Activity
Rosie Sherry
CEO & Founder at Ministry of Testing
She/Her
I've been working in the software testing and quality engineering space since the year 2000 whilst also combining it with my love for education and community building.
🎓 MoT-STEC qualified
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The playbook for responsible generative AI development and use
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AI Can't Even Fix a Simple Bug — But Sure, Let's Fire Engineers
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AI researchers ’embodied’ an LLM into a robot – and it started channeling Robin Williams
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The Uncanny Valley of AI Testers
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TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI
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Navigating the Landscape of AI Ethics and Responsibility
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Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements
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Examining the differential risk from high-level artificial intelligence and the question of control
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The risks associated with Artificial General Intelligence: A systematic review
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Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review
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Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study
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Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
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AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures
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Sources of Risk of AI Systems
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The Risks of Machine Learning Systems
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Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
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Sociotechnical Safety Evaluation of Generative AI Systems
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Governance of artificial intelligence: A risk and guideline-based integrative framework
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The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration
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Towards risk-aware artificial intelligence and machine learning systems: An overview
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An Overview of Catastrophic AI Risks
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Introducing v0.5 of the AI Safety Benchmark from MLCommons
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The ethics of advanced AI assistants
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Model evaluation for extreme risks
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Summary Report: Binary Classification Model for Credit Risk
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SafetyBench: Evaluating the Safety of Large Language Models
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Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions
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