As artificial intelligence reshapes the global workforce, one generation sits in an unusually precarious position, not fresh enough to be cheap and adaptable, not seasoned enough to retire. That generation is Generation X. Born between 1965–1980, Gen Xers now in their 40s and 50s hold critical roles across healthcare and knowledge industries. They’re often mid- to senior-level managers, operations leaders, clinical educators, compliance specialists, and care coordinators. These are precisely the positions now being restructured, streamlined, or altogether replaced by generative AI tools. This isn’t a panic piece. It’s a…

Seattle Children’s Hospital partnered with Google Cloud to launch Pathway Assistant, a generative AI tool that helps clinicians access over 70 clinical care pathways in seconds. Built on Google’s Gemini model via Vertex AI, the assistant streamlines decision-making, reduces administrative burden, and improves consistency in pediatric care. What Is Pathway Assistant? Pathway Assistant is an AI-powered tool developed by Seattle Children’s Hospital in partnership with Google Cloud. It uses generative AI (Gemini, via Vertex AI) to help clinicians instantly retrieve and interpret standardized care pathways for over 70 pediatric conditions.

Healthcare is increasingly challenged by complexity, fragmented data systems, rising automation, and limited interoperability among tools meant to ease clinical workloads. While artificial intelligence has made significant progress in areas like diagnostics and documentation, current models often lack a grounded understanding of the physical environments and real-time dynamics in which care unfolds. As a result, their usefulness remains constrained when applied to tasks requiring spatial awareness, memory, or adaptive reasoning. A new direction in AI research, world models, seeks to address these limitations. Developed by researchers like Fei-Fei Li and Yann LeCun, …

New York State is now the first U.S. state to require employers to disclose whether mass layoffs are due to AI. As of March 2025, a new checkbox has been added to the state's WARN (Worker Adjustment and Retraining Notification) form. Employers planning mass layoffs must now indicate if the reductions are due to "technological innovation or automation," and specify whether AI was involved. Though seemingly minor, this checkbox could be the first step toward much-needed transparency in how automation, and AI in particular, is reshaping the labor market. The implications are profound for the healthcare industry, where both automation and workforce shortages are intensifying.

As the global race to dominate artificial intelligence accelerates, access to advanced AI chips has become a strategic issue at the intersection of technology, security, and diplomacy. Recent shifts in U.S. export policies have left European nations navigating uncertainty about their role in the evolving AI ecosystem. Yet within this policy turbulence lies a chance for renewed agency. Is this a restrictive moment for Europe, or an invitation to reimagine its technological future? The Evolution of U.S. AI Chip Export Policy In early 2025, the Biden administration introduced a structured, tier-based framework for AI chip exports aimed at safeguarding national security and curbing potential misuse of advanced technology.

As women enter midlife, their healthcare journeys become more complex and invisible. Symptoms become more complicated to explain, diagnostic pathways more fragmented, and solutions less personalized. From fluctuating hormones to rising cardiac risk, midlife women often find themselves navigating a system that was never fully designed with them in mind. But what if a virtual version of you, a bio-digital twin trained on your unique biology, could help rewrite that story? What Is a Bio-Digital Twin? A bio-digital twin is a virtual, data-driven replica of a person's biological systems. Think of it as a living, breathing simulation built from your real-world health data, from genomics and lab tests to lifestyle, environment, and wearable tech inputs.

As artificial intelligence becomes more deeply embedded in clinical care, a new dilemma is quietly emerging: what happens when the model doesn’t stay the same? Unlike traditional medical devices or fixed software tools, a growing number of AI systems in healthcare are continuously learning—meaning they retrain on new data over time, often without human oversight. These "adaptive algorithms" are designed to get smarter. But as they evolve, so do the risks. And it raises a fundamental, uneasy question: How do you audit a medical tool that is constantly rewriting itself?

As artificial intelligence reshapes the future of work, one critical question is emerging: Are our AI systems inclusive of every generation in the workforce? With automation, algorithms, and AI-driven decision-making increasingly shaping hiring, training, and productivity tools, there’s growing concern that age-related bias may be coded—often unintentionally—into the digital foundations of our workplaces. The consequences are more than theoretical. Without intentional safeguards, AI could reinforce harmful stereotypes and systemic ageism. But there's good news: age-proofing AI—designing systems that fairly serve workers of all ages—is not only possible but can lead to more innovative, diverse, and resilient organizations.

As artificial intelligence reshapes everything from healthcare to education, governments are stepping up—not just to regulate but to empower. The European Commission has unveiled a €1.3 billion investment plan under the Digital Europe Programme (DIGITAL) for 2025 to 2027, aiming to enhance the continent's technological sovereignty by advancing artificial intelligence (AI), cybersecurity, and—perhaps most importantly—equip people with the digital skills needed to thrive in the age of intelligent machines. So, what does this mean for you—whether you're a healthcare professional, tech-aware parent, or someone simply trying to stay informed about how AI is shaping the future?

In 2024, the world generated over 120 zettabytes of data. Much of it came from you: your clicks, your voice searches, your location history, your conversations, your habits. And most of it was gathered passively, invisibly, and profitably. Yet despite powering a trillion-dollar industry and fueling some of the most powerful AI systems in human history, the average person sees little, if any, return. Bill Gates once proposed that we should tax robots. The idea was simple: if machines replace human workers, the companies profiting from that automation should help cover the loss of income tax revenue.

From April 21–25, 2025, the U.S. will witness an unprecedented gathering of minds across sectors during AI Week 2025, an event curated by AISCOOP to spotlight artificial intelligence’s transformative power. This national tech festival isn’t just another conference—it’s a distributed, interactive celebration of what AI is, where it’s headed, and how it’s reshaping everything from healthcare and education to government operations and digital ethics. AI Week 2025 arrives at a critical juncture. With generative models advancing, regulations tightening, and public discourse heating up, this event aims to demystify AI and make innovation accessible.

Welcome to our first edition of the AI Spotlight Series, where we shine a light on individuals making AI more understandable, more accessible, and most importantly—more factual. As artificial intelligence increasingly impacts our healthcare, workplaces, and daily lives, separating science fiction from science fact has never been more important. This week, we begin with a journalist who has become a global compass in navigating AI’s complexities: Karen Hao. Cutting Through the AI Noise In a field often clouded by jargon, hype, and corporate spin, Karen Hao is a rare voice of clarity.

When Experience Retires, What Remains The surgical suite has long been a space of precision, pressure, and human mastery. Here, the steady hands of seasoned surgeons have repaired hearts, removed tumors, and stitched together lives. But as many of these experts prepare to hang up their scrubs, a quiet tension is emerging: who will replace them—and what role will artificial intelligence and robotic systems play in the operating room of the future? We are entering a new era of surgical care. Not just because of technology, but because of timing. Around the world, …

Artificial Intelligence is no longer confined to research labs or hypothetical futures—it’s actively reshaping industries, transforming healthcare, and redefining how we live and work. But how do we ensure the technology developed in academic settings reaches the people and sectors who need it most? That’s exactly the challenge Georgia Tech is tackling with the launch of Tech AI, a bold initiative announced at its inaugural Tech AI Fest 2025. Georgia Tech’s Tech AI isn’t just another academic program—it’s a strategic push to accelerate the real-world impact of AI. As AI systems grow more powerful and prevalent, the need to responsibly integrate them into critical sectors like healthcare, transportation, energy, and manufacturing becomes urgent.

In a move that underscores growing concern over digital vulnerabilities in the healthcare system, the U.S. Drug Enforcement Administration (DEA) recently issued a warning to medical professionals about a new form of cyber fraud involving electronic health records (EHRs). The advisory, shared through official DEA communication channels, reveals that hackers have been targeting EHR systems to steal DEA registration numbers—unique identifiers issued to licensed providers authorized to prescribe controlled substances. These stolen credentials are then used to forge electronic prescriptions for opioids and other medications, contributing to the nation’s ongoing battle with drug misuse and diversion.

Penn State recognizes faculty shaping the AI-Enhanced classroom—Here’s How to Apply. In an academic era shaped by digital transformation, artificial intelligence, and interdisciplinary collaboration, recognizing faculty who go the extra mile is not just ceremonial—it’s strategic. Penn State University is doing just that with the opening of applications for its 2025–26 University Libraries Faculty Engagement Award, an initiative that elevates the role of libraries in research, teaching, and outreach. Launched in 2020, this annual award highlights faculty members who actively partner with the University Libraries to enhance learning experiences, generate impactful research, or expand community engagement.

In a decision that’s stirring national conversation, Virginia Governor Glenn Youngkin recently vetoed a bill aimed at regulating the use of artificial intelligence in high-stakes decision-making. The bill, known as the High-Risk Artificial Intelligence Developer and Deployer Act (HB 2094), had passed the state legislature with support from bipartisan lawmakers and consumer advocates. It would have been one of the most comprehensive AI consumer protection laws in the United States. Instead, its rejection leaves Virginians—and Americans more broadly—asking an urgent question: Can innovation coexist with ethical guardrails in AI?

As artificial intelligence transforms industries, it’s vital to recognize the brilliant minds shaping this technology with equity, ethics, and impact at the core. This Women’s History Month, we spotlight 20 exceptional women advancing the frontiers of AI across research, healthcare, ethics, education, and enterprise. Their work not only redefines what's possible with machine learning and data but centers the human story—especially in contexts where AI intersects with justice, access, and empathy. From pioneering interpretable algorithms to ensuring fairness in facial recognition and scaling AI for social good, these women are redefining the technology's soul.

Despite global progress in vaccination and awareness, a quiet but troubling trend is gaining momentum: HPV-associated cancers are on the rise. While some types, like cervical cancer, have seen modest declines in countries with screening programs, others—particularly oropharyngeal cancers—are increasing, especially among men. This "silent surge" is raising alarm among public health experts. But it’s also fueling innovation. One of the most promising developments? The growing use of artificial intelligence (AI) to detect, diagnose, and personalize treatment for HPV-related cancers. With recent advances in histopathological AI, the future of HPV cancer care could be faster, smarter, and more equitable.

At Tsinghua University, one of China’s most prestigious institutions, students are cramming into classrooms for a chance to learn about large language models and generative AI. The course has gained such popularity that one attendee likened the rush to China’s Spring Festival travel surge—a yearly event known for overwhelming crowds and transportation gridlock. The AI course, now overflowing beyond capacity, symbolizes more than academic curiosity—it reflects a national strategy to cultivate expertise in emerging technologies. In China, AI education is no longer confined to computer science departments. It’s a cross-disciplinary priority spanning medicine, engineering, and even the humanities.

At Weill Cornell Medical College, first-year student Kellen Vu doesn’t just learn how to diagnose illness—he’s also practicing how to make patients feel heard. But instead of a live actor in a simulation room, Vu is talking to an artificial intelligence-powered patient named MedSimAI. AI is now stepping into the training ground of America’s future physicians—not to replace clinical education, but to transform how it’s delivered. Traditionally, med students sharpen their communication and diagnostic skills by interacting with trained actors during Objective Structured Clinical Examinations (OSCEs). These graded encounters simulate real-world interactions, but they’re expensive, time-consuming, and limited in number.

In neonatal intensive care units (NICUs), a baby’s life can depend on milliliters. For the tiniest patients—those born weeks too soon—nutrition isn’t as simple as a bottle or breast. It often arrives through an IV line, in a precisely formulated cocktail of proteins, fats, sugars, vitamins, and medicine. Getting that formula wrong can mean severe complications or worse. A new study from Stanford Medicine, published March 25 in Nature Medicine, may change how we care for these fragile newborns. It shows that artificial intelligence (AI), trained on more than 10 years of NICU data, can design intravenous nutrition regimens that doctors often rate as…

Hospitals worldwide are sounding the alarm. There simply aren’t enough radiologists or imaging technologists to meet the growing demand for medical scans. What’s happening? A perfect storm: an aging radiologist workforce approaching retirement, skyrocketing imaging volumes, persistent gaps in subspecialties like pediatrics and interventional radiology, and alarmingly high vacancy rates among CT, MRI, and ultrasound technologists. The result? Longer wait times, delayed diagnoses, and overstretched staff.

Hospitals worldwide are sounding the alarm. There simply aren’t enough radiologists or imaging technologists to meet the growing demand for medical scans. What’s happening? A perfect storm: an aging radiologist workforce approaching retirement, skyrocketing imaging volumes, persistent gaps in subspecialties like pediatrics and interventional radiology, and alarmingly high vacancy rates among CT, MRI, and ultrasound technologists. The result? Longer wait times, delayed diagnoses, and overstretched staff. In response, tech giants NVIDIA and GE HealthCare are stepping in with a bold solution—deploying physical AI to automate and enhance diagnostic imaging, offering a glimpse into a future where smarter machines support overworked teams and help close the global care gap.

Where Human Experience Shapes the Future of Artificial Intelligence in Healthcare Artificial intelligence is transforming healthcare at a rapid pace, but not everyone is asking the most important question: How does AI work when it meets the real world—and real people? At Northeastern University’s Institute for Experiential AI (EAI), that question isn't just a starting point. It's the mission. Launched in 2021, the Institute for Experiential AI was born from a clear need: to bridge the widening gap between technical breakthroughs in AI and their responsible, effective use in high-stakes sectors like healthcare.