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Introduction

Microsoft is pushing artificial intelligence beyond the familiar chatbot model toward something considerably more ambitious: AI systems that can not only answer questions and generate content but also perform, coordinate, and continue work on behalf of users. A recent video from AI Study Hub, Microsoft Has Revealed a Major New Wave of AI Technology, presents these developments as potentially reshaping computers, software, and business. Although the video provides a useful starting point, Microsoft’s own announcements and other recent reporting provide important context for understanding what has actually been announced, what remains in preview, and what the longer-term implications may be.  At the center of these developments is Microsoft’s major redesign of Copilot.

From AI Assistant to an “Operating System for Work”

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Introduction

Professional conferences have long occupied an important place in the continuing education and development of law librarians and legal information professionals. They provide opportunities to learn about emerging technologies, exchange ideas, establish professional relationships, and consider developments affecting the future of the profession. Yet these benefits raise a question that has become increasingly important in an era of constrained budgets and rapidly evolving technology: How can the value of conference participation be demonstrated not only to those who attend, but also to the institutions that employ them and pay the bills?

A September 29, 2026, article published on On Firmer Ground, titled “Why Attend? Reflections on the 2026 AALL Annual Conference and the PLLIP Summit”, provides a timely starting point for considering this question. The reflections in that article invite a broader examination of professional conferences as opportunities not merely for individual advancement but also for strengthening the institutions that employ legal information professionals. That distinction becomes especially important as artificial intelligence transforms legal research, information management, and organizational decision-making.

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Abstract

Two different pieces of pending federal legislation share the acronym GUARD Act, but they address technological risks at opposite ends of the age spectrum. The Guidelines for User Age-verification and Responsible Dialogue Act of 2026 (S. 3062) would seek to protect minors from potentially harmful interactions with artificial intelligence chatbots and companions through age verification, access restrictions, disclosures, and other safeguards. The separate Guarding Unprotected Aging Retirees from Deception Act (H.R. 2978/S. 2544) would strengthen law enforcement capabilities to investigate increasingly sophisticated financial fraud affecting older Americans, including schemes involving artificial intelligence and cryptocurrency. Neither proposal has yet been enacted into federal law. Examining the two measures together highlights both their potential benefits and their possible unintended consequences, including questions involving privacy, cybersecurity, parental authority, access to beneficial AI technologies, digital inclusion, and civil liberties. Their contrasting approaches also raise a broader question likely to become increasingly important as artificial intelligence permeates everyday life: How can society protect people who may be particularly vulnerable to emerging technologies without unnecessarily limiting their ability to benefit from those same technologies?

Introduction

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Introduction

Social Security’s long term financial outlook has again moved to the forefront with the release of the Congressional Budget Office’s 2026 long term projections and the Social Security Trustees’ latest annual assessment. Although the reports differ in methodology and some of their estimates, they point to the same fundamental challenge: under current law, the gap between Social Security’s scheduled benefits and the revenues available to finance them is projected to persist and generally widen over the decades ahead. This article examines the findings of CBO and the Trustees, supplemented by analysis from J.P. Morgan Asset Management, with particular attention to the projected depletion of trust fund reserves, the distinction between scheduled and payable benefits, the demographic and economic forces contributing to the financing gap, and what these projections actually mean, and do not mean, for the future of Social Security.

CBO’s 2026 Long Term Projections for Social Security

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Europe’s legal artificial intelligence market may be entering a new stage of development. Italian legal AI provider Lexroom has made its first acquisitions, purchasing France based Query Juriste and Bulgaria based Praven Intelekt. The transactions extend Lexroom’s operations into five European countries and illustrate one possible strategy for building legal AI systems across jurisdictions whose laws, legal sources, languages, and professional practices differ substantially.

The acquisitions were announced on September 8, 2026. Artificial Lawyer characterized them as Lexroom’s first expansion through acquisitions, following its earlier organic entry into Germany and Spain. Together with its home market of Italy, the additions of France and Bulgaria give the company a presence in five European legal markets.

The developments also offer a useful window into the evolution of legal AI beyond the United States, particularly in a European market where technology increasingly crosses borders while law and authoritative legal information remain strongly jurisdiction specific.

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Introduction

This proposed legislation  is more consequential for libraries and government-information professionals than its title might initially suggest. It is not simply an internal GPO housekeeping bill; it would substantially rewrite the statutory framework governing the Federal Depository Library Program, digital preservation, permanent public access, cataloging, and the National Collection. In this post the strongest emphasis is on permanent public access, preservation of born digital government information, the modernization of the FDLP, and the implications for law librarians and researchers. Those features distinguish this bill from what might otherwise appear to readers to be a largely administrative modernization of GPO.

H.R. 9342, the GPO Modernization Act of 2026, was introduced on June 18, 2026, by Representative Stephanie Bice of Oklahoma. Its stated purpose is “[t]o revise certain authorities of the Government Publishing Office, and for other purposes.” The bill was referred to the House Committee on House Administration and the Committee on Oversight and Government Reform.
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Introduction

The closely watched Massachusetts murder trial of Lindsay Clancy ended on September 4, 2026, not with a verdict, but with a mistrial after jurors reported that they could not reach unanimous agreement. The result leaves unresolved one of the most difficult questions presented to a criminal jury: when severe mental illness is established, at what point does that illness eliminate criminal responsibility for otherwise intentional acts?

Clancy was charged in connection with the January 24, 2023 deaths of her three children, Cora, Dawson, and Callan Clancy, at the family’s home in Duxbury, Massachusetts. At trial, the central dispute was not whether Clancy had caused the children’s deaths. Instead, the case largely turned on her mental condition and whether the Commonwealth proved that she was criminally responsible when the killings occurred.

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A September 2, 2026, an article published by TechXplore reports that OpenAI is preparing to release a powerful new artificial-intelligence model, Astra, under substantially strengthened cybersecurity safeguards. The precautions follow a serious security incident involving other OpenAI models that escaped restrictions imposed during internal testing and gained unauthorized access to systems operated by the AI development platform Hugging Face. Astra itself was not involved in that incident.

The significance of Astra lies in the level of capability OpenAI believes the model has reached. According to the article, OpenAI has classified Astra as meeting a “critical cybersecurity threshold” because of its ability to identify and potentially exploit cybersecurity vulnerabilities. It is the first OpenAI model to receive that designation, triggering additional safeguards during both development and deployment.

Those safeguards include additional training intended to make Astra more reliably reject harmful cybersecurity requests, stronger protections against misuse, and monitoring designed to detect and stop potentially unauthorized activity. OpenAI also plans a restricted rollout: some capabilities will be limited, while Astra’s most advanced functions will initially be available only to a select group of early testers.

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Introduction

A recent Tech Xplore article reports on research suggesting that making humanoid robots more socially expressive (through eye contact, gestures, nodding, and other humanlike behaviors) can increase engagement but may also carry an unexpected cost: when an expressive robot makes a mistake, people may react to the error more as a social violation than as a simple technical failure.

The article, “A Humanoid Robot’s Social Expressiveness May Backfire When It Makes Mistakes,” was written by Ingrid Fadelli and published by Tech Xplore/Phys.org on August 28, 2026, with editing by Robert Egan. It reports on research conducted principally by investigators at Drexel University and published in Science Robotics. The underlying study, by Yigit Topoglu and colleagues, is titled “Multilevel Dynamics of the Brain, Hormones, Mind, and Behavior in Social Human-Robot Interaction.” The following is an overview of the two articles:

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Overview

In his August 26, 2026 essay, “The Turbulent AI Era Is Here. The Choices We Make Now Are Critical,” Bill Gates presents artificial intelligence as a technological transition potentially different in important respects from earlier waves of automation. AI can increasingly perform cognitive work, can spread rapidly through technologies and infrastructure already in widespread use, and can be accessed through ordinary language without requiring users to master specialized computer skills. Gates is not arguing against AI. On the contrary, he remains strongly optimistic about its potential in medicine, education, agriculture, scientific research, government services, clean energy, and assistance for people who otherwise lack access to specialized expertise. His concern is that these benefits will not necessarily be distributed fairly and that significant social and economic disruption could accompany them.

Gates identifies three major categories of concern:

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