Articles Posted in Library Professional Development

This library technology study examines IT budget sufficiency, capital funding, technology refresh cycles, upgrade delays, collaboration with academic departments, strategic alignment, generative-AI subscription spending, cloud and AI spending, and technology budget composition.

The report finds that library IT budgets are only moderately sufficient. 12.12% say their current library IT budget is sufficient, while 42.42% call it moderately sufficient. One-third, 33.33%, say it is insufficient, though no respondent calls it critically insufficient.

Capital funding for equipment replacement is usually irregular. 60.61% receive capital funding irregularly, and 6.06% never receive it. Only 18.18% receive such funding annually, and 3.03% every two to three years.

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:

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:

Budget reconciliation is a special congressional procedure created by the Congressional Budget Act of 1974 that allows Congress to consider legislation affecting federal spending, revenues (taxes), and the debt limit under expedited procedures. Most notably, reconciliation bills can pass the Senate with a simple majority vote rather than the 60 votes normally needed to overcome a filibuster. As a result, reconciliation has become one of the most important tools for enacting major fiscal policy changes. The following is an overview of the congressional budget reconciliation  process and a discussion of its importance to librarians, researchers, and the general public.

What Is Reconciliation?

Reconciliation is designed to align existing laws with the fiscal goals established in a congressional budget resolution. It can be used to:

Artificial intelligence is now woven into the daily fabric of legal work. From case law research to contract analysis and compliance monitoring, AI systems are accelerating tasks that once required hours of manual review. But as these tools become more capable, the legal profession faces a central challenge: How can lawyers trust AI in high‑stakes environments where accuracy, transparency, and defensibility are non‑negotiable?

Two concepts have emerged as foundational to answering that question: interpretability and retrieval-augmented generation (RAG). While distinct, they work together to create AI systems that are transparent, grounded in evidence, and aligned with professional legal standards. Although both have existed for some time, their integration into legal research remains in its infancy, and there is much to learn. This post explores how these systems are reshaping AI legal research based on a review of current industry sources.

Understanding Interpretability in Legal AI

The March 30, 2026 issue of Information Insights, published by Association for Information Science and Technology, offers a timely snapshot of a profession in transition. From the growing centrality of artificial intelligence to the strategic implications of the ASIS&T SLA merger, this edition highlights how information professionals are redefining their roles in an increasingly data-driven and interconnected world. The selected items underscore a clear message: adapting to technological change while strengthening professional collaboration is now essential to the future of information science. The following includes a Synopsis of the March 30, 2026 issue for the convenience of some, followed by a link to the entire issue.

SYNOPSIS:

The March 30, 2026 issue of Information Insights highlights a profession in transition, shaped by artificial intelligence, organizational consolidation, and a renewed emphasis on global collaboration and professional development. The newsletter blends association updates with broader trends affecting information science, libraries, and knowledge management.

Metaphysics is often described as the branch of philosophy that asks the most fundamental question of all: what is real? It explores the nature of existence, identity, causation, and the structure of reality itself. While this may sound abstract, metaphysics is far from remote. In practice, it quietly shapes the assumptions underlying every legal system and every act of legal research.

From the time of Aristotle and Plato, metaphysics has served as the foundation of traditional philosophy. It provides the conceptual framework within which other fields, knowledge, reasoning, and ethics, operate. In law, that framework is not theoretical; it is embedded in doctrine, interpretation, and everyday practice.

Consider a few familiar legal questions:

Welcome to The Education Edge—the new name and refreshed look of what was formerly the [AALL] Education Update. Designed to keep you learning and moving forward, The Education Edge highlights timely resources, ideas, and opportunities to support your professional growth.

Explore resources of The Education Edge.

Two recent opinion columns published on Justia Verdict – Legal Analysis and Commentary from Justia examine the legal, political, and moral implications of the continuing disclosures surrounding the Jeffrey Epstein investigations. Written by Professor Marci A. Hamilton of the University of Pennsylvania and founder of CHILD USA, the essays present a forceful argument that accountability for systemic abuse requires sustained legal pressure and public transparency. The views expressed are those of the author and do not represent the official position of Justia.

1. “The Three Avenues to Justice in the Epstein Cases” (Feb. 24, 2026)

In The Three Avenues to Justice in the Epstein Cases, Professor Hamilton argues that meaningful accountability is likely to emerge through three principal legal pathways rather than through federal prosecutorial initiative alone.

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