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Ashley Belanger

arstechnica.comUSA
Interested in
AI PolicyData CentersBig TechAutonomous Vehicles
About

Ashley Belanger follows how emerging technology policies reshape daily life, focusing on AI infrastructure, Big Tech power, online platforms, and automated systems. She is a senior policy reporter at Ars Technica with 20 years of reporting experience. Her coverage treats the automotive sector as one part of a broader story about AI, safety, and legal accountability, rather than a standalone industry beat.

AI infrastructure, data centers, and local backlash

Belanger’s most distinctive work traces the growth of AI data centers and the friction they create in towns facing pollution, noise, and resource strain. She has covered Amazon’s $1 billion plan to ease data center backlash, highlighting how corporate commitments can still trigger criticism over air and water impacts.

A cluster of her stories follows protests and permitting fights that have blocked or reshaped hundreds of billions of dollars in data center projects, from moratoria on new construction to partial cancellations under sustained community pressure. She reports closely on enforcement, documenting cases where regulators fine operators after drone or satellite imagery exposes unpermitted gas generators and other violations.

Across this coverage she repeatedly foregrounds neighbors, local officials, and civil rights groups, treating data centers as a public health and democracy issue as much as an engineering one.

AI governance, Big Tech legal fights, and media impacts

Belanger also reports on AI governance at the national and international level, zeroing in on how political choices shape technical safeguards. Her pieces on US plans to manage AI risks explain how voluntary safety audits and best-practice meetings between major firms leave key obligations unenforced and some experts sidelined.

She examines the geopolitical frame of an “AI race” with China, showing how rivalry rhetoric can complicate proposals for shared safety alert systems and undermine trust-building efforts. Another strand of her reporting draws on court filings and internal emails from Microsoft and OpenAI, detailing how executives themselves describe AI scraping of news as “the largest theft of labor in human history” and an existential threat to publishers. In these stories she connects AI policy debates to the future of independent media, asking what happens when the same systems that power search and assistants cannibalize the business models that sustain reporting.

Online platforms, content harms, and emerging AI gadgets

Belanger’s coverage of platforms and consumer AI devices focuses on privacy, harassment, and the difficulty of enforcing guardrails at scale. She reports on Meta’s AI glasses and companion apps, from software that lets users build interactive “gizmos” to changes intended to curb nonconsensual recording, pairing technical descriptions with the lived experience of people who suddenly find themselves constantly filmed.

Her work on Meta’s privileged AI assistant and associated vulnerabilities explains how relatively simple exploits can fully compromise an agent, raising fresh questions about what counts as “secure” in AI consumer products. In other articles she documents how ads for apps that nudify teens’ photos were allowed to spread on major platforms, and how EU regulation forces companies like Meta to revisit recommendation and moderation systems.

She extends this focus to social networks more broadly, following researchers who study online hate and continue scrutinizing X even under threat of deportation, underscoring the personal risk required to probe platform harms.

Investigative science, social policy, and automated systems

Belanger’s broader investigative background helps explain the way she approaches technology stories today.

Her professional bio describes her as an investigative science journalist tracking how science informs social policy, with recent interest in AI’s social impacts and Big Tech legal battles. Selected work outside Ars Technica includes deep reporting on domestic and sexual violence, child marriage, and school shootings, in which she connects public health studies and legal frameworks to survivors’ experiences and policy failures. She has written on topics such as financial abuse portrayed in popular culture, the disappearance and return of regional wildlife, and the shadow pandemic of domestic violence during COVID outbreaks, always tying scientific or policy details back to individual lives.

At Ars Technica, this lens carries over into stories on AI “tarpits” built to trap scrapers, copyright disputes around AI-generated art, and the real-world consequences of ChatGPT hallucinations, as well as coverage of Tesla’s Autopilot crash litigation and sales performance around vehicles like Cybertruck. Across automotive, AI, and social policy stories, her reporting is distinguished by a consistent effort to show who is affected, how systems fail, and which levers of law and technology might change the outcome.

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