Our 2025 Year in Review is here. This year we advanced responsible data practices with #FHIBE, introduced new tools for music and media creation, strengthened sensing and imaging pipelines, and expanded #RL research from #GTSophy to adaptive agents. Read the full recap: bit.ly/3YG9eoN

💫Proud to share that #FHIBE has been featured on the cover of @nature.com. The issue spotlights images from our globally diverse, consent-driven dataset designed to benchmark fairness in AI. Read the full feature via Nature: bit.ly/4pIpcu3

Alice Xiang, Global Head of AI Governance at Sony Group Corporation, and Lead Research Scientist at Sony AI, on FHIBE: Global diversity. True consent. Scientific rigor.
Watch A Fair Reflection + explore fairnessbenchmark.ai.sony
#FHIBE #FairAI #AIFairness #EthicalAI #SonyAI

Built with consent, FHIBE is a new benchmark for fairness in vision tasks. 🎬 Our short film A Fair Reflection shows why that matters. Explore the film and benchmark at fairnessbenchmark.ai.sony
#FHIBE #FairnessInAI #EthicalAI

What does it take to build a #dataset with #consent, diversity & transparency at its core?
Discover FHIBE—the Fair Human-Centric Image Benchmark—and the insights from the team who built it: bit.ly/3LObF5r
#SonyAI #FHIBE #EthicalAI #ResponsibleAI

Meet #FHIBE — just published in @nature.com.
A Fair Human-Centric Image Benchmark built to reflect us all and expose bias in the data behind AI vision systems.
Watch A Fair Reflection → fairnessbenchmark.ai.sony
#AIEthics #FairAI #SonyAI

Sony AI’s FHIBE — just published in Nature — sets a new benchmark for evaluating fairness in AI models for computer vision. Hear from Michael Spranger in A Fair Reflection, our short film on FHIBE’s creation → fairnessbenchmark.ai.sony
#FHIBE #EthicalAI #SonyAI

🚨 Big news: FHIBE is here.
Sony AI’s Fair Human-Centric Image Benchmark, published in Nature, is the first globally diverse, consent-driven dataset to benchmark AI fairness.

Explore the research + dataset: bit.ly/3JKaqnm
#FHIBE #AIethics #SonyAI

Fair human-centric image dataset for ethical AI benchmarking - Nature The Fair Human-Centric Image Benchmark (FHIBE, pronounced ‘Feebee’)—an image dataset that implements best practices for consent, privacy, compensation, safety, diversity and utility—can be used respon...

Important image dataset #FHIBE obtained with informed consent, compensation, safety measures, bias reduction and collection cost transparency, demonstrating that “implementing core ethical considerations in practice is possible”.

#ethicaldatacollection

Sony AI發表可評斷AI是否具偏見的測試資料集「FHIBE」，採全球80國「基於同意」影像打造測試結果顯示現有AI模型均未完全達標 Sony AI稍早發表了一套名為「FHIBE」 (以人為本的公平圖像基準,Fair Human-Centric […]

Sony AI Releases Revolutionary Dataset for Fairness in AI Visual Models Sony AI launches the Fair Human-Centric Image Benchmark (FHIBE) to improve ethical data practices in AI visual applications. This groundbreaking dataset offers a diverse, consent-based resource for developers.

Sony AI Releases Revolutionary Dataset for Fairness in AI Visual Models #Japan #Tokyo #AI_Ethics #Sony_AI #FHIBE