”Why Even Basic A.I. Use Is So Bad for Students” By Anastasia Berg, 29 Oct. 2025.https://www.nytimes.com/2025/10/29/opinion/ai-students-thinking-school-reading.html

This article is stating that basically students development of cognitively language and linguistics Are slowly going down because of how much they are using AI. One reason for this is that people are not built to know language and how to use it, but they can learn by doing best practices. However, because of the use of AI, Their abilities are decreasing because they are not actually learning or practicing ways they can write. This is changing the capability of cognitively thinking, and developing.

One of the reason why it is harder in a higher education is because the fact that people are now using tech and the resources In their technology so that they can submit work that is asked of teachers. I do think the college students or a higher ad has the ability to understand the will of doing so so that they can collectively learning and think, but I don’t know if teachers have the ability to learn what it was like to be in a classroom and use Piaget skills in the classroom for students.

”Students Are Skipping the Hardest Part of Growing Up” by Clay Shirky, 30, Jan. 2026. https://www.nytimes.com/2026/01/30/opinion/ai-social-skills-relationships.html

The article discusses how AI is reducing students’ cognitive offloading and changing how they think and learn. We are also seeing how it is affecting emotional and cognitive ability.

The claim that is being made throughout, the article is that although we are using AI, it’s becoming a trustworthy source for emotional support, or when students lack social skills and also have social anxiety. And because of that it is causing threats on human relationships, and ability to connect. Which affects the emotional offloading that young adolescents and others need to critical think when they’re using AI as emotional support.

Overall , based of the article, I feel that we need to focus on what is happening with the generational gap and why individuals that are young adolescent field. They are more connected to understand and relate to AI for emotional support, then others around them..

”Adapting to a New World: Teachers on How A.I. Is Reshaping the Classroom” The Learning Network, 26, February 2026. https://www.nytimes.com/2026/02/26/learning/teachers-on-how-ai-is-reshaping-the-classroom.html

The overall purpose of the article is to talk about the experiences of teachers and students in certain schools and what they believe AI has enforced upon classrooms and has prevented in the classrooms. I think it’s important to see more prominent experiences in what people actually believe in because AI is never going away, so how do teachers enforce that in the classroom and use it to their benefit?

One teacher talks about how they feel that AI is A good change for students because of the fact that Educational systems have prevented students to build off of curiosity where AI can help with curiosity by being asked questions and have acknowledge to help students learn.

Another teacher talks about how a student is using Snapchat AI to help with their homework and how they were also experimenting with Their Snapchat AI so they can see if the results for assignments from their colleagues were accurate.

Overall , from reading what teachers had to say through their experiences and opinions about AI in the use of the classroom, I think the most of them feel that the expectations and goals that they have for the students if they want them to learn and engage in The information that they are moving so that it’s not being taken away by what I could know and be done for students.

“NFL Expands Micro-Betting with Genius Sports, Experts Warn of Addiction.” Edited by Vlada Didenko, Mezha, Bukvy, 19 Mar. 2026, mezha.net/eng/bukvy/nfl_expands_micro-betting/.

*Note: this article acts as a follow-up piece to a news story originally published by CNN, the original CNN article is now locked under a membership paywall, so I cited this article as a free alternative. The organization behind this specific article, Bukvy, is currently based out of Ukraine. Many members of their writing staff work anonymously.

Summary: NFL has recently partnered with a tech start up company called Genius Sports who are seeking to create a digital program called BetVision. This program uses AI to track individual players as they make plays around the field allowing betting spectators to quickly input small bets on well-made individual plays. This tactic being coined as “micro-betting.” Micro-betting with AI systems is not new to the sports-world, as entire sportsbook rooms of AI assisted gameplay screens have been popping up in hotels and casinos across the country in recent years. However, this partnership between the NFL and Genius Sports sets a precedent of sportsbook style micro-betting potentially becoming an integrated part into official NFL game viewing. The Mezha article goes on to cite from medical experts how this integration could pose a danger to the American public by increasing risks of gambling addiction.

Why this matters: As seen through tactics like micro-betting, tech companies can use AI to take manipulative business strategies like gambling, and be able to conduct them at an even more insidious and wide-spread level than previously seen. Based on the article, the NFL is likely going ahead with their partnership with Genius Sports- despite even the controversy of legitimizing a method of gambling, because of a record total thirty-billion-dollar profit from last year’s football season just from bets alone. Additionally, because the NFL is the most watched sports entertainment in America, their partnership is incredibly dangerous to the entertainment industry broadly as it may encourage other media outlets to embrace AI in a similarly exploitative way.

Associated Press. “White House Releases AI Policy Framework for Congress, With Six Guiding Principles.”AP News, 20 Mar. 2026, https://www.apnews.com/article/white-house-donald-trump-artificial-intelligence-479eb3d0a50fe7237678a9bfb146ac7a

The White House has released a broad set of policy recommendations to guide the U.S. Congress in regulating AI at the federal level. The framework urges lawmakers to adopt consistent nationwide standards instead of allowing different state governments to pass a patchwork of rules that might hinder growth. It suggests principles covering areas such as child protection, intellectual property rights, free speech, AI education, and preventing overly burdensome regulations. This move builds on earlier actions by the Trump administration to centralize AI policy and reduce the influence of individual state laws.

National AI policy is a big deal because AI affects jobs, privacy, safety, and even how news is generated. When the White House pushes for a single set of rules instead of letting each state make its own, it could mean fewer obstacles for companies developing AI. This sparks debates about whether those standards do enough to protect people. For example, balancing innovation with safeguards like child protection and transparency is tougher than it sounds, and lawmakers are already split on how strict regulations should be. Because AI touches so many sectors, what Congress does could shape the technology’s future for years.

Desouza, Kevin C. “Analyzing the Passage of State-Level AI Bills.” Brookings, 14 Jan. 2026, www.brookings.edu/articles/analyzing-the-passage-of-state-level-ai-bills/.

Summary: This article examines how legislation at State level governments are passing or rejecting AI bill proposals based on a multitude of considered factors; representative and State community political leanings, business sector regulation, clashing ideology between state institutions, as a few noteworthy examples. The results of the study indicate that richer and more educated states have more failures in AI regulation bills passing mainly because of legislative congestion, (there are more bills being proposed than ability to consider and pass them) While States with stronger business networking and less poverty have fewer failed AI bill proposals.

Why this is important: This kind of data is important to analyze because AI regulation is a proposed solution many are considering for some of the problems caused by AI usage or proliferation, having an understanding of what State governments are currently doing about AI and why gives a more nuanced perspective on what is being considered more in regulation and where.

Walker, Carla, and Ian Goldsmith. “From Energy Use to Air Quality, the Many Ways Data Centers Affect US Communities.” World Resources Institute, 17 Feb. 2026, www.wri.org/insights/us-data-center-growth-impacts.

Summary: This article further contextualizes the current data center boom in the US and the economic and political reasoning for this rapid development, as well as covering in-depth potential impacts of the building of these data centers for nearby local communities such as air, water, and noise pollution, and how States and organizations involved with construction and development plans have been working to find solutions to these issues.

Why this matters: While previous articles posted to this site offer information on data center development in Michigan, this article offers a wider picture of the US as a whole. Giving broader context to the issue country wide, additionally, the article goes further in detail on the social and environmental impacts of these new data center projects on surrounding communities, as well as potential solutions.

“Meta to Cut Back on Third‑Party Vendors in Favor of AI for Content Enforcement.” CNBC, 19 Mar. 2026, https://www.cnbc.com/2026/03/19/meta-cut-back-third-party-vendors-favor-of-ai-for-content-enforcement.html.

Meta Platforms Inc. has announced plans to reduce its reliance on external third‑party vendors and human contractors who have traditionally helped moderate posts on Facebook and Instagram, shifting much of the enforcement work to advanced AI systems. These AI tools are intended to detect and remove posts that violate the company’s terms of service, including scams, abusive content, and other harmful material more quickly and at greater scale. Meta has already used automated systems for years to spot spam and abusive posts. The company claims the new AI systems can catch more instances of problematic content and perform repetitive enforcement tasks more efficiently than human teams. This change reflects Meta’s broader strategy to automate core aspects of platform safety and reduce ongoing costs associated with external moderation contracts.

This news matters because it shows how much big tech companies are doubling down on AI to run the platforms we use every day. Content moderation has always been a huge challenge at scale, and companies like Meta hope AI can handle the mountain of posts more quickly and cheaply than human reviewers. Yet, moving away from people and toward algorithms for something as sensitive as safety and abuse reporting raises questions about accuracy and accountability. If AI systems make mistakes, like flagging harmless content or missing harmful posts, that could directly affect users’ experiences and even public discourse.

“These Colleges and Universities Are Offering Majors in AI — What Is That?” MSN, 2026, https://www.msn.com/en-ca/news/us/these-colleges-and-universities-are-offering-majors-in-ai-what-is-that/ar-AA1YLF6G?ocid=BingNewsVerp

This news piece explains how higher‑education institutions across the United States are beginning to offer dedicated majors in AI. Traditionally, computer science degrees served as the primary pathway into AI fields, but recent developments show universities launching standalone AI programs to meet workforce demands. Schools such as Rice University, Carnegie Mellon, and the University of California, San Diego have introduced full bachelor’s degrees or specialized AI‑focused curricula. The story positions AI studies as both a technical discipline and a developing academic field that combines computing fundamentals with ethics, policy, and real‑world applications.

Having college majors specifically devoted to AI means students can dive deeper into the technology that’s already reshaping the job market. With AI tools becoming more integral to everything from healthcare to marketing, universities are trying to make sure their graduates are ready to work with and lead in these systems. Many employers now list AI skills as key qualifications, so educational programs that focus on machine learning, algorithms, data ethics, and systems design give students a real advantage. Schools are redefining what a “tech degree” looks like and trying to bridge the gap between academic learning and real‑world skills. Talking about AI majors is about preparing future professionals to understand and critique the technology that’s shaping society.

Sanders, Bernie. “I spoke to AI agent Claude.” YouTube, uploaded by Senator Bernie Sanders, 19 Mar. 2026, https://www.youtube.com/watch?v=h3AtWdeu_G0. Accessed 20 Mar. 2026. 

In this video, U.S. Senator Bernie Sanders sits down to have a conversation with Anthropic’s AI chatbot Claude. Sanders prompts Claude with questions, and the chatbot replicates a woman’s voice in its voice mode responses. The topics of interest that Sanders brings up include the impact of AI on privacy, the way AI uses Americans’ data, and whether a moratorium on AI data centers would be appropriate. Claude produces thorough, presumably factual, and seemingly “honest” answers to the senator’s questions. For Sanders, the conversation seems to highlight concerns about the lack of regulation of in the AI industry and how the democratic process is affected as a result.

This video captured my interest because of how it mixes political messaging with a demonstration of how AI works. Throughout Sanders’s interaction with Claude, he seems able to steer the chatbot toward responses that align with his views. AI’s prevalence, it seems, can be used as a political tool in more ways than one. It opens up potential further research on the relationship between artificial intelligence and political propaganda.