Artificial intelligence

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<div class="nist-block nist-block--no-margin"> <div class="entity-reference"> <img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/images/2021/01/19/Composite_hero_banner_AI.jpg" width="1200" height="248" alt="AI Hero Image" typeof="foaf:Image"/> </div> </div> </div> <div class="nist-section-header__top grid-container"> <a href="/web/20231128043211/https://www.nist.gov/information-technology">Information Technology</a> </div> <div class="nist-section-header__sub"> <div class="nist-section-header__main grid-container"> <div class="grid-row"> <div class="nist-section-header__title"> <h1 class="nist-page__title">Artificial intelligence</h1> </div> </div> </div> </div> </div> </div> <div class="grid-container"> <div class="nist-page__region nist-page__region--topic-description padding-top-4 margin-top-1"> <div class="nist-region-heading"> <h2>Overview</h2> </div> <div class="grid-row"> <div class="tablet:grid-col-8 padding-right-5 margin-bottom-4"> <div class="text-with-summary"> <p>Artificial Intelligence (AI) is rapidly transforming our world. Remarkable surges in AI capabilities have led to a wide range of innovations including autonomous vehicles and connected Internet of Things devices in our homes. AI is even contributing to the development of a brain-controlled robotic arm that can help a paralyzed person feel again through complex direct human-brain interfaces. These new AI-enabled systems are revolutionizing and benefitting nearly all aspects of our society and economy – everything from commerce and healthcare to transportation and cybersecurity. But the development and use of the new technologies it brings are not without technical challenges and risks. </p> <div class="nist-callout">On October 30, President Joseph R. Biden signed an Executive Order (EO) to build U.S. capacity to evaluate and mitigate the risks of Artificial Intelligence (AI) systems to ensure safety, security, and trust, while promoting an innovative, competitive AI ecosystem that supports workers and protects consumers. <a data-entity-substitution="canonical" data-entity-type="node" data-entity-uuid="7ec397c9-eabb-4ae3-b281-0a355cdffc32" href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/executive-order-safe-secure-and-trustworthy-artificial-intelligence" media_library="Media Library" title="Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence">Learn more about NIST's responsibilities in the EO</a> and the creation of the <a data-entity-substitution="canonical" data-entity-type="node" data-entity-uuid="20f1dcd6-553a-48a0-ab4d-7d9efe0b7e1f" href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/artificial-intelligence-safety-institute" media_library="Media Library" title="U.S. Artificial Intelligence Safety Institute">U.S. Artificial Intelligence Safety Institute</a>, including the new consortium that is being established.</div> <p>NIST contributes to the research, standards and data required to realize the full promise of artificial intelligence (AI) as a tool that will enable American innovation, enhance economic security and improve our quality of life. Much of our work focuses on cultivating trust in the design, development, use and governance of artificial intelligence (AI) technologies and systems. We are doing this by:</p> <ul><li>Conducting fundamental research to advance <a data-entity-substitution="canonical" data-entity-type="node" data-entity-uuid="4f0b9977-ef6b-4e68-a5a9-0f7fe38199cb" href="/web/20231128043211/https://www.nist.gov/trustworthy-and-responsible-ai" media_library="Media Library" title="Trustworthy and Responsible AI">trustworthy AI technologies</a> and understand and measure their capabilities and limitations.</li> <li>Applying AI research and innovation across NIST laboratory programs.</li> <li>Establishing benchmarks and developing data and metrics to evaluate AI technologies.</li> <li>Leading and participating in the development of technical AI standards.</li> <li>Contributing to discussions and development of AI policies, including supporting the <a data-entity-substitution="canonical" data-entity-type="node" data-entity-uuid="b049288c-fea5-4e0f-bc11-401c75e136bf" href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/national-artificial-intelligence-advisory-committee-naiac" media_library="Media Library" title="National Artificial Intelligence Advisory Committee (NAIAC)">National AI Advisory Committee</a>.</li> <li>Hosting the <a href="https://web.archive.org/web/20231128043211/https://airc.nist.gov/home" media_library="Media Library">NIST Trustworthy & Responsible AI Resource Center</a> providing access to a wide range of relevant AI resources.</li> </ul><p>NIST’s AI efforts fall in several categories:</p> <div class="usa-accordion usa-accordion--bordered margin-bottom-0 margin-top-2"> <h3 class="usa-accordion__heading"><button aria-controls="ai-1" aria-expanded="false" class="usa-accordion__button">Fundamental AI Research</button></h3> <div class="usa-accordion__content" id="ai-1"> <p>NIST’s AI portfolio includes fundamental research into and development of AI technologies — including software, hardware, architectures and human interaction and teaming — vital for AI computational trust.</p> </div>  <h3 class="usa-accordion__heading"><button aria-controls="ai-2" aria-expanded="false" class="usa-accordion__button">Applied AI Research</button></h3> <div class="usa-accordion__content" id="ai-2"> <p>AI approaches are increasingly an essential component in new research. NIST scientists and engineers use various machine learning and AI tools to gain a deeper understanding of and insight into their research. At the same time, NIST laboratory experiences with AI are leading to a better understanding of AI’s capabilities and limitations.</p> </div>  <h3 class="usa-accordion__heading"><button aria-controls="ai-3" aria-expanded="false" class="usa-accordion__button">AI Measurement and Evaluation</button></h3> <div class="usa-accordion__content" id="ai-3"> <p>With a long history of devising and revising metrics, measurement tools, standards and test beds, NIST increasingly is focusing on the evaluation of technical characteristics of trustworthy AI.</p> </div>  <h3 class="usa-accordion__heading"><button aria-controls="ai-4" aria-expanded="false" class="usa-accordion__button">Technical Standards</button></h3> <div class="usa-accordion__content" id="ai-4"> <p>NIST leads and participates in the development of technical standards, including international standards, that promote innovation and public trust in systems that use AI. A broad spectrum of standards for AI data, performance and governance are — and increasingly will be — a priority for the use and creation of trustworthy and responsible AI.</p> </div> </div> <p><a data-entity-substitution="canonical" data-entity-type="media" data-entity-uuid="73401875-298d-4a84-a570-b6e7444ad899" href="/web/20231128043211/https://www.nist.gov/document/ai-fact-sheet" media_library="Media Library" title="AI Fact Sheet" class="media-link-ga " data-file-url="/system/files/documents/2023/11/02/AI%20Fact%20Sheet%200615%20FINAL.pdf">A fact sheet describes NIST's AI programs</a>.</p> <h3>Cultivating Trust in AI Technologies</h3> <p>AI and Machine Learning (ML) is changing the way in which society addresses economic and national security challenges and opportunities. It is being used in genomics, image and video processing, materials, natural language processing, robotics, wireless spectrum monitoring and more. These technologies must be trustworthy and developed for responsible AI practice and use. Trustworthy AI systems are demonstrated to be valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy-enhanced, and fair with harmful bias managed.</p> <p>Delivering the needed measurements, standards and other tools is a primary focus for NIST’s portfolio of AI efforts. It is an area in which NIST has special responsibilities and expertise. NIST relies heavily on stakeholder input, including via workshops, and issues most publications in draft for comment.</p> </div> </div> <div class="tablet:grid-col-4"> <div class="nist-block nist-block--no-margin"> <h2 class="nist-block__title">Featured Content</h2> <div class="nist-field nist-field--label-hidden nist-field--link-list link font-sans-sm"> <div class="nist-field__items"> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/executive-order-safe-secure-and-trustworthy-artificial-intelligence">Executive Order on Safe, Secure, and Trustworthy AI</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/artificial-intelligence-safety-institute">U.S. Artificial Intelligence Safety Institute</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/itl/ai-risk-management-framework">AI Risk Management Framework</a></div> <div class="nist-field__item"><a href="https://web.archive.org/web/20231128043211/https://airc.nist.gov/home">AI Resource Center</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/fundamental-ai">Fundamental AI Research</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/applied-ai">Applied AI Research</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/technical-ai-standards">AI Standards</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/ai-measurement-and-evaluation">AI Measurement and Evaluation</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/ai-policy-contributions">AI Policy Contributions</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/nist-ai-engagement">AI Engagement</a></div> <div class="nist-field__item"><a href="/web/20231128043211/https://www.nist.gov/artificial-intelligence/related-links">Related Links</a></div> </div> </div> </div> </div> </div> </div> </div> <div class="bg-base-lightest padding-y-5 margin-y-4"> <div class="nist-page__region nist-page__region--topic-list grid-container"> <div class="views-element-container nist-block margin-bottom-0"> <div><div class="js-view-dom-id-c547c2ad76323598fc0000143e9260c13e3dd292a4fe5319d99e06f97b19d6bf"> <div class="nist-block margin-bottom-0"> <div class="nist-region-heading"> <h2>Artificial intelligence Topics</h2> </div> <ul class="add-list-reset link-list"> <div class="grid-row"> <div class="tablet:grid-col-6"> <li class="font-sans-md padding-bottom-205"><div class="views-field views-field-field-shared-section"><div class="field-content nist-icon nist-icon--before nist-icon--arrow-right2"><a href="/web/20231128043211/https://www.nist.gov/ai-measurement-and-evaluation" hreflang="en">AI Measurement and Evaluation</a></div></div></li> </div> <div class="tablet:grid-col-6"> <li class="font-sans-md padding-bottom-205"><div class="views-field views-field-field-shared-section"><div class="field-content nist-icon nist-icon--before nist-icon--arrow-right2"><a href="/web/20231128043211/https://www.nist.gov/applied-ai" hreflang="en">Applied AI</a></div></div></li> </div> <div class="tablet:grid-col-6"> <li class="font-sans-md padding-bottom-205"><div class="views-field views-field-field-shared-section"><div class="field-content nist-icon nist-icon--before nist-icon--arrow-right2"><a href="/web/20231128043211/https://www.nist.gov/fundamental-ai" hreflang="en">Fundamental AI</a></div></div></li> </div> <div class="tablet:grid-col-6"> <li class="font-sans-md padding-bottom-205"><div class="views-field views-field-field-shared-section"><div class="field-content nist-icon nist-icon--before nist-icon--arrow-right2"><a href="/web/20231128043211/https://www.nist.gov/hardware-ai" hreflang="en">Hardware for AI</a></div></div></li> </div> <div class="tablet:grid-col-6"> <li class="font-sans-md padding-bottom-205"><div class="views-field views-field-field-shared-section"><div class="field-content nist-icon nist-icon--before nist-icon--arrow-right2"><a href="/web/20231128043211/https://www.nist.gov/machine-learning" hreflang="en">Machine learning</a></div></div></li> </div> <div class="tablet:grid-col-6"> <li class="font-sans-md padding-bottom-205"><div class="views-field views-field-field-shared-section"><div class="field-content nist-icon nist-icon--before nist-icon--arrow-right2"><a href="/web/20231128043211/https://www.nist.gov/trustworthy-and-responsible-ai" hreflang="en">Trustworthy and Responsible AI</a></div></div></li> </div> </div> </ul> </div> </div> </div> </div> </div> </div> <div class="nist-page__region nist-page__region--main"> <div class="nist-block"> <div class="grid-container margin-y-5"> <div class="paragraph paragraph--type--topic-research paragraph--view-mode--default"> <div class="nist-region-heading"> <h2>The Research</h2> </div> <div class="grid-row"> <div class="tablet:grid-col-8 padding-right-5 margin-y-2"> <h2 class="nist-block__title">Projects & Programs</h2> <article about="/programs-projects/deep-learning-mri-reconstruction-and-analysis" class="nist-teaser"> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/programs-projects/deep-learning-mri-reconstruction-and-analysis"><span>Deep Learning for MRI Reconstruction and Analysis</span> </a></h3> <div class="nist-teaser__type"> <div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div> </div> </header> <div class="nist-teaser__content"> <div class="text-long"> Healthcare is big part of the national economy. Medical Imaging has emerged over the past several decades as a critical diagnosis and therapeutic tool. However </div> </div> </div> </article> <article about="/programs-projects/emerging-hardware-artificial-intelligence" class="nist-teaser"> <div class="nist-teaser__image"> <div class="entity-reference"> <a href="/web/20231128043211/https://www.nist.gov/programs-projects/emerging-hardware-artificial-intelligence" hreflang="en"><img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/thumbnail/public/images/2021/01/29/circuit.png?itok=kM80tXpF" width="100" height="98" alt="circuit" typeof="foaf:Image"/> </a> </div> </div> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/programs-projects/emerging-hardware-artificial-intelligence"><span>Emerging Hardware for Artificial Intelligence</span> </a></h3> <div class="nist-teaser__type"> <div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div> </div> </header> <div class="nist-teaser__content"> <div class="text-long"> Designing artificial intelligence (AI) from the device up could unlock improvements in critical metrics such as energy delay product and enable unique networks </div> </div> </div> </article> <article about="/programs-projects/embodied-ai-and-data-generation-manufacturing-robotics" class="nist-teaser"> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/programs-projects/embodied-ai-and-data-generation-manufacturing-robotics"><span>Embodied AI and Data Generation for Manufacturing Robotics</span> </a></h3> <div class="nist-teaser__type"> <div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div> </div> </header> <div class="nist-teaser__content"> <div class="text-long"> Approaches categorized as “artificial intelligence” (AI) are enabling significant advances in robotics. These include symbolic logic, Bayesian statistics, and </div> </div> </div> </article> <article about="/programs-projects/deep-generative-modeling-communication-systems-testing-and-data-sharing" class="nist-teaser"> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/programs-projects/deep-generative-modeling-communication-systems-testing-and-data-sharing"><span>Deep Generative Modeling for Communication Systems Testing and Data Sharing</span> </a></h3> <div class="nist-teaser__type"> <div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div> </div> </header> <div class="nist-teaser__content"> <div class="text-long"> This project aims to develop deep generative models, an emerging topic in AI , for radio frequency (RF) waveforms collected from real-world communications </div> </div> </div> </article> <article about="/programs-projects/jarvis-ml" class="nist-teaser"> <div class="nist-teaser__image"> <div class="entity-reference"> <a href="/web/20231128043211/https://www.nist.gov/programs-projects/jarvis-ml" hreflang="en"><img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/thumbnail/public/images/2020/07/29/JARVIS-ML-7-2020.png?itok=x2WHG8z-" width="100" height="73" alt="JARVIS-ML overview " typeof="foaf:Image"/> </a> </div> </div> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/programs-projects/jarvis-ml"><span>JARVIS-ML</span> </a></h3> <div class="nist-teaser__type"> <div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div> </div> </header> <div class="nist-teaser__content"> <div class="text-long"> JARVIS-ML is a repository of machine learning (ML) model parameters, descriptors, and ML related input and target data. JARVIS-ML is a part of the NIST-JARVIS </div> </div> </div> </article> <div class="link-list"><a href="/web/20231128043211/https://www.nist.gov/laboratories/projects-programs/topic/2753736">View All Projects/Programs</a></div> </div> <div class="tablet:grid-col-4 margin-y-2"> <h2 class="nist-block__title">Additional Resources Links</h2> <div class="nist-field nist-field--label-hidden nist-field--link-list link nist-field--link-list font-sans-sm"> <div class="nist-field__items"> <div class="nist-field__item"><a href="https://web.archive.org/web/20231128043211/https://www.nist.gov/publications/search?k=&d%5Bmin%5D=&d%5Bmax%5D=&t=&a=&s=All&ta%5B0%5D=2753736&n=">Publications</a></div> <div class="nist-field__item"><a href="https://web.archive.org/web/20231128043211/https://www.nist.gov/services-resources/software/topic/2753736">Software</a></div> </div> </div> </div> </div> </div> </div> <div class="paragraph paragraph--type--topic-featured paragraph--view-mode--default nist-content-row--width-full bg-base-lightest margin-y-5"> <div class="grid-container"> <div class="nist-card nist-card--horizontal nist-card--horizontal-full nist-card--base-lightest"> <div class="nist-card__inner"> <div class="nist-card__image"> <a href="https://web.archive.org/web/20231128043211/https://airc.nist.gov/Home"> <div class="entity-reference"> <figure class="nist-image"> <img src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2017/05/12/composite2.jpg.webp?itok=R8ybPU1S" width="800" height="400" alt="Composite image representing artificial intelligence. Image of graphic human head with images representing healthcare, cybersecurity, transportation, energy, robotics, and manufacturing." loading="lazy" typeof="foaf:Image"/> <figcaption class="nist-image__caption"> <div data-caption-editable="true" class="nist-image__caption-content"> </div> </figcaption> </figure> </div> </a> </div> <div class="nist-card__title"> <h3> NIST Launches Trustworthy and Responsible AI Resource Center (AIRC) </h3> </div> <div class="nist-card__content"> <div class="text-long"><p>One-stop shop offers industry, government and academic stakeholders knowledge of AI standards, measurement methods and metrics, data sets, and other resources.</p></div> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="https://web.archive.org/web/20231128043211/https://airc.nist.gov/Home" class="usa-button ">Learn More</a> </div> </div> </div> </div> </div> </div> <div class="grid-container margin-y-4"> <div class="nist-region-heading"> <h2>News</h2> </div> <div class="margin-bottom-5"> <div class="entity-reference"> <div class="nist-card nist-card--horizontal nist-card--horizontal-full"> <div class="nist-card__inner"> <div class="nist-card__image"> <a href="/web/20231128043211/https://www.nist.gov/blogs/taking-measure/minimizing-harms-and-maximizing-potential-generative-ai"> <div class="entity-reference"> <img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/600w_x_360h/public/images/2023/11/08/shutterstock_2237091715.jpg.webp?itok=X3DxtOuw" width="600" height="360" alt="In front of a laptop computer, a hand holds a cell phone that has a conversation with generative AI on the phone screen." typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title"> <h3><span>Minimizing Harms and Maximizing the Potential of Generative AI</span> </h3> </div> <div class="nist-card__content"> <div class="text-with-summary"> As generative AI tools like ChatGPT become more commonly used, we must think carefully about the impact on people and society. </div> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20231128043211/https://www.nist.gov/blogs/taking-measure/minimizing-harms-and-maximizing-potential-generative-ai" class="usa-button ">Read more</a> </div> </div> </div> </div> </div> </div> <div class="paragraph paragraph--type--dynamic-news-list-topic paragraph--view-mode--default"> <div class="views-element-container"><div class="js-view-dom-id-5e1016051cb0934cc127a7d496a4fc8eb5cd1e2013783e8d45f328553beee2e8"> <div class="grid-row grid-gap-2"> <div class="nist-card tablet:grid-col-4 nist-card--topic "> <div class="nist-card__inner"> <div class="nist-card__image"> <a href="/web/20231128043211/https://www.nist.gov/news-events/news/2023/11/nist-seeks-collaborators-consortium-supporting-artificial-intelligence"> <div class="entity-reference"> <img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2017/05/12/composite2.jpg.webp?itok=R8ybPU1S" width="800" height="400" alt="Composite image representing artificial intelligence. Image of graphic human head with images representing healthcare, cybersecurity, transportation, energy, robotics, and manufacturing." typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title padding-y-5"> <h3><span property="schema:name">NIST Seeks Collaborators for Consortium Supporting Artificial Intelligence Safety</span> </h3> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20231128043211/https://www.nist.gov/news-events/news/2023/11/nist-seeks-collaborators-consortium-supporting-artificial-intelligence" class="usa-button ">Read more</a> </div> </div> </div> </div> <div class="nist-card tablet:grid-col-4 nist-card--topic "> <div class="nist-card__inner"> <div class="nist-card__image"> <a href="/web/20231128043211/https://www.nist.gov/news-events/news/2023/11/nist-updates-guide-communications-standards-federal-agencies"> <div class="entity-reference"> <img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2023/11/17/NIST%20Updates%20Guide%20on%20Communications%20Standards%20to%20Federal%20Agencies.png.webp?itok=hTu0I4zG" width="800" height="400" alt="NIST Updates Guide on Communications Standards to Federal Agencies" typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title padding-y-5"> <h3><span property="schema:name">NIST Updates Guide on Communications Standards to Federal Agencies</span> </h3> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20231128043211/https://www.nist.gov/news-events/news/2023/11/nist-updates-guide-communications-standards-federal-agencies" class="usa-button ">Read more</a> </div> </div> </div> </div> <div class="nist-card tablet:grid-col-4 nist-card--topic "> <div class="nist-card__inner"> <div class="nist-card__image"> <a href="/web/20231128043211/https://www.nist.gov/news-events/news/2023/10/department-commerce-undertake-key-responsibilities-historic-artificial"> <div class="entity-reference"> <img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2017/05/12/composite2.jpg.webp?itok=R8ybPU1S" width="800" height="400" alt="Composite image representing artificial intelligence. Image of graphic human head with images representing healthcare, cybersecurity, transportation, energy, robotics, and manufacturing." typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title padding-y-5"> <h3><span property="schema:name">Department of Commerce to Undertake Key Responsibilities in Historic Artificial Intelligence Executive Order</span> </h3> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20231128043211/https://www.nist.gov/news-events/news/2023/10/department-commerce-undertake-key-responsibilities-historic-artificial" class="usa-button ">Read more</a> </div> </div> </div> </div> </div> <footer> <div class="link-list"><a href="/web/20231128043211/https://www.nist.gov/news-events/news-updates/topic/2753736">View All News and Updates</a></div> </footer> </div> </div> </div> </div> <div class="nist-content-row nist-content-row--width-legible paragraph paragraph--type--text paragraph--view-mode--default"> <div class="nist-block text-long"><div class="grid-container"> <div class="grid-row grid-gap"> <div class="grid-col"> <div> <figure class="align-center nist-video" data-media-id="614866"><div class="video-embed-field"><div class="video-embed-field-lazy" data-video-embed-field-lazy="<div class="video-embed-field-provider-nist-kaltura video-embed-field-responsive-video"><iframe width="854" height="480" frameborder="0" allow="autoplay *; fullscreen *; encrypted-media *" allowfullscreen="allowfullscreen" src="https://www.kaltura.com/p/684682/sp/68468200/embedIframeJs/uiconf_id/31013851/partner_id/684682?iframeembed=true&amp;entry_id=1_h556oikg?iframeembed=true&amp;entry_id=1_h556oikg&amp;flashvars%5BautoPlay%5D=1"></iframe> </div> "><img alt="Bias in AI " loading="lazy" src="https://web.archive.org/web/20231128043211im_/https://cdnsecakmi.kaltura.com/p/684682/sp/68468200/thumbnail/entry_id/1_h556oikg/width/1280" typeof="foaf:Image"/><button class="video-embed-field-lazy-play"></button> <div class="video-embed-field-lazy-title">Bias in AI </div> </div> </div> <figcaption class="nist-video__caption" data-caption-editable="true"> NIST contributes to the research, standards, and data required to realize the full promise of artificial intelligence (AI) as an enabler of American innovation across industry and economic sectors. Working with the AI community, NIST seeks to identify the technical requirements needed to cultivate trust that AI systems are accurate and reliable, safe and secure, explainable, and free from bias. A key but still insufficiently defined building block of trustworthiness is bias in AI-based products and systems. That bias can be purposeful or inadvertent. By hosting discussions and conducting research, NIST is helping to move us closer to agreement on understanding and measuring bias in AI systems. </figcaption></figure></div> </div> <div class="grid-col"> <div> <figure class="align-center nist-video" data-media-id="630861"><div class="video-embed-field"><div class="video-embed-field-lazy" data-video-embed-field-lazy="<div class="video-embed-field-provider-nist-kaltura video-embed-field-responsive-video"><iframe width="854" height="480" frameborder="0" allow="autoplay *; fullscreen *; encrypted-media *" allowfullscreen="allowfullscreen" src="https://www.kaltura.com/p/684682/sp/68468200/embedIframeJs/uiconf_id/31013851/partner_id/684682?iframeembed=true&amp;entry_id=1_v7i4e45h?iframeembed=true&amp;entry_id=1_v7i4e45h&amp;flashvars%5BautoPlay%5D=1"></iframe> </div> "><img alt="Psychology of Interpretable and Explainable AI" loading="lazy" src="https://web.archive.org/web/20231128043211im_/https://cdnsecakmi.kaltura.com/p/684682/sp/68468200/thumbnail/entry_id/1_v7i4e45h/width/1280" typeof="foaf:Image"/><button class="video-embed-field-lazy-play"></button> <div class="video-embed-field-lazy-title">Psychology of Interpretable and Explainable AI</div> </div> </div> <figcaption class="nist-video__caption" data-caption-editable="true"> The purpose of this pre-recorded webinar, is to promote and more broadly share the release of NIST IR-8367, "Psychological Foundations of Explainability and Interpretability in Artificial Intelligence." This is a pre-recorded interview between the author of the paper, Dr. David Broniatowski, and a member of the NIST ITL team, Natasha Bansgopaul, asking key questions to highlight important insights from the paper that was published in April 2021. </figcaption></figure></div> </div> </div> </div></div> </div> <div class="grid-container margin-y-4"> <div class="paragraph paragraph--type--dynamic-content-list-topic paragraph--view-mode--default"> <div class="nist-region-heading"> <h2> <div class="string">Events</div> </h2> </div> <div class="nist-block "> <div class="viewsreference"><div class="views-element-container"><div class="js-view-dom-id-c9bab2f4d987dd42b50f734ce5bede9ef80c0cab79cdb90b0930d6d0eef29657"> <div> <article about="/news-events/events/2023/12/ai-metrology-colloquia-series" class="nist-teaser"> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/news-events/events/2023/12/ai-metrology-colloquia-series"><span>AI Metrology Colloquia Series</span> </a></h3> <div class="nist-teaser__date"> <div class="smartdate">Thu, Dec 7 2023, 12:00 - 1:00pm EST</div> </div> </header> <div class="nist-teaser__content"> <div class="text-with-summary"> As a follow-on to the National Academies of Science, Engineering, and Medicine workshop on Assessing and Improving AI </div> </div> </div> </article> </div> <div> <article about="/news-events/events/2023/12/chips-rd-digital-twin-technical-standards-workshop" class="nist-teaser"> <div class="nist-teaser__image"> <div class="entity-reference"> <a href="/web/20231128043211/https://www.nist.gov/news-events/events/2023/12/chips-rd-digital-twin-technical-standards-workshop" hreflang="en"><img loading="lazy" src="/web/20231128043211im_/https://www.nist.gov/sites/default/files/styles/thumbnail/public/images/2023/10/26/wkshp2-digitwin-web-banner.png?itok=auLqRY7p" width="100" height="57" alt="CHIPS R&D Workshop 2 December 14-15, 2023" typeof="foaf:Image"/> </a> </div> </div> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20231128043211/https://www.nist.gov/news-events/events/2023/12/chips-rd-digital-twin-technical-standards-workshop"><span>CHIPS R&D Digital Twin Technical Standards Workshop</span> </a></h3> <div class="nist-teaser__date"> <div class="smartdate">Thu, Dec 14 - Fri, Dec 15 2023</div> </div> </header> <div class="nist-teaser__content"> <div class="text-with-summary"> Technical standards for digital twin capabilities in the semiconductor and microelectronics industry will be the subject </div> </div> </div> </article> </div> <footer> <div class="link-list"><a 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