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News & Blog Archive
2020-2026

Sony AI

Protecting Creator’s Rights in the Age of AI

The rise of artificial intelligence technologies that can generate songs and mimic musical styles and artists has led to a surge in AI music content...

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AI Ethics

Sony AI’s Alice Xiang Named Among Nature’s “Ones to Watch” for 2026 for Pioneering Work in Advancing Ethical AI

Tokyo, Japan – December 11, 2025 –Alice Xiang, Global Head of AI Ethics at Sony and Lead Research Scientist for AI Ethics at Sony AI, has been named...

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Sony AI

Advancing AI: Highlights from November

November was a pivotal chapter for Sony AI, marked by the debut of our ethics project FHIBE, a consent-driven benchmark years in the making, and a...

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Events

NeurIPS 2025: Sony AI’s Latest ContributionsImaging & Sensing (PPML)AI for Creators

NeurIPS 2025 brings together work across Sony AI that targets real problems in real settings. The research in this roundup focuses on models that...

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Sony AI

The FHIBE Team: Data, Dignity, and the People Who Made It Possible

AI runs on data, but too often, that data has been scraped without consent, assembled without care, and used without accountability. The consequences...

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AI Ethics

Introducing FHIBE: A Consent-Driven Benchmark for AI Fairness Evaluation

Why Fairness Needs a Better Approach Building AI that works fairly across people, places, and contexts globally requires data that represents real...

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Press Release

Groundbreaking Fairness Evaluation Dataset From Sony AI Now Available as Global Benchmark for Ethical Data Collection and Responsible AI Development

First publicly available, globally diverse, consent-based human image dataset for evaluating bias across a wide variety of computer vision tasks

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AI Ethics

What If Fairness Started at the Dataset Level?

At Sony AI, we believe ethical AI starts with the inputs. And that means reexamining how datasets are collected and shared. Our research has...

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Sony AI

Advancing AI: Highlights from October

October marked another milestone month for Sony AI, showcasing impactful work across computer vision, generative modeling, and human–AI perception....

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