AI Experts

Opinions and insights on artificial intelligence, written by experts with deep understandings of this transformative field. Analysis of the latest AI trends, including advancements in machine learning, natural language processing and automation. Thought leadership from AI pioneers, exploring the ethical, economic and societal implications of AI technology. How AI is disrupting industries, driving innovation and shaping the future of work. Expect a blend of technical depth and strategic foresight for those keen on staying ahead in the rapidly evolving AI landscape. Read more Expert Insights.

The New Front Line of A.I. Governance Is Procurement

Trilateral Research’s Amelia Williams examines a growing blind spot in enterprise A.I. adoption: procurement. As organizations rush to deploy powerful A.I. systems, procurement teams often make governance, compliance and data protection decisions without adequately managing risk.

By Amelia Williams

The Legal and Ethical Minefield of A.I.-Driven Employee Surveillance

Zal.ai CEO Kayvon Touran and organizational leadership expert Ben Dattner examine the rapidly expanding use of A.I. in employee monitoring, performance evaluation and compensation. They argue that existing laws and workplace norms are dangerously unprepared for a future defined by surveillance, behavioral profiling and psychological manipulation.

By Kayvon Touran and Ben Dattner

A.I. Adoption Is Surging. Data Governance Is Not Keeping Up.

Trilateral Research’s Amelia Williams examines the gap between enterprise A.I. adoption and the quality of the data powering those systems. As companies operationalize generative A.I., many are building governance frameworks that still rely on poorly governed data, creating growing risks around bias, compliance and accountability.

By Amelia Williams

Cybersecurity’s A.I. Problem Isn’t Technology. It’s Human.

By Judith Borts

Revisiting the AGI Timeline: The Disruption That’s Already Here and What Comes Next

By Angela Virtu

The SAT Isn’t the Problem. Access to Prep Is.

By Ron Schneidermann

Why Robots Observe, But Humans Still Decide

By Alexander Rugaev

Are Companies’ A.I. Ambitions on a Collision Course With Their Sustainability Goals?

By Seb Kirk

A.I. Agents Need Identity Before Cybercrime Scales Beyond Attribution

By Terence Kwok

Ads Are Good, Actually: The Next Stage of A.I. Monetization

By Michael Ludden

We’re Asking the Wrong Question About A.I. in Education

By Josh Crossick

Why Agentic A.I. Deployments Are Failing Before They Scale

By David Stokes

Human Capital as a Competitive Moat in the Age of A.I. Agents

By Mehdi Paryavi

How Regulatory Fragmentation Is Reshaping A.I. Startups

By Cien Solon

Big Tech’s $650 Billion Bet on A.I. Infrastructure

By Petr Malyukov

A.I. Adoption Without Literacy Is a Governance Risk

By Amelia Williams

Block, A.I. and the Front-Running of the Curve

By Yousef Khalili

Block’s A.I. Layoffs Signal a Tipping Point for White-Collar Work

By Mehdi Paryavi

Before Kids Learn to Think, They’re Learning to Prompt

By Sheldon Fernandez

Jack Dorsey Cut Half of Block’s Workforce and Wall Street Threw a Party

By Mark Minevich

A.I.’s Environmental Impact Is Testing Corporate Climate Commitments

By Dr. Rowena Rodrigues and Amelia Williams

Sara Hooker Raises $50M to Challenge A.I.’s Conventional Wisdom

By Alexandra Tremayne-Pengelly

Moltbook and the Humanless Future of Artificial Intelligence

By Mark Minevich and Will Saulsbery

How Google’s A.I. Overviews Are Rewriting the Rules of Digital Commerce

By Phillip Thune

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