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Cisco NGO Partner Simprints To Advance Ethical, Inclusive AI for Face Recognition Biometrics

Cisco NGO Partner Simprints To Advance Ethical, Inclusive AI for Face Recognition Biometrics

思科合作伙伴Simprints推進人臉識別生物識別的道德和包容性人工智能
Accesswire ·  21:15

By Sue-Lynn Hinson

作者:Sue-Lynn Hinson

NORTHAMPTON, MA / ACCESSWIRE / July 18, 2024 / Cisco Systems Inc.

ACCESSWIRE / 2024年7月18日 / MA北安普敦 / 思科系統公司

In 2021, Cisco published a blog post on Simprints' touchless, facial biometric ID technology. See how Simprints is now working to open-source this solution and assemble inclusive and ethical AI training datasets with support from Cisco's Global Impact Grant program.

2021年,思科發佈了一篇關於Simprints的非接觸式人臉生物識別身份技術的博客文章。請看Simprints現在如何在思科的全球影響力資助計劃的支持下致力於開源化這一解決方案,並組裝具有包容性和道德性的AI培訓數據集。

The case for biometric identification

生物識別身份的案例

Safe, reliable, and portable forms of ID are necessary to access critical services like healthcare and humanitarian aid. But an estimated 850 million people globally lack formal ID, making it challenging for governments, international development organizations, and non-governmental organizations (NGOs) to ensure essential services and resources reach their target populations. To address this problem, nonprofit Simprints has developed a new kind of technology for good: biometric ID, with privacy at its core. Simprints' biometric solutions give people a safe digital identity and ensure every vaccine, every dollar, and every public good not only reaches those who need them most, but does so accurately, efficiently, and equitably. Research shows a digital biometric registry is 12.5 percent more accurate and can be searched three times faster than paper records. And, biometrically tracking reliable health data over time can play a vital role in assessing the success of campaigns like immunization series.

安全可靠、便攜的身份證明對於使用諸如醫療保健和人道主義援助等關鍵服務至關重要。但據估計,全球有8千500萬人沒有正式身份證明,這使得政府、國際發展組織和非政府組織(NGO)難以確保重要服務和資源到達他們的目標人群。爲了解決這個問題,非營利組織Simprints開發了一種新型的益處科技:生物識別身份,以隱私爲核心。Simprints的生物識別技術爲人們提供了一個安全的數字身份,並確保每一種疫苗、每一美刀和每一種公共產品都不僅能夠準確、高效、公平地到達最需要它們的人,而且確實能夠到達最需要它們的人。研究表明,數字生物識別註冊表的準確度比紙質記錄提高了12.5%,而且可以比紙質記錄快三倍以上進行搜索。此外,通過生物特徵跟蹤可靠的健康數據,可以在評估像免疫接種系列這樣的活動的成功性方面發揮關鍵作用。

Cisco began supporting Simprints in 2018 as part of our One Billion Lives goal-an ambitious mission to change one billion individual lives through social impact investments. That year Simprints started testing mobile phone camera-based facial biometrics as an alternative to their existing fingerprint biometric solution, making identification all the more accessible. Operating facial biometrics on Android phones (used commonly in low-resource and last-mile humanitarian contexts) removes the need to produce and distribute separate hardware, thereby cutting costs and increasing scalability. Now, our latest Global Impact Grant is helping Simprints advance their ethical, inclusive face recognition AI and make it open source.

思科於2018年開始支持Simprints,作爲我們“十億生命”目標的一部分,這是通過社會影響投資來改變十億個人的生命的雄心勃勃的使命。那一年,Simprints開始測試基於手機攝像頭的人臉識別生物識別技術,作爲現有指紋生物識別解決方案的替代品,從而使身份識別變得更加容易。在Android手機上運行面部識別技術(在低資源和最後一英里的人道主義情況下通常使用)可消除生產和分發獨立硬件的需要,從而降低成本並提高可擴展性。現在,我們的最新全球影響力資助計劃正在幫助Simprints推進其道德、包容的人臉識別AI,並將其開源化。

Ethical inclusive AI for face recognition

人臉識別的道德包容性AI

Face recognition is already widely incorporated into everyday technology, seen in cell phones, security cameras, and even used to tag friends in social media posts. But a 2019 National Institute of Standards and Technology (NIST) that many commercial face recognition solutions exhibit bias; mis-identifying African and Asian faces up to 100 times more than Caucasian faces. This bias, rather than an issue with the technology itself, is a byproduct of training AI matching algorithms with datasets that are predominantly male and Caucasian.

人臉識別技術已經廣泛運用於日常技術中,可以在手機、安防攝像頭中看到,甚至可以用來標記社交媒體帖子中的朋友。但2019年國家標準與技術研究所(NIST)的一項研究發現,許多商業人臉識別解決方案存在偏見:比起白人,誤識別非洲人和亞洲人的面孔的次數多了100倍以上。這種偏見並非是技術本身的問題,而是使用數據集培訓AI匹配算法時優勢人種和白人佔主導的副產品。

Simprints aims to reduce bias in their face recognition models through rigorous training and testing on diverse data sets. They are also exploring the application of training datasets with synthetically-generated face images, an innovative approach that enables countless variations on characteristics like skin color, hair style, facial features, and facial expressions. In using a synthetic dataset, there is no need to capture and retain personally identifiable information (PII) from real individuals, helping to further maintain data privacy. To foster trust and confidence among their partners and users, Simprints strictly adheres to policies such as the EU's General Data Protection Regulation (GDPR), and continuously explores and researches state-of-the-art methods in biometric template protection to ensure subjects are shielded from potential harm or misuse of their biometric data.

Simprints的目標是通過對不同數據集進行嚴格的培訓和測試來減少其人臉識別模型中的偏見。他們還在探索使用通過合成生成的人臉圖像訓練數據集的應用程序。這種創新的方法可以在皮膚顏色、髮型、面部特徵和麪部表情等特徵方面進行無數變化。使用合成數據集,無需從真實個體中捕捉和保留個人身份信息(PII),有助於進一步維護數據隱私。爲了在他們的合作伙伴和用戶中建立信任和信心,Simprints嚴格遵守歐盟的《通用數據保護條例》(GDPR)等政策,並不斷探索和研究最先進的生物識別模板保護方法,以確保受試者免受生物識別數據的潛在損害或濫用。

Impact across geographies

在地理上影響

Simprints' solutions have been used by humanitarian organizations working in Nigeria, Somalia and Kenya to prevent fraud and ensure that cash and aid distribution programs reach the intended recipients. Simprints has also partnered with various international Ministries of Health including Ethiopia, Uganda, Ghana, Bangladesh, and Rajasthan, and continues to explore expansion into new geographies. In Ethiopia, they are engaged in the ground-breaking roll-out of the electronic community health information system (eCHIS), through which patients are registered and identified by Simprints' fingerprint scanners. In rural Uganda, Simprints is expanding the capacity of frontline community health workers to effectively deliver vaccines that fight infectious diseases such as COVID-19, HPV, hepatitis B, and tetanus. In Ghana, their ground-breaking technology is already improving access to critical maternal and vaccine services in 30 health centers, with a plan to scale reach across 500,000 children by 2025.

Simprints的解決方案已經被人道主義組織用於尼日利亞、索馬里和肯尼亞,以防止欺詐,確保現金和援助分配計劃到達預定的受益人。Simprints還與各國家衛生部門,包括埃塞俄比亞、烏干達、加納、孟加拉國和拉賈斯坦邦建立了合作關係,並繼續探索擴大覆蓋範圍。在埃塞俄比亞,他們正在推出用於通過Simprints的指紋掃描儀注冊和識別患者的電子社區衛生信息系統(eCHIS)。在烏干達的農村地區,Simprints正在擴大一線社區衛生工作者的能力,以有效地提供可以對抗諸如COVID-19、HPV、乙肝和破傷風等傳染病的疫苗。在加納,他們的創新技術已經在30個衛生中心改善了獲取重要的母嬰保健和疫苗服務,並計劃在2025年之前將覆蓋範圍擴大至500萬兒童。

Why open source?

爲什麼要開源?

Some technology is so valuable, it's worth gifting to humanity for the greater good. This is why with support from more than 30 organizations, including governments, researchers, and privacy experts, Simprints has embarked on a journey to make their biometric solutions fully open source. With a mission to transform the way the world fights poverty, Simprints is making their code available to the world and inviting developers, partners, advocates, and all those passionate about addressing global challenges to join their collaborative community. By going open source, and integrating with the leading data collection platforms that serve nearly 50% of the world's population, Simprints envisions to increase their impact tenfold and empower teams to reach 20 million people with healthcare and humanitarian aid.

一些技術是如此寶貴,值得爲了更好的公共利益而向全人類贈送。這就是爲什麼在超過30個組織,包括政府、研究人員和隱私專家的支持下,Simprints已經着手讓自己的生物識別解決方案完全開源。Simprints旨在通過提供他們的代碼使用權,向全世界的開發人員、合作伙伴、倡導者和所有關注全球挑戰的人士發出邀請,以此來改變整個貧困對抗的方法並解決它所代表的巨大挑戰。通過開源,並與幾乎覆蓋了世界人口近50%的領先數據採集平台集成,Simprints計劃將其影響力提高十倍,並使團隊能夠爲2,000萬人提供醫療保健和人道主義援助。

"We value the ongoing support of Cisco enormously as we continue our journey to becoming a digital public good.

“我們非常重視思科的持續支持,因爲我們繼續努力成爲數字公共接口。”

The latest Global Impact Grant is game-changing for us. This new funding enables our team to accelerate the integration of ethical AI into our platforms and supports our move to open source. Together with Cisco, we're amplifying the impact of our biometric tools, helping ensure thousands more people across the world can access life-saving health and aid." -Toby Norman, Simprints CEO

最新的全球影響力資助計劃對我們來說是具有開創性的。這筆新的資金使我們的團隊能夠加速將道德AI集成到我們的平台中,並支持我們向開源轉移。與思科一起,我們正在放大我們的生物識別工具的影響,幫助確保更多的人能夠獲得搶救生命所需的健康和援助。—— Tobias Norman,Simprints首席執行官

For more information:

欲了解更多信息:

  • To learn more about Simprints, visit their website.

  • See how Cisco's One Billion Lives campaign has supported other NGOs and reached its goal over two years early.

  • 要了解有關Simprints的更多信息,請訪問他們的網站。

  • 請查看思科的10億生命運動如何支持其他非政府組織,並提早兩年達成目標。

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