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IAS ANNOUNCES INDUSTRY-FIRST DEEPFAKE MEASUREMENT CAPABILITIES

IAS ANNOUNCES INDUSTRY-FIRST DEEPFAKE MEASUREMENT CAPABILITIES

IAS宣佈行業板塊首創的深度假象度量能力。
PR Newswire ·  06/04 19:30

Innovation Builds Upon IAS's AI-Driven Misinformation Reporting To Safeguard Brands Ahead of U.S. Elections

創新在IAS的以人工智能爲驅動的虛假信息報告基礎上,保護品牌在美國大選之前最前沿。

NEW YORK, June 4, 2024 /PRNewswire/ -- Integral Ad Science (Nasdaq: IAS), a leading global media measurement and optimization platform, today announced availability of the industry's first deepfake measurement offering, enabling advertisers to further verify the safety and suitability of their digital media investments through trusted and safe AI-powered technology. Now in Beta testing, the new offering helps advertisers avoid running adjacent to deepfake content as part of the Global Alliance for Responsible Media (GARM)-defined Brand Safety Floor and Suitability Framework misinformation category.

2024年6月4日,紐約 /美通社/-- 全球領先的媒體測量和優化平台Integral Ad Science(納斯達克Nasdaq:IAS)宣佈推出行業首個深度僞造(deepfake)測量產品,通過受信任而安全的以人工智能爲驅動的技術,幫助廣告主進一步驗證其數字媒體投資的安全性和適宜性。這一全新產品正在進行測試版,有助於廣告主避免在全球負責任媒體聯盟(GARM)定義的品牌安全底線和適宜性框架虛假信息類別中與深度僞造相關的運行。

"Marketers are looking to leverage new technologies to detect and mitigate the harmful effects of deepfakes and misinformation, and we're excited to offer this latest innovation ahead of the U.S. elections," said Lisa Utzschneider, CEO of IAS. "Marketers need reliable partners and data to help them safeguard their brands, and our deepfake detection offering will empower them with the actionable data needed to address this rising threat."

“營銷人員正在尋求利用新技術檢測和減輕深度僞造和虛假信息的有害影響,我們很高興在美國選舉之前提供這一最新創新,”IAS首席執行官莉莎·烏茨施奈德(Lisa Utzschneider)說。“營銷人員需要可靠的合作伙伴和數據來幫助他們保護品牌,而我們的深度僞造檢測產品將賦予他們可操作的數據以應對這種威脅。”

Deepfake signals, combined with IAS's misinformation categorization capability as part of IAS's industry-leading brand safety products, use AI-driven Multimedia Technology with frame-by-frame analysis to provide the most reliable and accurate data in the industry. IAS's latest innovation aims to detect visual manipulations, including faceswaps in videos and images synthesized by Generative AI technologies, and to protect the authenticity of content aligned to the GARM framework.

深度僞造信號與IAS作爲行業領先的品牌安全產品的虛假信息分類能力相結合,使用以人工智能驅動的多媒體技術進行逐幀分析,提供行業中最可靠和準確的數據。 IAS的最新創新旨在檢測視覺操縱,包括視頻中的面部交換和由生成式AI技術合成的圖像,並保護與GARM框架對齊的內容的真實性。

"IAS Multimedia Technology safeguards and scales brands across channels, with up to 74% greater accuracy. We are dedicated to benchmarking our deepfake detection technology against cutting-edge open source frameworks and models along with rigorous testing within our own classification framework," said Kumaresh Singh, SVP, Data Science of IAS. "We are excited to continue developing video-first solutions in close partnership with our customers."

“IAS Multimedia Technology在跨渠道上保護和擴大品牌,準確度高達74%。我們致力於將我們的深度僞造檢測技術與先進的開放源代碼框架和模型進行基準測試,以及在我們自己的分類框架內進行嚴格測試,”IAS數據科學高級副總裁庫馬雷什·辛格(Kumaresh Singh)說。“我們很高興繼續與我們的客戶密切合作,開發以視頻爲主的解決方案。”

The deepfake technology is currently in Beta and available now for select US advertisers. To learn more about IAS's misinformation measurement efforts, please visit:

該深度僞造技術目前正處於測試版,並且現已提供給部分美國廣告主使用。要了解IAS的虛假信息測量工作,請訪問:

About Integral Ad Science
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

關於Integral Ad Science
Integral Ad Science(IAS)是一家領先的全球媒體測量和優化平台,爲全球最大的廣告商,出版商和媒體平台提供業內最具行動力的數據,以推動卓越的結果。IAS的軟件提供了全面且豐富的數據,從而確保廣告在安全合適的環境中被真實的人看到,同時提高廣告主的廣告回報率和出版商的收益。我們的使命是成爲數字媒體質量信任和透明度的全球基準。有關更多信息,請訪問integralads.com。

MEDIA CONTACT: [email protected]

媒體聯繫方式:[email protected]

SOURCE Integral Ad Science, Inc.

來源:Integral Ad Science,Inc。

譯文內容由第三人軟體翻譯。


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