Articles Posted in Publi9c Policy

Promising results suggest a potentially groundbreaking approach to predicting undesirable AI behavior, but limited experimental testing calls for further independent verification.

Introduction

As artificial intelligence becomes increasingly integrated into professional practice, education, government, healthcare, and everyday life, questions concerning the reliability and safety of AI-generated responses have taken on growing importance. A particularly troubling possibility is that an AI chatbot may initially provide appropriate, useful, and accurate information, only to begin producing potentially harmful responses as a conversation progresses.

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

Congressional Budget Office (CBO) final report, August  28,2026.*

CBO reports annually on programs whose authorizations of appropriations have already expired or will expire. This report updates CBO’s preliminary report that was released on January 15, 2026.

SUMMARY:

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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