MongoDB é membro fundador do AI Safety Institute Consortium do NIST

Mat Keep and Rachelle Palmer
February 8, 2024 | Updated: March 4, 2024

O National Institute of Standards and Technology (NIST) do Departamento de Comércio dos Estados Unidos está estabelecendo o Artificial Intelligence Safety Institute Consortium (AISIC) para apoiar o desenvolvimento e a implantação de IA segura e confiável.

Juntamente com o MongoDB do setor de tecnologia, o Consórcio inclui a Amazon.com, AMD, Anthropic, Apple, Cohere, GitHub, Google, Hugging Face, Inflection AI, Intel, Meta, Microsoft, Nvidia, OpenAI e Salesforce. No total o Consórcio reúne mais de 200 criadores e usuários de IA, acadêmicos, pesquisadores do governo e do setor e organizações da sociedade civil. Juntos, os membros estão focados na P&D necessária para permitir sistemas de IA seguros e confiáveis e sustentar padrões e políticas no futuro. Você pode ver a lista completa dos membros atuais do Consórcio no site do NIST.

O Consórcio ajudará no desenvolvimento de diretrizes e padrões baseados em ciência e apoiados empiricamente para medição e política de IA, estabelecendo a base para a segurança da Inteligência Artificial em todo o mundo. Isso ajudará a preparar os EUA para abordar os recursos da próxima geração dos modelos ou sistemas de IA, desde modelos de eficiência até novas aplicações e abordagens, com estratégias apropriadas de gestão de riscos.

A secretária do Departamento de Comércio dos EUA, Gina Raimondo, comentou: "O governo dos Estados Unidos tem um papel importante para desempenhar na definição dos padrões e no desenvolvimento das ferramentas necessárias para diminuir os riscos e aproveitar o imenso potencial da inteligência artificial. O presidente Biden nos orientou a utilizar todos os recursos disponíveis para alcançar dois objetivos principais: definir padrões de segurança e proteger nosso ecossistema de inovação. É exatamente isso que o AI Safety Institute Consortium dos EUA está estruturado para nos ajudar a fazer. Por meio de um Decreto do presidente Biden, garantiremos que os EUA estejam na frente dessa empreitada e, trabalhando com esse grupo de líderes da indústria, da sociedade civil e da academia, juntos poderemos enfrentar esses desafios para desenvolver as medidas e os padrões dos quais precisamos para manter a vantagem competitiva dos EUA e desenvolver a IA de forma responsável."

Contribuições do MongoDB para o Consórcio

Aproveitando a experiência adquirida trabalhando com startups, empresas e governos construindo e implantando aplicativos baseados em IA, o MongoDB contribuirá com sua experiência e recursos em vários campos, incluindo:

  • Bancos de dados multi-cloud e distribuídos globalmente, juntamente com tecnologia de pesquisa e recuperação vetorial, como o Atlas Vector Search do MongoDB, que alimenta aplicativos de IA em escala.

  • Engenharia de experiência do desenvolvedor adquirida com a criação de aplicativos que se integram com o ecossistema de modelos e estruturas de IA em todas as linguagens de programação mais populares.

  • Governança de dados e as tecnologias de segurança cibernética, como a inovadora Queryable Encryption, protegem os dados e preservam a privacidade.

"Acreditamos que a tecnologia orientada por software e dados torna o mundo um lugar melhor e vemos nossos clientes construindo aplicativos modernos alcançando isso todos os dias", comentou Lena Smart, Diretora de Segurança da Informação do MongoDB. "Novas tecnologias como IA generativa podem ter um benefício imenso para a sociedade, mas devemos garantir que os sistemas de IA sejam construídos e implementados usando padrões que ajudem a garantir a operação de forma segura e sem prejudicar a população. Ao apoiar o Artificial Intelligence Safety Institute Consortium dos EUA como um membro fundador, o objetivo do MongoDB é usar o rigor científico, nossa experiência no setor e uma abordagem centrada no ser humano para orientar as organizações para testar e implantar com segurança sistemas de IA confiáveis sem sufocar a inovação."

Além do envolvimento com o AISIC, o MongoDB Atlas para o programa do governo permite que os departamentos do governo dos EUA acelerem seu período de preparação com um banco de dados projetado para a produtividade do desenvolvedor e suporte amplo para a carga de trabalho. O MongoDB Atlas fornece segurança de nível governamental em um ambiente dedicado e FedRAMP Moderate Authorized.

O papel do NIST na definição de padrões tecnológicos

Como parte do Departamento de Comércio dos EUA, o NIST desempenha um papel fundamental no desenvolvimento de tecnologia, métricas e padrões voltados para aprimorar a segurança econômica e melhorar a qualidade de vida dos cidadãos americanos. Através das suas atividades rigorosas de pesquisa e desenvolvimento, o NIST fornece orientação essencial e suporte para as indústrias e a ciência, garantindo a confiabilidade e precisão das medições e padrões essenciais para inovação e competitividade no mercado global.

O NIST não avalia produtos comerciais sob este Consórcio e não endossa nenhum produto ou serviço usado. Mais informações sobre esse Consórcio podem ser encontradas em: https://www.federalregister.gov/documents/2023/11/02/2023-24216/artificial-intelligence-safety-institute-consortium

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Announcing MongoDB as a Founding Member of the NIST AI Safety Institute Consortium

This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) is establishing the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) to support the development and deployment of safe and trustworthy AI. Alongside MongoDB from the technology sector, the Consortium includes Amazon.com, AMD, Anthropic, Apple, Cohere, GitHub, Google, Hugging Face, Inflection AI, Intel, Meta, Microsoft, Nvidia, OpenAI, and Salesforce. In total, the Consortium brings together over 200 AI creators and users, academics, government and industry researchers, and civil society organizations. Together the members are focused on the R&D necessary to enable safe, trustworthy AI systems and underpin future standards and policies. You can see the complete list of current Consortium members on the NIST website . The Consortium will collaborate to develop science-based and empirically backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world. This will help prepare the U.S. to address the capabilities of the next generation of AI models or systems, from frontier models to new applications and approaches, with appropriate risk management strategies. Secretary of U.S. Department of Commerce Gina Raimondo said, “The U.S. government has a significant role to play in setting the standards and developing the tools we need to mitigate the risks and harness the immense potential of artificial intelligence. President Biden directed us to pull every lever to accomplish two key goals: set safety standards and protect our innovation ecosystem. That’s precisely what the U.S. AI Safety Institute Consortium is set up to help us do. Through President Biden’s landmark Executive Order, we will ensure America is at the front of the pack—and by working with this group of leaders from industry, civil society, and academia, together we can confront these challenges to develop the measurements and standards we need to maintain America’s competitive edge and develop AI responsibly.” MongoDB’s contributions to the Consortium Capitalizing on the experience gained working with startups, enterprises, and governments building and deploying AI-powered applications , MongoDB will contribute its expertise and resources across multiple fields including: Multi-cloud, globally distributed databases along with vector search and retrieval technology such as MongoDB Atlas Vector Search that power AI apps at scale. Developer experience engineering gained from building applications that integrate with the ecosystem of AI models and frameworks across all of the most popular programming languages. Data governance and cybersecurity technologies such as its groundbreaking Queryable Encryption protect data and preserve privacy. “We believe that technology driven by software and data makes the world a better place, and we see our customers building modern applications achieving that every day,” said Lena Smart, Chief Information Security Officer at MongoDB . “New technology like generative AI can have an immense benefit to society, but we must ensure AI systems are built and deployed using standards that help ensure they operate safely and without harm across populations. By supporting the U.S. Artificial Intelligence Safety Institute Consortium as a founding member, MongoDB’s goal is to use scientific rigor, our industry expertise, and a human-centered approach to guide organizations on safely testing and deploying trustworthy AI systems without stifling innovation.” In addition to involvement in the AISIC, the MongoDB Atlas for Government program enables U.S. government departments to accelerate their time-to-mission with a database designed for developer productivity and broad workload support. MongoDB Atlas provides government-grade security running in a FedRAMP Moderate Authorized, dedicated environment. NIST’s role in setting technology standards As a part of the U.S. Department of Commerce, NIST plays a pivotal role in developing technology, metrics, and standards aimed at enhancing economic security and improving the quality of life for U.S. citizens. Through its rigorous research and development activities, NIST provides critical guidance and support for industries and science, ensuring the reliability and accuracy of measurements and standards essential for innovation and competitiveness in the global marketplace. Note that NIST does not evaluate commercial products under this Consortium and does not endorse any product or service used. Additional information on this Consortium can be found at: https://www.federalregister.gov/documents/2023/11/02/2023-24216/artificial-intelligence-safety-institute-consortium

February 8, 2024
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Bringing Gen AI Into The Real World with Ramblr and MongoDB

How do you bring the benefits of gen AI, a technology typically experienced on a keyboard and screen, into the physical world? That's the problem the team at Ramblr.ai , a San Francisco-based startup, is solving with its powerful and versatile 3D annotation and recognition capabilities. “With Ramblr you can record continuously what you are doing, and then ask the computer, in natural language, ‘Where did I go wrong’ or ‘What should I do next?” said Frank Angermann, Lead Pipeline & Infrastructure Engineer at Ramblr.ai. Gen AI for the real world One of the best examples of Ramblr’s technology, and its potential, is its work with the international chemical giant BASF. In a video demonstration on Ramblr’s website, a BASF engineer can be seen tightening bolts on a connector (or ‘flange’) joining two parts of a pipeline. Every move the engineer makes is recorded via a helmet-mounted camera. Once the worker is finished for the day this footage, and the footage of every other person working on the pipeline, is uploaded to a database. Using Ramblr’s technology, quality assurance engineers from BASF then query the collected footage from every worker, asking the software to, ‘Please assess footage from today’s pipeline connection work and see if any of the bolts were not tightened enough.’ Having processed the footage, Ramblr assesses whether those flanges had been assembled correctly and identifies any that required further inspection or correction. The method behind the magic “We started Ramblr.ai as an annotation platform, a place where customers could easily label images from a video and have machine learning models then identify that annotation throughout the video automatically,” said Frank. “In the past this work would be carried out manually by thousands of low-paid workers tagging videos by hand. We thought we could be better by automating that process,” he added. The software allows customers to easily customize and add annotations to footage for their particular use case, and with its gen-AI powered active learning approach Ramblr then ‘fills in’ the rest of the video based on those annotations. Why MongoDB? MongoDB has been part of the Ramblr technology stack since the beginning. “We use MongoDB Atlas for half of our storage processes. Metadata, annotation data, etc., can all be stored in the same database. This means we don’t have to rely on separate databases to store different types of data,” said Frank. Flexibility of data storage was also a key consideration when choosing a database. “With MongoDB Atlas, we could store information the way we wanted to,” he added. The built-in vector database capabilities of Atlas were also appealing to the Rambler team, “The ability to store vector embeddings without having to do any more work - for instance not having to move a 3mb array of data somewhere else to process it, was a big bonus for us.” The future Aside from infrastructure and construction Q&A, robotics is another area in which the Ramblr team is eager to deploy their technology. “Smaller robotics companies don’t typically have the data to train the models that inform their products. There are quite a few use cases where we could support these companies and provide a more efficient and cost-effective way to teach the robots more efficiently. We are extremely efficient in providing information for object detectors,” said Frank. But while there are plenty of commercial uses for Ramblr’s technology, the growth in spatial computing in the consumer sector - especially following the release of Apple’s Vision Pro and Meta Quest headsets - opens up a whole new category of use cases. “Spatial computing will be a big part of the world. Being able to understand the particular processes, taxonomy, and what the person is actually seeing in front of them will be a vital part of the next wave of innovation in user interfaces and the evolution of gen AI,” Frank added. Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com. Head over to our quick-start guide to get started with Atlas Vector Search today.

September 30, 2024