Monday, June 01, 2026

Should AI Nudge You or Tell You What to Do? - Stefanos Poulidis, Haosen Ge, Hamsa Bastani, and Osbert Bastani, Knowledge at Wharton

In general, AI guidance can fall into one of two categories: attention signals and action signals. Attention signals flag decisions that are important without offering a recommendation: “This is a critical decision: pay close attention.” Action signals go further and prescribe a specific action: “Here’s what you should do.” But which type of signal actually helps us make better decisions, especially when the AI is reliable and provides highly accurate advice? This question is increasingly relevant, as AI tools become better calibrated and consistently dependable. As this trend continues, we must ask: Are there costs to relying on AI too much, even when its advice is correct? We explored these questions in a study using chess — a setting where AI recommendations are trusted, accuracy is exceptionally high, and decision quality is easy to measure.

Higher education, stop policing AI. Know your students - Robert Mason, Rikard Jalkebro and Ziad Hani, University World News

The solution to AI in higher education is not more software. It is ‘knowing your student’ (KYS). The idea borrows from the banking sector’s ‘Know Your Customer’ regulatory and compliance process used to combat fraud. Banks do not solely rely on a single automated alert to determine suspicious behaviour. They build contextual understanding over time: patterns, histories, habits, inconsistencies and relationships. Universities should do the same. However, Know Your Students should not mean turning universities into compliance departments. It means using sustained teaching, feedback, mentoring and dialogue to understand how students actually learn.

Sunday, May 31, 2026

Here are states’ 3 highest priorities in developing AI policy - Alcino Donadel, University Business

States are defining what AI will look like in practice across K12 and higher education, building policy infrastructure that reflects both the technology’s reach and its risks. A new national overview from the Education Commission of the States spells out how public officials are issuing guidance, installing guardrails and coordinating across sectors to align AI use with school strategy and workforce demand. Arkansas, Illinois, Ohio and Tennessee now require public school districts and postsecondary institutions to adopt formal policies governing acceptable AI use. At the same time, at least 35 states have issued some form of guidance ranging from short advisories to full frameworks. Taken together, these efforts converge on a shared set of priorities that promote human decision-making, student AI literacy, safety and data protection.

If Canvas Goes Down Again, What’s the Contingency Plan? - Lisa Anderson and MairĂ©ad Martin, Inside Higher Ed

Faculty and administrators across the country, shaped by their experience adapting instruction during the COVID-19 pandemic, knew what to do last week. Shifting the modality of instruction is not new for us. Instructors quickly improvised alternative assignments, delayed quizzes and exams, populated offline course materials, and adjusted timelines in order to keep learning moving forward. When it came time to notify students of these adjustments, however, a more fundamental issue became apparent. Many instructors came to discover they had no reliable way to contact their students outside the learning management system itself. Some did not know how to access their course rosters outside Canvas. Others teaching large online lectures encountered institutional email delivery limits. Many had no established communication pathways beyond LMS announcements.


Saturday, May 30, 2026

Why Higher Education Needs Humanics - Michael J. Avaltroni, US News

In a world where artificial intelligence now permeates daily life and higher education, it has become essential to weave the human element throughout the delivery of instruction – particularly healthcare education.Enter humanics.The integration of humanics – often described as the study, understanding and development of key human qualities – represents a novel way to foster interdisciplinary collaboration in education, technology and the human component in an AI-driven world. It speaks to the urgent need to build healthcare teams that optimize all the advances in artificial intelligence with the humans in the middle – our students, clinicians and patients. It also speaks to the urgency to redefine higher education itself.

Grade inflation much higher in ‘AI-exposed’ degrees - Jack Groves, Times Higher Education

Drawing on publicly available data from a large research university in Texas, Igor Chirikov, a senior researcher at the University of California, Berkeley, examined the marks awarded to more than 500,000 students between 2018 and 2025. When these grade patterns were compared against syllabus data on the types of writing tasks used for assessment, it revealed the share of A grades in “AI exposed” courses rose by 13 percentage points, or 30 per cent, compared with the 2022 baseline. Overall grade point average rose by 0.12 points for “high-homework” courses in which AI could potentially complete the assessment, says the study, which was published as a working paper by Berkeley’s Center for Studies in Higher Education. Grade inflation occurred only in homework-based writing and coding tasks and was not found to the same extent in in-person examination, explains the study, which suggests the computing power of “AI [is] substituting for student effort specifically on the unsupervised assessments where instructors cannot observe the production of submitted work”.

https://www.timeshighereducation.com/news/grade-inflation-much-higher-ai-exposed-degrees-says-us-study

Friday, May 29, 2026

Maine's Public University System on verge of Closing Deal for First System Wide AI Tool - Kristian Moravec, Central Maine

Maine’s public university system plans to award its first contract for an artificial intelligence platform to ChatGPT Edu, an OpenAI chatbot tool for higher education, the system told employees and students in an email Friday. The two-year contract will cost about $1.39 million and serve the system’s estimated 25,200 students and 5,600 employees, likely starting in July, according to Ryan Low, the system’s vice chancellor for finance and strategic AI integration. OpenAI’s winning bid, which was submitted by a vendor, Carasoft, is not yet set in stone.

Can colleges still deliver in the age of AI? One Ivy League school is investing $30 million to improve career outcomes - Jessica Dickler, CNBC

College students are increasingly worried about what an AI-driven jobs apocalypse could mean for their employment prospects. To that end, many colleges and universities are racing to recalibrate.
Even at nation’s most elite schools, the focus is shifting to career readiness. Fears that artificial intelligence will upend students’ future career plans are reverberating across college campuses. “Higher education needs to do better,” said Joseph Catrino, the inaugural director of Dartmouth’s Center for Career Design. “We need to do better for our students — we need to step up and help students be prepared.” The Ivy League college recently raised $30 million in endowed funds to support internship opportunities. Now students can access up to $6,500 during any term to help finance unpaid or underpaid internships. “This allows the student to explore and engage in a field that they normally wouldn’t be able to,” Catrino said.

Thursday, May 28, 2026

Why Indiana University’s AI skills course is free - Pamela Whitten, University Businiess

Indiana University just gave away our most popular AI skills course by making it completely free and open to all, with no application or tuition required. Anyone who completes the course that we’ve come to know as GenAI 101 will earn an AI skills badge from our world-renowned Kelley School of Business at no cost.Our decision to make such a highly sought-after course available for free is rather unconventional for a major university. Tuition is one of the ways we pay the bills, yet we know that the ability to wisely work alongside artificial intelligence is too important of a skill to lock behind a paywall. When our faculty developed and launched GenAI 101 eight months ago, we could not fully predict the continuing and accelerating appetite for AI literacy among corporations, small businesses, state agencies, and universities across the country. They asked us to share it, and we have now done so by making the class freely available to anyone.


MIT president blames federal policy shifts for big drop in research on campus - Washington Post

MIT is doing less research and enrolling fewer graduate students as a result of federal actions, the university president warned Thursday. Federally funded research on campus is down more than 20 percent compared to this time last year, MIT’s president, Sally Kornbluth, told the campus community in a video message, and the number of new federal research awards is also down more than 20 percent.“That is a striking loss for one of the most influential and productive research communities in the world,“ Kornbluth said.


Wednesday, May 27, 2026

AI research papers are getting better, and it’s a big problem for scientists - Joshua Dzieza, the Verge

“It’s a huge burden on the peer-review system, which is already at the limit,” Degen said. “There’s just too many papers being published and there’s not enough peer reviewers, and if the LLMs make it so much easier to mass produce papers, then this will reach a breaking point.” Optimists about generative AI have high hopes for its ability to produce future scientific breakthroughs — accelerating discovery, eliminating most types of cancer — but the technology is currently undermining one of the pillars of scientific research, inundating editors and reviewers with an endless stream of papers. Paradoxically, the better the technology gets at producing competent papers, the worse the crisis becomes.

The AI assembly line: Strategic imperatives for CEOs - Gianmarco Cilento, Steffen Fuchs , and Varun Marya; McKinsey

Just as Ford’s production line transformed physical labor, agentic AI—systems that can act autonomously rather than just responding to prompts—is now reshaping cognitive work, including engineering design, supply chain planning, and risk assessment. (We will refer to agentic AI simply as “AI” throughout this article.) With AI, companies no longer need to depend solely on the judgment and availability of a small number of experts to make complex decisions or create sophisticated products. Instead, knowledge becomes broadly accessible to anyone with the right AI capabilities, accelerating decision-making, product customization, and other tasks once limited to experts.

Tuesday, May 26, 2026

Quantum’s bold promise: What business leaders need to know - Henning Soller and Sven Smit with Anna Heid, McKiney

For years, business leaders and corporate boards have viewed quantum computing (QC) as a threat—and for good reason: It has the potential to break today’s strongest encryptions. That moment, commonly known as Q-Day, will occur when quantum computers succeed in factoring exceptionally large numbers, undermining the math that public-key cryptography depends on. Though business leaders are keeping Q-Day top of mind, they are viewing QC through a new lens—less a threat and more an opportunity. Many are spurring their companies to experiment with QC now so that they will be ready to deploy it at scale once quantum computers become mainstream, which could happen within the next five years.

Landscape of Emerging Technologies in Higher Education: A Review - Sharin Jacob, Heather Miceli and Hannah Schneider, Digital Promise

This literature review explores the rapid integration of artificial intelligence in higher education, examining both institutional influences and instructional practices. It highlights how governance frameworks, resource allocation, and faculty attitudes shape access and responsible technology adoption. Pedagogically, the paper emphasizes the necessity of embedding AI literacy, critical evaluation, and ethical reasoning into curricula to prevent student overreliance on AI tools. Ultimately, institutions must balance innovation with accountability by carefully aligning AI tools with educational values to advance authentic learning.