At the U.S. Military Academy (USMA) in West Point, New York, where academic integrity and pedagogical rigor are foundational, initial guidance on generative AI was introduced in 2023. While it emphasized the importance of integrity and instructor-specific policies, the use of generative AI remained decentralized and varied across disciplines (Reeves, 2023). Given this context, faculty members across five academic programs initiated a collaborative, multiyear research project to track the adoption, utility, and implications of generative AI in student-driven research activities. This study aims to document and analyze the technological engagement and ethical considerations among cadets from the class of 2024 through the class of 2029.
Thursday, July 02, 2026
How Artificial Intelligence Is Changing Healthcare, Manufacturing, Recycling and Education - Tech Business News
Artificial intelligence (AI) is no longer a future-facing technology sitting inside research labs. It is now being used in doctor’s offices, classrooms, factories, recycling plants, semiconductor research facilities and government departments. The real shift is not just that AI can generate text, images or code. The bigger change is that AI systems are now being connected to daily decision-making, physical infrastructure and professional workflows. That makes the technology more useful, but also more difficult to manage. Across industries, AI is being used to detect disease, support teachers, predict machine failures, sort waste, discover new semiconductor materials, analyse risk, automate service desks and assist with policy planning. At the same time, it is raising hard questions about bias, privacy, security, accountability and whether people can understand how an AI system reached its answer.
Wednesday, July 01, 2026
The Next 5 Years: A Supersonic Tsunami - Peter H. Diamandis, Metatrends
Elon described the near future as a “supersonic tsunami”: a wave moving so fast and so large that by the time you hear it coming, it has already broken over you. The phrase stuck with me. So let me lay it out in detail, with the actual numbers, because I don’t think most people have any real sense of what the next 60 months hold. Buckle up. Start with the price of intelligence, because it is collapsing faster than anything in the history of technology. According to the Stanford AI Index, the cost of tokens dropped 280x collapse in 24 months. For frontier models, the price has been dropping about 10x every single year, from $20 to about $0.40 per million tokens. Not 10% cheaper. Ten times cheaper, annually.
Re-educating graduates for the competitive job market - Amber Wang, University World News
As another record number of university graduates enter China’s job market this month, authorities are increasingly encouraging both students and unemployed graduates to be “re-educated” through vocational and skills-based training. Across China, cities and provinces are offering “technician class” programmes aimed at improving employment outcomes among young people. With strong backing from local governments, initiatives typically combine vocational education with internships and job placement opportunities in strategic industries. Local authorities in Beijing, Guangdong, Zhejiang and Anhui, together with vocational institutions, have recently launched a range of full-time training programmes as well as shorter subsidised skills courses.
Tuesday, June 30, 2026
How universities are preparing students for an AI-powered future - Marta McAlister, Google Keyword Blog
Virginia Tech is providing access to AI tools — such as Gemini for Education and Notebook LM — which their IT Security Office approved for use with high-risk data to help ensure institutional information remains protected. UC Riverside introduced a secure campus AI assistant called The Grove, built on Gemini Enterprise. UC Irvine approved Google Workspace, Google Cloud Platform and Gemini for Education for secure use with select sensitive institutional data and then put those tools to work through ZotGPT, a free AI platform featuring Gemini among its models, available to the entire campus community.
Americans and AI 2026: Chatbots, Smart Devices and Views on Impact - Jeffrey Gottfried et al, Pew Research
About half of U.S. adults now report using AI chatbots, up substantially from the summer of 2024.1 This includes roughly one-in-four who use these tools on daily basis.
Some people are bringing AI into their homes. About a third of Americans say they have a smart speaker, and smaller shares have a doorbell or thermostat with AI features.
But Americans —including younger adults— are deeply skeptical of AI. More adults predict that AI will have a negative rather than positive impact on them and on society. And majorities think AI is advancing too quickly and will put their personal information at risk.
Monday, June 29, 2026
Collective action, collective success: A CEO’s role in transformations - Kurt Strovink, Mathew Lee, Meagan Hill, and Michael BucyMcKinsey - McKinsey
Successful transformations require everyone in the organization to move in the same direction. That can only happen when CEOs directly address collective-action problems. Beyond managing the challenges that organizations face every day, most leaders strive to be transformative—to find new ways to deliver substantial impact and leave the company stronger than they found it. Yet only 30 percent of transformations deliver the value their leaders expect. There are many possible explanations for this statistic, among them unexpected market conditions, tough new competitors, technological disruptions, and a volatile geopolitical landscape. Such external factors are easy to understand. Less appreciated are the internal dynamics in organizations that can thwart even the most ambitious and well-intentioned leaders.
Medical students’ perceptions of learning modalities: development and psychometric validation of the e-learning and face-to-face learning experience questionnaire - Zahra Karimian, et al; Nature
The analysis revealed six primary factors influencing student learning experiences, including Peer Interaction, Teacher-Student Interaction, Examination and Assessment methods, Emotional Comfort, Content Quality, and Assignments. The highest factor loading was observed for peer interaction and collaborative learning.... The findings suggest that effective educational practices must integrate diverse teaching methods and assessment strategies to accommodate various learning styles. Both F2F and online environments offer unique advantages that can be leveraged through a blended approach. The study underscores the importance of creating inclusive and supportive learning environments that prioritize student comfort and engagement, ultimately enhancing educational outcomes.
Sunday, June 28, 2026
Risk, Retention, and the Algorithmic Institution: Artificial Intelligence as a Policy Response to Higher Education in Crisis - McConvey, Kelly;Ghai, Maya;Lee, Rosa;Guha, Shion; Canadian Public Policy, 2026, v. 52
This article examines the adoption of artificial intelligence (AI) systems in Ontario’s post-secondary education sector as a response to financial pressures stemming from federal immigration reforms and provincial funding constraints. It highlights how AI technologies—such as predictive analytics and early warning systems—are used for student retention, resource allocation, and program planning, but also raise significant concerns about bias, surveillance, and opacity, particularly affecting marginalized student populations. The analysis underscores the inadequacy of existing Canadian privacy laws and the failure of federal AI legislation (notably the Artificial Intelligence and Data Act, AIDA) to provide comprehensive governance, calling instead for sector-specific regulation, human oversight, and equity-centered design inspired by international models like the European Union’s AI Act. The article concludes with policy recommendations for institutional, provincial, and federal levels to ensure AI systems in higher education align with democratic values of fairness, transparency, and accountability while mitigating risks of reinforcing inequities.
Authors, reviewers and editors should not be left to endure AI anxiety alone - Mai Zaki, Times Higher Ed
The arrival of generative artificial intelligence in academic research has produced something more disorienting than a simple ethical dilemma. It has created a situation in which every participant in scholarly publishing is being asked to make judgements that the system itself has not yet learned how to make. Authors are told to be transparent, reviewers to be vigilant, editors to protect integrity. But the result is not a new culture of clarity. It is a culture of suspicion. I experience this problem first as an author. Like many researchers, I do not approach AI as either a miracle or a threat. I approach it as a tool, whose boundaries remain strangely unclear. It can help with phrasing, structure, summaries, coding, translation, visualisation, brainstorming and literature mapping. Yet each of these uses occupies a different ethical position. Asking AI to polish a paragraph is not the same as asking it to generate an argument. Using it to produce a chart is not the same as using it to interpret data. Asking it to suggest possible lines of enquiry is not the same as outsourcing the intellectual work of the article.
Saturday, June 27, 2026
Two Professors, Two Approaches to AI and Assignment Design - Luke Mello, Faculty Focus
All this considered, a question has arisen from teachers of every discipline: how do we develop assignments that facilitate learning with AI constantly present? This question does not have a single correct answer. Different instructors have different opinions on the role AI should play in education due to their discipline or personal teaching philosophy. I interviewed two professors of electrical engineering at my graduate university to get their points of view in the context of STEM classes. They were both professors that taught classes in my electrical and computer engineering undergraduate degree. I knew beforehand that these professors had differing views on the role of AI in their courses. The following interviews seek to show that even in the same disciplines, educators can have different approaches to their course and assignment design when it comes to AI
Opinion: Generating Some AI Clarity for Higher Ed and Beyond - Jim A. Jorstad, GovTech
The pace of development and proliferation of artificial intelligence tools - generative, agentic, physical - can be hard to follow, but IT leaders must do their best to stay apprised of potential innovations and risks. Some might say these are the best of times for artificial intelligence. Others might say these are the worst of times, if they're looking for a clearer understanding of the many forms of AI, its definitions and applications. Many IT professionals engaged in developing AI have a deeper technical understanding. However, there are faculty, staff, administrators and students who don’t have a clear understanding of the technology and how it may transform their education and future lives. Let me try to provide some basic understanding of the current AI terminology and offer some insights into its many applications in a variety of disciplines and situations.
Friday, June 26, 2026
Cal State faculty push to prevent AI tools from replacing them as schools and staff experiment - Mikhail Zinshteyn, Cal Matters
The nation’s largest public four-year university may soon be barred from replacing faculty with generative AI as a bill backed by a union of professors comes nearer to reaching the governor’s desk. Few examples exist of the California State University’s attempting to replace faculty labor with generative AI tools, but the faculty union wants to prevent such efforts from ever getting off the ground. The bill so far has garnered no opposition from lawmakers and may clear the Legislature as soon as Monday. “We do have some cases of the potential replacement of faculty work by AI, and so I personally am very concerned about closing the barn door after the horse has already gotten out,” said Kevin Wehr, a professor of sociology at Sacramento State, which is part of the Cal State system. Wehr leads the bargaining team for the faculty union, the California Faculty Association.
The AI-centric imperative: Navigating the next software frontier - McKinsey
The software industry is entering a new era—and it may yet prove even more disruptive than the software-as-a-service (SaaS) revolution that preceded it. The emergence of gen AI and, more recently, agentic AI is not just another technology wave; it is a foundational shift redefining what software is, who builds it, who uses it, and how companies are organized and operate. Gen AI alone is projected to unlock $4.4 trillion or more in annual value across the global economy, with software companies poised to capture 10 to 15 percent of that total—and agentic AI may well accelerate the speed at which this value is realized. But capturing it is far from guaranteed, and incumbent companies will face heightened competitive intensity and complex new challenges.
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