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
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 / 思科系统公司
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,思科发布了一篇关于Simprints的非接触式人脸生物识别身份技术的博客文章。请看Simprints现在如何在思科的全球影响力资助计划的支持下致力于开源化这一解决方案,并组装具有包容性和道德性的AI培训数据集。
The case for biometric identification
生物识别身份的案例
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、便携的身份证明对于使用诸如医疗保健和人道主义援助等关键服务至关重要。但据估计,全球有8千500万人没有正式身份证明,这使得政府、国际发展组织和非政府组织(NGO)难以确保重要服务和资源到达他们的目标人群。为了解决这个问题,非营利组织Simprints开发了一种新型的益处科技:生物识别身份,以隐私为核心。Simprints的生物识别技术为人们提供了一个安全的数字身份,并确保每一种疫苗、每一美刀和每一种公共产品都不仅能够准确、高效、公平地到达最需要它们的人,而且确实能够到达最需要它们的人。研究表明,数字生物识别注册表的准确度比纸质记录提高了12.5%,而且可以比纸质记录快三倍以上进行搜索。此外,通过生物特征跟踪可靠的健康数据,可以在评估像免疫接种系列这样的活动的成功性方面发挥关键作用。
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.
思科于2018年开始支持Simprints,作为我们“十亿生命”目标的一部分,这是通过社会影响投资来改变十亿个人的生命的雄心勃勃的使命。那一年,Simprints开始测试基于手机摄像头的人脸识别生物识别技术,作为现有指纹生物识别解决方案的替代品,从而使身份识别变得更加容易。在Android手机上运行面部识别技术(在低资源和最后一英里的人道主义情况下通常使用)可消除生产和分发独立硬件的需要,从而降低成本并提高可扩展性。现在,我们的最新全球影响力资助计划正在帮助Simprints推进其道德、包容的人脸识别AI,并将其开源化。
Ethical inclusive AI for face recognition
人脸识别的道德包容性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.
人脸识别技术已经广泛运用于日常技术中,可以在手机、安防摄像头中看到,甚至可以用来标记社交媒体帖子中的朋友。但2019年国家标准与技术研究所(NIST)的一项研究发现,许多商业人脸识别解决方案存在偏见:比起白人,误识别非洲人和亚洲人的面孔的次数多了100倍以上。这种偏见并非是技术本身的问题,而是使用数据集培训AI匹配算法时优势人种和白人占主导的副产品。
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的目标是通过对不同数据集进行严格的培训和测试来减少其人脸识别模型中的偏见。他们还在探索使用通过合成生成的人脸图像训练数据集的应用程序。这种创新的方法可以在皮肤颜色、发型、面部特征和面部表情等特征方面进行无数变化。使用合成数据集,无需从真实个体中捕捉和保留个人身份信息(PII),有助于进一步维护数据隐私。为了在他们的合作伙伴和用户中建立信任和信心,Simprints严格遵守欧盟的《通用数据保护条例》(GDPR)等政策,并不断探索和研究最先进的生物识别模板保护方法,以确保受试者免受生物识别数据的潜在损害或滥用。
Impact across geographies
在地理上影响
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的解决方案已经被人道主义组织用于尼日利亚、索马里和肯尼亚,以防止欺诈,确保现金和援助分配计划到达预定的受益人。Simprints还与各国家卫生部门,包括埃塞俄比亚、乌干达、加纳、孟加拉国和拉贾斯坦邦建立了合作关系,并继续探索扩大覆盖范围。在埃塞俄比亚,他们正在推出用于通过Simprints的指纹扫描仪注册和识别患者的电子社区卫生信息系统(eCHIS)。在乌干达的农村地区,Simprints正在扩大一线社区卫生工作者的能力,以有效地提供可以对抗诸如COVID-19、HPV、乙肝和破伤风等传染病的疫苗。在加纳,他们的创新技术已经在30个卫生中心改善了获取重要的母婴保健和疫苗服务,并计划在2025年之前将覆盖范围扩大至500万儿童。
Why open source?
为什么要开源?
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.
一些技术是如此宝贵,值得为了更好的公共利益而向全人类赠送。这就是为什么在超过30个组织,包括政府、研究人员和隐私专家的支持下,Simprints已经着手让自己的生物识别解决方案完全开源。Simprints旨在通过提供他们的代码使用权,向全世界的开发人员、合作伙伴、倡导者和所有关注全球挑战的人士发出邀请,以此来改变整个贫困对抗的方法并解决它所代表的巨大挑战。通过开源,并与几乎覆盖了世界人口近50%的领先数据采集平台集成,Simprints计划将其影响力提高十倍,并使团队能够为2,000万人提供医疗保健和人道主义援助。
"We value the ongoing support of Cisco enormously as we continue our journey to becoming a digital public good.
“我们非常重视思科的持续支持,因为我们继续努力成为数字公共接口。”
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
最新的全球影响力资助计划对我们来说是具有开创性的。这笔新的资金使我们的团队能够加速将道德AI集成到我们的平台中,并支持我们向开源转移。与思科一起,我们正在放大我们的生物识别工具的影响,帮助确保更多的人能够获得抢救生命所需的健康和援助。—— Tobias Norman,Simprints首席执行官
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.
要了解有关Simprints的更多信息,请访问他们的网站。
请查看思科的10亿生命运动如何支持其他非政府组织,并提早两年达成目标。
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