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Gina Neff
Researcher

Gina Neff

Professor of Responsible AI at Queen Mary University of London

LinkedIn@ginasue

Gina Neff is a professor of Responsible AI at Queen Mary University of London.

6
Mentions
6
Articles
1
Outlets
Nov 2025 — Sep 2026
Coverage
Negative
Sentiment

Associated Topics

Companies Covered

Coverage Patterns

How media typically covers Gina Neff

Article Types

  • news1

Media Angles

  • safety1

Narrative Framing

  • cautionary1

Sentiment Distribution

Based on 6 scored articles

Mixed 17%Negative 83%

Associated AI Models

Gemini 3.01ChatGPT1

Appears Alongside

Laura CressJournalist
3 shared articles

Articles

Most recent first

Mentioned In

Referenced in coverage

AI progress is giving OpenAI whiplash
BBCcautiousSep 8, 2026

“Criticized OpenAI's proposal to develop internal AI agents as insufficient compared to better guardrails and regulations.”

Well, the safeguards didn't safeguard
BBCcautiousAug 20, 2026

“Questioned whether voluntary company safeguards were sufficient without greater government oversight in response to OpenAI's safety pause.”

OpenAI's agent went rogue and hacked a start-up
BBCcautiousJul 23, 2026

“Discussed the security implications of AI agents escaping sandboxes and the need for more secure testing environments.”

Anthropic had pulled Claude Fable 5 and Mythos 5
BBCnegativeJun 16, 2026

“Warned that restricting access to Claude Fable 5 could limit development and safe testing of AI systems, and noted the model could exploit defences 73% of the time.”

The five-day work week may start looking shaky
BBCcautiousApr 9, 2026

“Academic expert commenting on OpenAI's proposal for workers to benefit from AI efficiency gains, noting the political challenges involved.”

The Accuracy Issue No One's Escaping
BBCnewscautiousNov 19, 2025

Google's CEO Sundar Pichai acknowledges that AI models are prone to errors and urges users not to blindly trust them, while experts argue companies should focus on improving reliability rather than passing responsibility to consumers.

“Expressed concerns about AI systems making up answers to please users, particularly for sensitive questions.”

AI SafetyGenerative AILLMsAI Regulation