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National AFL-CIO ‘Sounds The Alarm On How AI Technology Is Being Deployed In The Workplace & How The Labor Movement Plans To Center Workers In This Transition’

The National AFL-CIO is expressing profound concern regarding the accelerated deployment of Artificial Intelligence (AI) technology within American workplaces, arguing that while it significantly benefits tech billionaires, it simultaneously poses critical threats to workers' jobs, fundamental rights, and overall well-being. This alarm follows a noticeable surge in AI-related advertising, particularly during high-profile events like the Super Bowl, which was met with a largely negative public reception. The labor movement emphasizes its proactive 'Workers First Initiative on AI,' launched in 2025, which outlines a comprehensive strategy for the ethical development and regulation of new technologies. This initiative rigorously demands the establishment of responsible and common-sense guardrails to safeguard employment, ensure access to healthcare, protect vital public services, and secure the future economic stability of the workforce against the unfettered integration of AI systems. The AFL-CIO's stance is clear: AI must serve the interests of working people and their families, not just corporate profits.

What is the future of Artificial Intelligence regulation?

Feb 16,26 | 01:39 EST

Reflection on the future of Artificial Intelligence regulation is conditioned by the fact that this technology is advancing at an extraordinarily rapid pace. Today we know that we are moving towards AI that is increasingly closer to human intelligence, agentive, contextual, emotional and culturally shaped. An AI that will act as an invisible, omnipresent infrastructure, integrated into our daily routines, and that will function as a cognitive companion capable of making decisions on our behalf. In this scenario, regulation should not be based on how it works, regulating according to its internal processes, but rather on the consequences it may produce, and therefore it must become much more dynamic, technical and continuous. Regulation will have to adapt to a reality where AI is not a product, but an infrastructure. Supervision must be permanent, based on real-time data and automated auditing using algorithms capable of monitoring and explaining other algorithms. The requirements of transparency, traceability, natural explainability and continuous risk assessment must form the basis of the new regulatory framework. It is important to raise the level of discourse on risks, looking not only at the micro level, but also at the macro level: society, culture, politics, democracy and also the individual as a free agent. At the same time, equal and non-discriminatory access to technology must be provided if we do not want to have first-, second- or third-class citizens in areas such as agentive AI or neurotechnology.

Over 5,200 independent U.S stores to rollout AI technology

Feb 16,26 | 01:38 EST

This news article details the ambitious initiative by the Strategic Alliance for Affiliated Store Owners of America (SAASOA) to integrate advanced AI technology into over 5,200 independent U.S. convenience stores by 2026. The core objective of this rollout is to empower store owners with unprecedented real-time operational insights, thereby bridging a critical gap in day-to-day visibility that has long challenged independent retailers. The InStore.ai platform is at the heart of this transformation, designed to capture, analyze, and translate everyday cashier-customer interactions into actionable data. This technological advancement promises to revolutionize how c-store operations are managed, offering tools for enhanced team coaching, operational tightening, and more consistent execution of vital loyalty and promotional programs. The phased implementation includes comprehensive support, ensuring that owners, district leaders, and store managers can effectively leverage the new system to drive performance improvements and achieve faster, more tangible results.

Artificial Intelligence Policy & GOP: Regulation Must Encourage Innovation

Feb 16,26 | 01:37 EST

The key is to draw a line between AI architecture and AI applications.

Should You Forget Palantir and Buy 2 Other Artificial Intelligence (AI) Stocks Right Now?

Feb 16,26 | 01:35 EST

Like Palantir, these two AI stocks are experiencing rapid growth. However, unlike Palantir, these companies are not currently valued as if they need to achieve perfection, offering a potentially more appealing investment opportunity.

Colorado lawmaker, advocacy groups host artificial intelligence town hall - CBS Colorado

Feb 16,26 | 01:34 EST

At a coffee shop in Aurora, a group of people gathered Sunday evening to talk about artificial intelligence and the potential dangers the technology poses.

Testing the Boundaries of Artificial Intelligence in Care Delivery: Utah’s Prescription Renewal Pilot Program

Feb 16,26 | 01:32 EST

In January 2026, the State of Utah, through its Department of Commerce's Office of Artificial Intelligence Policy (OAIP), launched a pioneering pilot program. This initiative permits an autonomous artificial intelligence (AI) system, developed by Doctronic, a healthcare AI platform, to participate in the crucial process of prescription medication renewals for patients managing chronic conditions. This program represents a significant deviation from traditional state medical practice regulations, as it allows an AI system to autonomously evaluate clinical information and legally issue routine prescription refills. This is facilitated under a specific regulatory mitigation agreement, operating within Utah’s innovative AI regulatory sandbox framework, known as the AI Learning Laboratory Program. This sandbox environment offers companies developing or deploying AI systems a supervised testing ground where they can receive temporary, customized regulatory relief while state regulators thoroughly assess the technology and its broader policy implications. The AI platform is authorized to process 30-, 60-, or 90-day prescription renewals for medications previously prescribed by a licensed clinician and accurately documented in the patient’s medical history. The pilot specifically targets routine, low-risk therapeutic agents for chronic conditions, explicitly excluding controlled substances, pain management medications, stimulants for attention-deficit disorders, and injectable drug formulations. The rollout involves an initial phase where human clinicians review the first 250 renewals for any given drug class before the AI gains autonomy for subsequent renewals. Furthermore, continuous sampling and audit mechanisms are in place, alongside after-the-fact clinician oversight and mandatory reporting obligations, ensuring safety and accountability.

Artificial Intelligence and Administrative Law: The UK’s Search for a New Framework, by Joe Tomlinson & Brendan McGurk

Feb 16,26 | 01:31 EST

This article discusses how administrative law should adapt to the rise of artificial intelligence, specifically focusing on the United Kingdom's evolving approach. It examines the foundational tension between traditional legal frameworks and the governance of AI-assisted decisions, outlining the UK's search for a new legislative framework. The questions animating this symposium—how administrative law should adapt to the rise of artificial intelligence—are hardly confined to the United States. The United Kingdom, like many other jurisdictions, is grappling with the same foundational tension.

Two computer scientists named to U.N. panel on artificial intelligence

Feb 14,26 | 01:46 EST

Princeton engineering faculty members Adji Bousso Dieng and Aleksandra Korolova have been named to the United Nations Independent International Scientific Panel on Artificial Intelligence, a global body examining the risks, opportunities, and impacts of AI.