Articles Posted in Artificial Intelligence

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:

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.

Ohio has enacted a new law governing the use of drones by law enforcement, reflecting the growing effort by legislatures to adapt Fourth Amendment principles to rapidly evolving surveillance technologies. Signed by Governor Mike DeWine, House Bill 251 establishes that, in most situations, police officers must obtain a search warrant before using a drone to conduct a search when a warrant would also have been required had officers entered the location in person.

The legislation recognizes that unmanned aerial vehicles (UAVs) have become increasingly valuable investigative tools while also raising significant privacy concerns. Until now, Ohio law addressed some warrant requirements for surveillance conducted from manned aircraft but did not specifically regulate drones. House Bill 251 fills that gap by extending traditional constitutional search principles to unmanned aerial surveillance.

Principal Provisions

Source: Mohamed Obaidy, Associate Director, Economic Policy Team, Center for New York City Affairs (CNYCA), Income Polarization Redux: NYC’s Wage Gains Are (Again) Flowing to the Top (2026).

Introduction

In Income Polarization Redux: NYC’s Wage Gains Are (Again) Flowing to the Top, Mohamed Obaidy examines recent wage, employment, and productivity trends in New York City and concludes that economic gains are becoming increasingly concentrated among higher-income workers and higher-paying industries. While New York City’s economy continues to grow and workers are becoming more productive, the benefits of that growth are not being distributed evenly across the workforce.

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.

OVERVIEW:

The April/May 2026 issue of the American Bar Association Senior Lawyers Division’s Experience Magazine (Volume 36, Issue 3) centers on a unifying and reflective theme: the meaning of the “bucket list” at different stages of life and professional maturity. The issue combines personal essays, reflections on retirement and reinvention, practical professional guidance, and a timely discussion of artificial intelligence in legal practice.

A major theme running throughout the issue is that fulfillment in later life is not necessarily tied to grand adventures or dramatic achievements, but often to purpose, service, mentoring, and appreciation for experiences already gained. Several contributors challenge the traditional notion of a “bucket list” as merely a checklist of destinations or accomplishments. Instead, they encourage readers—particularly senior lawyers—to think about meaning, contribution, relationships, and continued intellectual engagement.

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

As artificial intelligence rapidly enters the criminal justice system (shaping everything from policing strategies to judicial decision-making) the need for clear guidance has become increasingly urgent. Two recent publications from the Council on Criminal Justice provide a timely and authoritative response:

This new series on the Criminal Law Library Blog, Selected Law.com Alerts, curates and organizes notable legal developments drawn from Law.com’s daily alerts, with each post identified by date (e.g., Selected Law.com Alerts, April 14, 2026) and structured by topic for ease of reference. These entries are intended to highlight key issues, trends, and cases of interest to readers.  Please note that while summaries and references are provided, access to the full text of articles cited from Law.com requires an active subscription to that service.

ARTIFICAL INTELLIGENCE

NEW JERSEY

Contact Information