Friday, May 01, 2026
This is the fastest-growing job for young workers, LinkedIn says - Mary Cunningham, CBS News
US security agency is using Anthropic's Mythos despite blacklist, Axios reports - Reuters
Thursday, April 30, 2026
Feasibility of implementing a multicultural curriculum through artificial intelligence: perspectives of educational science experts - Huijuan Qin & Zijian Zhou, Nature
AI fears drive some young adults to grad school — ‘people shelter in higher education,’ expert says - Jessica Dickler, CNBC
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
Tuesday, April 28, 2026
The Quiet Revolution: How Generative Artificial Intelligence is Redefining Higher Education in Mexico - Noah Conway, Veritas
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
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
Saturday, April 25, 2026
Claude finds a 27-year-old bug - Arturo Ferreira & Liam Lawson, The AI Report
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.