Across the revised thematic structure, feasibility was constructed through four interrelated domains: conditional pedagogical feasibility, epistemic and ethical risk, human mediation and institutional governance, and democratic co-construction of multicultural learning. Educational science experts regard AI-mediated multicultural curricula as possible but structurally fragile. Feasibility depends on value-led curriculum design, robust governance, and critical human mediation that aligns AI with the transformative ambitions of multicultural education. More specifically, feasibility depends on the alignment of explicit multicultural curricular intent, recognition of epistemic and ethical risk, strong institutional and pedagogical mediation, and students’ active participation in critical inquiry.
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.
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.
White House Directs Banks to Use Anthropic Mythos - Let's Data Science
The White House has encouraged major U.S. banks to test Anthropic's Claude Mythos model to identify security gaps. Several large banks have begun in-house evaluations after a Treasury and Federal Reserve meeting with Wall Street executives that emphasized using the model to uncover vulnerabilities. The administration frames the engagement as part of an ongoing AI security taskforce, and Anthropic has opened an early-access partner program for Claude Mythos alongside its Claude Managed Agents rollout. The guidance positions Claude Mythos explicitly for defensive cybersecurity work, including red teaming and proactive vulnerability discovery, and signals closer public-private coordination on AI risk remediation for critical financial infrastructure.
Tuesday, April 28, 2026
The Quiet Revolution: How Generative Artificial Intelligence is Redefining Higher Education in Mexico - Noah Conway, Veritas
Inteligencia Artificial Generativa (IAG) has made a promise of the future to become the motor director of learning in Mexico. According to the latest report from the Secretaría de Educación Pública (SEP), the impact is huge: 80% of university students use these tools to write texts and improve their academic results. This phenomenon, revealed there “National Encuesta sober use and perception of sober generative artificial intelligence in higher education”marks the point of no return in the national education system. Even beyond thoughts and graphics, AI occupies an unexpected space: mental health. SEP owner Mario Delgado Carrillo noted that practitioners like ChatGPT have become “the great psychologist of our time.” The data highlights this: 9% of students turn to AI for advice on anxiety, stress or depression, opening a new debate about emotional support in the digital age.
Evaluating large language models for AI-assisted grading: a framework and case study in higher education - Yago Saez, Luis Mario Garcia, Asuncion Mochon & Pedro Isasi, Nature
This article presents an empirical evaluation of six state-of-the-art large language models for grading student assignments in a university-level course on data analytics and machine learning. The study compares the ability of the models to generate grades and feedback with that of human instructors, using statistical and semantic measures for evaluation. The results show that DeepSeek-R1 provided the closest alignment with human evaluations in both grading accuracy and feedback quality. Beyond this case study, the article contributes a replicable framework for systematically benchmarking LLMs in higher education assessment, specifying model selection, prompt design, evaluation measures, and cost analysis. The proposed framework ensures continued relevance as new models emerge, providing educators and researchers with a transferable methodology to evaluate AI-assisted grading in higher education.
Monday, April 27, 2026
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.
OpenAI’s warning: Washington isn’t ready for what’s coming - Axios, YouTube
In this interview, OpenAI CEO Sam Altman emphasizes a growing sense of urgency for society and government to prepare for "super intelligence." He suggests that the next generation of AI models will represent a significant leap forward, moving beyond small tasks to enabling career-defining scientific discoveries and dramatic productivity gains where a single individual could perform the work of an entire team [04:43]. Altman highlights critical risks that need immediate attention, particularly in the realms of cybersecurity and biosecurity, warning that the threat of misuse by bad actors is no longer a theoretical concern [06:30]. Altman also outlines a vision for AI as a "utility," much like electricity, where intelligence is ubiquitous, personalized, and integrated into almost every digital interaction [19:55]. While acknowledging the potential for massive economic shifts—such as a concentration of leverage in capital rather than labor—he maintains that the core of human fulfillment and connection will remain unchanged [11:53]. He advocates for a deep partnership between AI companies and the government to ensure the technology is developed in alignment with democratic values, stressing that the window for debating these societal transformations is rapidly closing [08:41]. [Gemini 3 Fast provided assistance with the summarizing of this video]
Sunday, April 26, 2026
Higher Education Faces Demographic Cliff, AI Impact - National Today
The future of higher education in America is at a crossroads, as institutions navigate a complex landscape of declining enrollment, political influences, and the growing impact of artificial intelligence. The so-called "demographic cliff" - a sustained drop in college enrollment driven by declining birth rates - poses financial and academic challenges, particularly for regions like New England with dense ecosystems of schools. Colleges are rethinking academic programs, recruitment strategies, and alignment with the job market to address these pressures, while also grappling with the lack of authoritative data on return on investment and the influence of AI on the labor market. The changes facing higher education will have far-reaching implications for students, families, and the broader economy. As institutions adapt to declining enrollment, political decisions, and technological disruption, the future of learning and career preparation hangs in the balance.
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.
Saturday, April 25, 2026
Claude finds a 27-year-old bug - Arturo Ferreira & Liam Lawson, The AI Report
The initiative is built around Claude Mythos Preview, an unreleased frontier model that has already found thousands of high-severity zero-day vulnerabilities, including some in every major operating system and web browser. Mythos Preview identified a 27-year-old vulnerability in OpenBSD, a 16-year-old flaw in FFmpeg, and autonomously chained together multiple Linux kernel vulnerabilities to gain full system control. Anthropic is committing $100M in usage credits for defensive security work across partners and additional organizations, plus $4M in donations to open-source security organizations like the Linux Foundation.
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.
Friday, April 24, 2026
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]
Anthropic’s Mythos Will Force a Cybersecurity Reckoning—Just Not the One You Think - Lily Hay Newman, Wired
The new AI model is being heralded—and feared—as a hacker’s superweapon. Experts say its arrival is a wake-up call for developers who have long made security an afterthought. Anthropic said this week that the debut of its new Claude Mythos Preview model marks a critical juncture in the evolution of cybersecurity, representing an unprecedented existential threat to existing software defense strategies. So, is it more AI hype—or a true turning point? "All software will have to be rewritten" someone said somewhere about this topic. Security aside, could AI rewrite all our operating systems so that they once again become simple, more easily configurable and fixable? My internal frustration list of annoying, decades-old interface bugs in MacOS & iOS and their downstream apps that have never been fixed decades keeps on growing.
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