Researchers from the Sony AI's Ethics team will be in Dublin for the IAPP AI Governance Global Europe conference to introduce FHIBE, the first human-centric AI evaluation dataset made with ethics in mind: https://bit.ly/3S8zYhC In this session, you'll: ✅ Understand the urgency around ethical & regulatory frameworks in AI ✅ Discover a practical tool to identify & mitigate model bias ✅ Get insights on curating datasets aligned with today's requirements FHIBE serves as an example of responsible protocols across the data lifecycle, from consent-based sourcing to annotation, privacy preservation, and bias evaluation. Don't miss this opportunity to learn from our leading AI researchers and developers. Event Details: Date: June 3 Time: 14:45 GMT Location: Dublin Register now: iapp.org/AIGG26 Sony AI Ethics Team Speakers: Austin Hoag, Staff AI Engineer Victoria Matthews, Senior AI Policy Specialist Wiebke Hutiri, Senior Research Scientist Lilly Taranto, Director & Senior Privacy Manager
SonyAI
リサーチサービス
Sony AI is Sony's flagship AI organization whose mission is to "Unleash Human Imagination and Creativity with AI."
概要
Sony AI is Sony's flagship AI organization whose mission is to "Unleash Human Imagination and Creativity with AI".
- ウェブサイト
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https://www.ai.sony/
SonyAIの外部リンク
- 業種
- リサーチサービス
- 会社規模
- 社員 51 - 200名
- 本社
- Tokyo
- 種類
- 上場企業
- 創立
- 2020
場所
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プライマリ
道順を表示
1-7-1 Konan
Minato-ku
Tokyo、1080075、JP
SonyAIの社員
アップデート
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What if you could re-shoot the camera path after you've already recorded? Vid-CamEdit makes post-capture camera trajectory editing possible, keeping scenes spatially coherent, even across large viewpoint changes. 👉 Explore the research: https://bit.ly/4tTmPpX 👉 Read the full blog post: https://bit.ly/3PpkNju
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SonyAIさんが再投稿しました
Are you a PhD working on gen AI evaluation, guardrailing or responsible AI? Join me and my amazing team for a 3 month internship and the opportunity to make a tangible impact on ethical AI creation & protection in the creative industries. Background in VLMs or NLP is a strong advantage. We are open to candidates in the EU, UK and US. Here’s the link to the EU application: https://lnkd.in/dKhmK-RX #aiethics #ai #evaluation #guardrails #protectingcreators Alice Xiang, Morgan Klaus Scheuerman, Shruti Nagpal, Yunhao Ba, Julienne LaChance, Sabine Wildemann, Justinas Mišeikis
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ASR hallucinations are risky precisely because they look confident. This research reduces Whisper's hallucinations at the source, improving encoder robustness under noise and aligning decoder behavior to a clean-audio teacher. 👉 Explore the research: https://lnkd.in/gxi-6NTe 👉 Read the Blog: https://lnkd.in/gcCi6XDq
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🔊 Sony AI has released Woosh, a sound effect foundation model built for the professionals who create the sonic worlds behind games, film, and interactive media. We sat down with some of the team behind it to find out how it was built and why it matters. Most generative audio models are trained on general public data. Woosh was built differently. The model was optimized specifically for sound effects, trained on professionally curated libraries, and evaluated against the vocabulary and annotation standards that sound designers actually use. The result is a model that understands the difference between a sound effect and an audio scene, and performs accordingly. The public release includes text-to-audio and video-to-audio generation models, open weights, and inference code for non-commercial use. A plugin for digital audio workstations is in development, with support for variation generation, inpainting, and personalization planned as the ecosystem grows. 👉 Read the full interview with Hakim MISSOUM and Marc F. on the Sony AI blog: https://bit.ly/4wzj4Zk To explore the model weights and demo samples directly, visit: https://lnkd.in/gF5_QxGG And to access the Woosh-Flow Private, please visit: https://lnkd.in/gW2AwpvK #SonyAI #AIResearch #SoundDesign #GenerativeAI #AudioAI
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One policy. 100+ unseen vehicles. No retraining required. SPARC learns driving strategies that transfer across vastly different vehicle dynamics — without growing in size or complexity. 👉 Explore the research: https://lnkd.in/gWDbXGX3
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Sony AI's Tiffany Georgievski joins the Federal Bar Association's IP Section for a panel on how AI is reshaping intellectual property law. Tiffany will discuss the legal and ethical considerations of building AI datasets, such as consent, privacy, intellectual property, and dataset diversity through the lens of FHIBE, Sony AI's Fair Human-Centric Image Dataset for AI Benchmarking. May 13 | Hosted by the Federal Bar Association Register here: https://bit.ly/48YWY8C #SonyAI #AIGovernance #FHIBE #IPLaw #AIEthics
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Our data powers the AI revolution. Yet, for most people, it has become functionally worthless. In a new op-ed for TIME, Alice Xiang, Global Head of AI Governance at Sony and Lead Research Scientist SonyAI, shares her perspective on “data nihilism.” As she writes, "our data means everything to AI developers yet almost nothing to us,” not because it lacks value, but because people feel powerless to stop it from being collected. She argues this is enabling one of the largest wealth transfers in modern history. The alternative is not to slow AI. It is to build it differently, on a foundation of consent, respect, and shared value. 👉 Read the full op-ed: https://bit.ly/4wjSmE8 #SonyAI #AIGovernance #AIEthics #ResponsibleAI
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Sony AI is presenting 11 accepted papers at ICASSP 2026 in Barcelona May 4-8. The research spans music understanding, generative audio, audio-visual alignment, and data quality. Each paper addresses a different pressure point: what models actually know, where benchmarks fall short, and how training methods can better reflect the way music is made. 👉 Read the full roundup at the link: https://bit.ly/4dsZPsX #SonyAI #AIResearch #ICASSP2026 #AudioAI #MachineLearning #MusicTechnology
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Lorenzo Servadei, Head of AI for Chip Design at Sony AI, sat down with Silicon Semiconductor to discuss how AI-powered EDA is reshaping semiconductor design. The interview covers two recent research contributions: GENIE-ASI and Schemato. GENIE-ASI is a training-free, LLM-based method for analog subcircuit identification. It produces human-readable reasoning alongside executable Python from just a handful of examples. Schemato translates netlists into LTSpice schematics. Engineers can load, inspect, and simulate them directly. Lorenzo also reflects on the trade-off between automation and human oversight. He shares his view on where AI can push the boundaries of chip design over the next five years. 👉 Read the full interview: https://lnkd.in/gHfCvNVC #SonyAI #AIResearch #ChipDesign #EDA #MachineLearning #Semiconductors
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