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Artificial intelligence | NIST

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usa-section clearfix"> <a id="main-content" tabindex="-1"></a> <div> <div class="nist-section-header nist-section-header--topic nist-section-header--hero"> <div class="nist-section-header__hero-img"> <div class="nist-block nist-block--no-margin"> <div class="entity-reference"> <img src="/web/20230130210945im_/https://www.nist.gov/sites/default/files/images/2021/01/19/Composite_hero_banner_AI.jpg" width="1200" height="248" alt="AI Hero Image" loading="lazy" typeof="foaf:Image"/> </div> </div> </div> <div class="nist-section-header__top grid-container"> <a href="/web/20230130210945/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> <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="f692c002-82ab-4395-af5b-a8f0dbd0be80" href="/web/20230130210945/https://www.nist.gov/programs-projects/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/20230130210945/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> </ul><p>NIST’s AI efforts fall in several categories:</p> <div class="usa-accordion usa-accordion--bordered margin-bottom-0 margin-top-2"><!-- Use the accurate heading level to maintain the document outline --> <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> <!-- Use the accurate heading level to maintain the document outline --> <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> <!-- Use the accurate heading level to maintain the document outline --> <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> <!-- Use the accurate heading level to maintain the document outline --> <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/20230130210945/https://www.nist.gov/document/ai-fact-sheet" media_library="Media Library" title="AI Fact Sheet" class="media-link-ga " data-file-url="https://www.nist.gov/system/files/documents/2023/01/26/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 developed and used in a trustworthy and responsible manner. </p> <p>While answers to the question of what makes an AI technology trustworthy may differ depending on whom you ask, there are certain key characteristics which support trustworthiness, including accuracy, explainability and interpretability, privacy, reliability, robustness, safety, and security (resilience) and mitigation of harmful bias. Principles such as transparency, fairness and accountability should be considered, especially during deployment and use. Trustworthy data, standards and evaluation, validation, and verification are critical for the successful deployment of AI technologies. </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/20230130210945/https://www.nist.gov/itl/ai-risk-management-framework">AI Risk Management Framework</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/fundamental-ai">Fundamental AI Research</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/applied-ai">Applied AI Research</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/artificial-intelligence/hardware-ai">Hardware for AI</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/artificial-intelligence/technical-ai-standards">AI Standards</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/programs-projects/ai-measurement-and-evaluation">AI Measurement and Evaluation</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/artificial-intelligence/ai-policy-contributions">AI Policy Contributions</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/artificial-intelligence/nist-ai-workshops-events">Workshops &amp; Events</a></div> <div class="nist-field__item"><a href="/web/20230130210945/https://www.nist.gov/artificial-intelligence/engage">Engage</a></div> <div class="nist-field__item"><a href="/web/20230130210945/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-db1f5746fa9430ecdb60676fd6013eee37f070ff05a3c5ac07ce16b4f87428f1"> <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/20230130210945/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/20230130210945/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/20230130210945/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/20230130210945/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/20230130210945/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/20230130210945/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 &amp; Programs</h2> <article role="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/20230130210945/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 role="article" about="/programs-projects/emerging-hardware-artificial-intelligence" class="nist-teaser"> <div class="nist-teaser__image"> <div class="entity-reference"> <a href="/web/20230130210945/https://www.nist.gov/programs-projects/emerging-hardware-artificial-intelligence" hreflang="en"><img src="/web/20230130210945im_/https://www.nist.gov/sites/default/files/styles/thumbnail/public/images/2021/01/29/circuit.png?itok=kM80tXpF" width="100" height="98" alt="circuit" loading="lazy" typeof="foaf:Image"/> </a> </div> </div> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20230130210945/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 role="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/20230130210945/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 role="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/20230130210945/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 role="article" about="/programs-projects/jarvis-ml" class="nist-teaser"> <div class="nist-teaser__image"> <div class="entity-reference"> <a href="/web/20230130210945/https://www.nist.gov/programs-projects/jarvis-ml" hreflang="en"><img src="/web/20230130210945im_/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 " loading="lazy" typeof="foaf:Image"/> </a> </div> </div> <div class="nist-teaser__content-wrapper"> <header> <h3 class="nist-teaser__title"><a href="/web/20230130210945/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/20230130210945/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/20230130210945/https://www.nist.gov/publications/search?k=&amp;d%5Bmin%5D=&amp;d%5Bmax%5D=&amp;t=&amp;a=&amp;s=All&amp;ta%5B0%5D=2753736&amp;n=">Publications</a></div> <div class="nist-field__item"><a href="https://web.archive.org/web/20230130210945/https://www.nist.gov/services-resources/software/topic/2753736">Software</a></div> </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/20230130210945/https://www.nist.gov/news-events/news/2022/08/nist-seeks-comments-ai-risk-management-framework-guidance-workshop-date-set"> <div class="entity-reference"> <img src="/web/20230130210945im_/https://www.nist.gov/sites/default/files/styles/600w_x_360h/public/images/2019/07/02/composite_hero.jpg?itok=a8hV5vdg" width="600" height="360" alt="Illustration that shows an outline of a face and then icons to represent different areas of AI including heart (health), lock (cyber), windmills (energy), steering wheel (cars) and manufacturing arm" loading="lazy" typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title"> <h3><span property="schema:name">NIST Seeks Comments on AI Risk Management Framework Guidance, Workshop Date Set</span> </h3> </div> <div class="nist-card__content"> <div property="schema:text" class="text-with-summary">NIST is seeking comments on a second draft of the NIST Artificial Intelligence Risk Management Framework (AI RMF). The AI RMF is intended for voluntary use in addressing risks in the design, development, use, and evaluation of AI products, services, and systems. The new draft builds on and reflects the discussions at the AI RMF Workshop #2 and incorporates feedback received on the initial draft</div> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20230130210945/https://www.nist.gov/news-events/news/2022/08/nist-seeks-comments-ai-risk-management-framework-guidance-workshop-date-set" 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-d7e336fd06983c6100616483bfd8515401bf4ef2aa8fccd604bbbf45e1cdda14"> <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/20230130210945/https://www.nist.gov/news-events/news/2023/01/nist-risk-management-framework-aims-improve-trustworthiness-artificial"> <div class="entity-reference"> <img src="/web/20230130210945im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2023/01/25/RMF-redesign-rounded-other_graphics-04.png?itok=pwS-tYM3" width="800" height="400" alt="Circular design includes elements of the AI Risk Management Framework: Govern, Measure, Manage, Map." loading="lazy" typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title padding-y-5"> <h3><span property="schema:name">NIST Risk Management Framework Aims to Improve Trustworthiness of Artificial Intelligence</span> </h3> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20230130210945/https://www.nist.gov/news-events/news/2023/01/nist-risk-management-framework-aims-improve-trustworthiness-artificial" 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/20230130210945/https://www.nist.gov/news-events/news/2022/11/winners-announced-first-phase-uk-us-privacy-enhancing-technologies-prize"> <div class="entity-reference"> <img src="/web/20230130210945im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2019/06/19/sdecoret_pi_hack_shutterstock_617737619_hr_2mb.jpg?itok=-dTbWjwc" width="800" height="400" alt="Stock image showing various cybersecurity icons such as security lock , shield, retinal scan, email" loading="lazy" typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title padding-y-5"> <h3><span property="schema:name">Winners Announced in First Phase of UK-US Privacy-Enhancing Technologies Prize Challenges</span> </h3> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20230130210945/https://www.nist.gov/news-events/news/2022/11/winners-announced-first-phase-uk-us-privacy-enhancing-technologies-prize" 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/20230130210945/https://www.nist.gov/news-events/news/2022/10/machine-learning-based-solution-could-help-firefighters-circumvent-deadly"> <div class="entity-reference"> <img src="/web/20230130210945im_/https://www.nist.gov/sites/default/files/styles/800w_x_400h/public/images/2022/10/04/Screen_Shot_2022-09-26_at_7.41.30_PM.png?itok=wtbZiGJZ" width="800" height="400" alt="A fireball rushes out of the opening of a small metal compartment in a concrete room. " loading="lazy" typeof="foaf:Image"/> </div> </a> </div> <div class="nist-card__title padding-y-5"> <h3><span property="schema:name">A Machine Learning-Based Solution Could Help Firefighters Circumvent Deadly Backdrafts</span> </h3> </div> <div class="nist-card__links"> <div class="nist-card__button"> <a href="/web/20230130210945/https://www.nist.gov/news-events/news/2022/10/machine-learning-based-solution-could-help-firefighters-circumvent-deadly" class="usa-button ">Read more</a> </div> </div> </div> </div> </div> <footer> <div class="link-list"><a href="/web/20230130210945/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=&quot;video-embed-field-provider-nist-kaltura video-embed-field-responsive-video&quot;><iframe width=&quot;854&quot; height=&quot;480&quot; frameborder=&quot;0&quot; allow=&quot;autoplay *; fullscreen *; encrypted-media *&quot; allowfullscreen=&quot;allowfullscreen&quot; src=&quot;https://www.kaltura.com/p/684682/sp/68468200/embedIframeJs/uiconf_id/31013851/partner_id/684682?iframeembed=true&amp;amp;entry_id=1_h556oikg?iframeembed=true&amp;amp;entry_id=1_h556oikg&amp;amp;flashvars%5BautoPlay%5D=1&quot;></iframe> </div> "><img alt="Bias in AI " loading="lazy" src="https://web.archive.org/web/20230130210945im_/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=&quot;video-embed-field-provider-nist-kaltura video-embed-field-responsive-video&quot;><iframe width=&quot;854&quot; height=&quot;480&quot; frameborder=&quot;0&quot; allow=&quot;autoplay *; fullscreen *; encrypted-media *&quot; allowfullscreen=&quot;allowfullscreen&quot; src=&quot;https://www.kaltura.com/p/684682/sp/68468200/embedIframeJs/uiconf_id/31013851/partner_id/684682?iframeembed=true&amp;amp;entry_id=1_v7i4e45h?iframeembed=true&amp;amp;entry_id=1_v7i4e45h&amp;amp;flashvars%5BautoPlay%5D=1&quot;></iframe> </div> "><img alt="Psychology of Interpretable and Explainable AI" loading="lazy" src="https://web.archive.org/web/20230130210945im_/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> <div class="padding-5 bg-primary-dark"> <h2 class="text-white text-center">Stay in Touch</h2> <p class="text-white text-center">Sign up for our newsletter to stay up to date with the latest research, trends, and news for Artificial intelligence.</p> <form action="https://web.archive.org/web/20230130210945/https://public.govdelivery.com/accounts/USNIST/subscribers/qualify" accept-charset="UTF-8" method="post"> <input name="utf8" type="hidden" value="✓"/> <input type="hidden" name="topic_id" id="topic_id" value="USNIST_465"/> <div class="grid-row grid-gap-1 flex flex-justify-center"> <div class="tablet:grid-col-3"> <label class="usa-sr-only" for="email">Enter Email Address</label> <input class="usa-input" type="email" name="email" id="email" placeholder="Enter your email"> </div> <div class="grid-row flex-wrap margin-top-1"> <input type="submit" name="commit" value="Sign Up" class="usa-button usa-button--outline usa-button--inverse"> </div> </div> </form> </div> </div> </div> </section> </div> <div data-elastic-exclude> <!-- nist-index-ignore-start --> <footer class="nist-footer padding-bottom-4"> <div class="grid-container nist-footer__info"> <div class="grid-row"> <div class="tablet:grid-col-6"> <div class="nist-footer__logo"> <a href="/web/20230130210945/https://www.nist.gov/" title="National Institute of Standards and Technology" rel="home"> <img class="nist-footer__logo-img" src="/web/20230130210945im_/https://www.nist.gov/libraries/nist-component-library/dist/img/logo/NIST-Logo-Brand-White.svg" alt="National Institute of Standards and Technology logo" width="300px" height="42px"/> </a> </div> <div class="nist-footer__contact"> <h3 class="nist-footer__contact-heading">HEADQUARTERS</h3> <address> 100 Bureau Drive<br> Gaithersburg, MD 20899<br> <a href="https://web.archive.org/web/20230130210945/tel:301-975-2000">301-975-2000</a> </address> <p> <a href="https://web.archive.org/web/20230130210945/mailto:do-webmaster@nist.gov">Webmaster</a> | <a href="https://web.archive.org/web/20230130210945/https://www.nist.gov/about-nist/contact-us">Contact Us</a> | <a href="https://web.archive.org/web/20230130210945/https://www.nist.gov/visit">Our Other Offices</a> </p> </div> </div> <div class="tablet:grid-col-6"> <div class="nist-footer__social-links"> <a class="nist-social nist-social--twitter-white" href="https://web.archive.org/web/20230130210945/https://twitter.com/NIST"> <span>Twitter</span> </a> <a class="nist-social nist-social--facebook-white" href="https://web.archive.org/web/20230130210945/https://www.facebook.com/NIST"> <span>Facebook</span> </a> <a class="nist-social nist-social--linkedin-white" href="https://web.archive.org/web/20230130210945/https://www.linkedin.com/company/nist"> <span>LinkedIn</span> </a> <a class="nist-social nist-social--instagram-white" href="https://web.archive.org/web/20230130210945/https://www.instagram.com/nist/"> <span>Instagram</span> </a> <a class="nist-social nist-social--youtube-white" href="https://web.archive.org/web/20230130210945/https://www.youtube.com/NIST"> <span>YouTube</span> </a> <a class="nist-social nist-social--giphy-white" href="https://web.archive.org/web/20230130210945/https://giphy.com/nist"> <span>Giphy</span> </a> <a class="nist-social nist-social--rss-white" href="https://web.archive.org/web/20230130210945/https://www.nist.gov/news-events/nist-rss-feeds"> <span>RSS Feed</span> </a> <a class="nist-social nist-social--envelope-white" href="https://web.archive.org/web/20230130210945/https://public.govdelivery.com/accounts/USNIST/subscriber/new"> <span>Mailing List</span> </a> </div> <div class="nist-footer__feedback"> How are we doing? 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