the conversation follows. Stay tuned for additional interviews with Rewired coauthors and McKinsey Senior Partners Alex Singla and Alexander Sukharevsky on leadership’s critical role in AI transformations.
Will LLMs Replace Coders? Not Entirely - Seb Murray, Knowledge at Wharton
“It was very clear that we will never ever write code by hand again.” That comment, made recently by Dropbox’s former chief technology officer Aditya Agarwal, reflects a growing belief that generative AI is poised to displace swathes of white-collar workers — starting, perhaps, with software developers. But research by Wharton professor of operations, information and decisions Neha Sharma found that many of the routine coding questions that developers once posted on popular online forum Stack Overflow appear to have moved to AI tools, while the more novel problems still require human expertise.
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