Articles Posted in Information Technology

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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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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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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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Introduction

Artificial intelligence policy has often been characterized as a contest between those urging rapid innovation and those seeking greater regulation. A recently released statement entitled Pacing the Frontier suggests that this characterization may no longer be sufficient.

Signed by more than one thousand researchers and employees from leading AI organizations (including OpenAI, Anthropic, Google DeepMind, Meta, Microsoft, Amazon, and others) the statement does not advocate halting AI research. Instead, it urges governments to help develop the technical and institutional mechanisms needed to ensure that future advances remain under meaningful human oversight.

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David G. Badertscher

“Every generation of legal researchers inherits new tools. Their enduring responsibility is to learn how to use them wisely.”

Introduction

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Artificial intelligence is rapidly moving beyond experimentation in the legal profession and becoming embedded in the day-to-day operations of leading law firms. The latest example comes from Kilpatrick Townsend & Stockton LLP, which has announced the creation of an AI Lab dedicated to developing customized AI solutions for both its internal staff and its clients. The initiative reflects a growing recognition that off the shelf AI tools may not always address the specialized needs of legal practice, prompting firms to invest in tailored applications designed to enhance efficiency, knowledge management, client service, and legal workflows.

The establishment of a dedicated AI Lab also signals a broader shift occurring throughout the legal industry. Rather than viewing artificial intelligence solely as a productivity tool, many firms are beginning to treat AI as a strategic capability that can differentiate their services and strengthen client relationships. By bringing lawyers, technologists, and innovation professionals together in a structured development environment, firms hope to create practical solutions that address real world legal challenges while maintaining the professional standards, confidentiality requirements, and ethical obligations unique to the practice of law.

Kilpatrick’s initiative offers an opportunity to examine how law firms are evolving from consumers of legal technology to active developers of AI enabled services. It also raises important questions about the future role of lawyers, the increasing demand for legal technology expertise, and the ways in which artificial intelligence may reshape the delivery of legal services in the years ahead.

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The complete article “Your Conversations With AI May Not Be as Private as You Think,” published by Tech Xplore* in May 2026, reports on a study conducted by researchers at the IMDEA Networks Institute examining the privacy practices of leading generative AI platforms, including ChatGPT, Claude, Grok, and Perplexity AI. The researchers found that some AI systems incorporate tracking technologies associated with major technology companies such as Meta, Google, and TikTok, raising concerns about the extent to which user interactions may be monitored or shared with third-party analytics and advertising ecosystems. The following is an overview of the article:

According to the article, the study revealed significant variation in how AI services manage user privacy. While some platforms appeared to limit external tracking mechanisms, others transmitted metadata and usage information that could potentially be used to profile users or monitor behavioral patterns. The researchers emphasized that the concern is not necessarily that full conversations are publicly exposed, but rather that background data collection practices may operate in ways users neither expect nor fully understand.

The article also highlights the growing tendency of users to discuss highly personal, financial, medical, professional, and legal matters with AI systems. In light of this trend, the researchers caution against assuming that conversations with AI platforms are protected by the same confidentiality standards that apply to communications with lawyers, physicians, therapists, or other privileged professionals.

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