{"id":968,"date":"2020-11-10T20:55:17","date_gmt":"2020-11-10T20:55:17","guid":{"rendered":"http:\/\/ieeeusaorg.wpengine.com\/?post_type=avada_portfolio&#038;p=968"},"modified":"2025-10-29T09:45:33","modified_gmt":"2025-10-29T13:45:33","slug":"aipc","status":"publish","type":"avada_portfolio","link":"https:\/\/ieeeusa.org\/committees\/aipc\/","title":{"rendered":"AI Policy Committee (AIPC)"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1260px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_3_4 3_4 fusion-flex-column\" style=\"--awb-padding-right:20px;--awb-bg-size:cover;--awb-width-large:75%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-transform:none;\"><h2>About<\/h2>\n<p>The AI Policy Committee brings together IEEE members with experience and expertise in the disciplines needed to create, develop, and deploy artificial intelligence (AI) systems. These members address the public policy (both legislative and regulatory) needs of the S&amp;T community working with this important emerging technology. The committee meets as needed to discuss issues related to AI governance and publishes position statements that reflect a consensus viewpoint of IEEE\u2019s U.S.-based membership. IEEE-USA government relations staff use the statements to guide advocacy efforts within the United States. Specific uses include, but are not limited to, legislative advocacy, federal agency rulemaking, notice-and-comment letters, and lobbying efforts with Congress and the Administration.<\/p>\n<h2>Rationale<\/h2>\n<p>While AI can be an effective and efficient enabler for national security and social good, and has significant potential for a wide range of commercial applications, society must acknowledge and address a number of salient issues. Increasingly, AI applications significantly impact every aspect of American society, with implications for the economy, public safety, privacy, and governmental applications.<\/p>\n<p>For these reasons, the US government must create coordinated federal policy, which includes supporting AI R&amp;D adequately while enacting effective laws and regulations that promote safety, privacy, cybersecurity, and intellectual property protection. Federal public policies must also ensure transparency and provide the information necessary to allow the public to make informed decisions when using AI. Insufficient attention to any of these areas could result in high-profile controversies, critical technological failures, or even loss of life. Well-considered public policies are essential to achieve the full potential of AI to create value for our society and retain U.S. leadership in AI innovation.<\/p>\n<p><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/committees\/aipc\/AIPC_About.pdf\" target=\"_blank\" rel=\"noopener\">About AIPC 1-pager<\/a><\/p>\n<\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-bottom:15px;width:100%;\"><div class=\"fusion-separator-border sep-single\" style=\"--awb-height:20px;--awb-amount:20px;border-color:var(--awb-color6);border-top-width:4px;\"><\/div><\/div><div class=\"fusion-text fusion-text-2\" style=\"--awb-text-transform:none;\"><h2>Position Statements<\/h2>\n<div class=\"stp-bubble-wrap stp-archive stp-archive-committee-ai-policy\"><ul>\r\n  <li><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/positions\/ai\/AI_and_Electric_Grid_0525.pdf\" target=\"_blank\">\r\n    AI and The Electric Grid<\/a> (May 2025)  <\/li>\r\n\r\n  <li><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/positions\/ai\/AI_Education_Pipeline_Workforce_Alignment_1124.pdf\" target=\"_blank\">\r\n    Artificial Intelligence: Education Pipeline &amp; Workforce Alignment for National Competitiveness<\/a> (Nov 2024)  <\/li>\r\n\r\n  <li><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/positions\/ai\/Democratic_Use_of_AI_1124.pdf\" target=\"_blank\">\r\n    Democratic Use of Artificial Intelligence<\/a> (Nov 2024)  <\/li>\r\n\r\n  <li><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/positions\/ai\/Privacy_Equity_Justice_1124.pdf\" target=\"_blank\">\r\n    Privacy, Equity and Justice in Artificial Intelligence<\/a> (Nov 2024)  <\/li>\r\n\r\n  <li><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/positions\/ai\/AIAudits0224.pdf\" target=\"_blank\">\r\n    Auditing of Automated Decision Systems<\/a> (Feb 2024)  <\/li>\r\n\r\n  <li><a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/positions\/ai\/EffectiveGovernanceofAI1123.pdf\" target=\"_blank\">\r\n    Effective Governance of Artificial Intelligence<\/a> (Nov 2023)  <\/li>\r\n<\/ul><\/div>\n<\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-text-transform:none;\"><h2>Policy Communications<\/h2>\n<\/div><div class=\"fusion-text fusion-text-4\" style=\"--awb-text-transform:none;\"><p>Please visit the <a href=\"https:\/\/ieeeusa.org\/public-policy\/log\/\">Policy Log<\/a> for a full list of IEEE-USA&#8217;s communications to the US government: <a href=\"https:\/\/ieeeusa.org\/public-policy\/log\/\">ieeeusa.org\/public-policy\/log\/<\/a><\/p>\n<h2>Testimony<\/h2>\n<ul>\n<li>22 January 2020 \u2013 Marc Canellas\u2019 testimony before the New York City Council Committee on Technology on <a href=\"https:\/\/ieeeusa.org\/assets\/public-policy\/committees\/aipc\/Canellas_Jan2020_NYCCTestimony.pdf\" target=\"_blank\" rel=\"noopener\">Local Law 49 of 2018 in Relation to Automated Decision Systems Used by Agencies<\/a>. [<a href=\"https:\/\/legistar.council.nyc.gov\/MeetingDetail.aspx?ID=756968&amp;GUID=29623EAE-8C50-4ECA-BE42-CE27E456C5DE&amp;Options=info&amp;Search=#\" target=\"_blank\" rel=\"noopener noreferrer\">recorded video<\/a> \u2013 Canellas\u2019 testimony begins at 1:40:00)<\/li>\n<\/ul>\n<h2>News<\/h2>\n<ul>\n<li><a href=\"https:\/\/spectrum.ieee.org\/members-advocate-for-ai-regulations\" target=\"_blank\" rel=\"noopener\">Members Advocate for AI Regulations During Visit to U.S. Congress: AI Policy Committee Member Emile Loza de Siles brings students to DC for annual IEEE-USA CVD<\/a> (<em>IEEE Spectrum<\/em>, 17 August 2023)<\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_4 1_4 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:25%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-builder-row fusion-builder-row-inner fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"width:calc( 100% + 20px ) !important;max-width:calc( 100% + 20px ) !important;margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-0 fusion_builder_column_inner_1_1 1_1 fusion-flex-column\" style=\"--awb-padding-top:20px;--awb-padding-right:20px;--awb-padding-bottom:15px;--awb-padding-left:20px;--awb-bg-color:#f2f3f5;--awb-bg-color-hover:#f2f3f5;--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-5\" style=\"--awb-text-transform:none;\"><h3>Committee Chairs<\/h3>\n<p>Cari L. Miller, Ph.D.<br \/>\nKarim Ginena<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column_inner fusion-builder-nested-column-1 fusion_builder_column_inner_1_1 1_1 fusion-flex-column\" style=\"--awb-padding-top:20px;--awb-padding-right:20px;--awb-padding-bottom:15px;--awb-padding-left:20px;--awb-bg-color:#f2f3f5;--awb-bg-color-hover:#f2f3f5;--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-6\"><h3>Staff Contact<\/h3>\n<p>Erica Wissolik<br \/>\nProgram Manager, Government Activities<br \/>\nPhone: 202-530-8347<br \/>\nEmail:\u00a0<a href=\"mailto:e.wissolik@ieee.org\">e.wissolik@ieee.org<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:15px;--awb-margin-top:25px;--awb-margin-bottom:0px;--awb-background-color:var(--awb-color3);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1260px + 60px );margin-left: calc(-60px \/ 2 );margin-right: calc(-60px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:30px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-center fusion-title-highlight fusion-animate-once fusion-highlight-circle fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color5);--awb-highlight-color:rgba(190,30,45,0.82);--awb-highlight-width:7;--awb-margin-bottom:25px;--awb-font-size:36px;\" data-highlight=\"circle\"><h2 class=\"fusion-title-heading title-heading-center fusion-responsive-typography-calculated\" style=\"margin:0;font-size:1em;--fontSize:36;line-height:1.1;\"><span class=\"fusion-highlighted-text-prefix\"><\/span> <span class=\"fusion-highlighted-text-wrapper\"><span class=\"fusion-highlighted-text\" style=\"color:var(--awb-color1);\">AI<\/span><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 500 150\" preserveAspectRatio=\"none\"><path d=\"M344.6,40.1c0,0-293-3.4-330.7,40.3c-5.2,6-3.5,15.3,3.3,19.4c65.8,39,315.8,42.3,451.2-3 c6.3-2.1,12-6.1,16-11.4C527.9,27,242,16.1,242,16.1\"><\/path><\/svg><\/span> <span class=\"fusion-highlighted-text-postfix\">Resources<\/span><\/h2><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-7\" style=\"--awb-line-height:1.5em;\"><p><strong><a href=\"https:\/\/ieeeusa.org\/?sdm_process_download=1&amp;download_id=56531\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"lazyload wp-image-56532 alignleft\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM.png\" alt=\"A Flexible Maturity Model for AI Governance Based on the NIST AI Risk Management Framework\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-66x83.png 66w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-177x221.png 177w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-300x375.png 300w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM-320x400.png 320w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2024\/07\/FMM.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><\/a><a href=\"https:\/\/ieeeusa.org\/product\/a-flexible-maturity-model-for-ai-governance\/\" target=\"_blank\" rel=\"noopener noreferrer\">A Flexible Maturity Model for AI Governance Based on the NIST AI Risk Management Framework<\/a><\/strong> \u2013\u00a0This new IEEE-USA AI Policy Committee publication presents a flexible maturity model to improve AI governance, leveraging the NIST AI Risk Management Framework (AI RMF). The maturity model includes a questionnaire and a set of scoring guidelines. Key aspects of flexibility include multiple granularity levels for questions, modifications based on the life cycle stage of systems being evaluated (e.g., planning, data collection\/model building, or deployment), and modifications based on whether an organization has multiple AI systems to evaluate.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-8\"><p><strong><a href=\"https:\/\/ieeeusa.org\/?sdm_process_download=1&amp;download_id=55731\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"lazyload alignleft wp-image-55732\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2023\/08\/RegulateAI-275x344-1.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2023\/08\/RegulateAI-275x344-1.png\" alt=\"How should we regulate AI?\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2023\/08\/RegulateAI-275x344-1-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2023\/08\/RegulateAI-275x344-1-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2023\/08\/RegulateAI-275x344-1-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2023\/08\/RegulateAI-275x344-1.png 275w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><\/a><a href=\"https:\/\/ieeeusa.org\/product\/how-should-we-regulate-ai\/\" target=\"_blank\" rel=\"noopener noreferrer\">How Should We Regulate AI?<\/a><\/strong> \u2013 Practical strategies for regulation and risk management from the IEEE1012 Standard for System, Software, and Hardware Verification and Validation.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-5 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-9\"><p><strong><a href=\"https:\/\/ieeeusa.org\/product\/trustworthy-evidence-for-trustworthy-technology\/\"><img decoding=\"async\" class=\"lazyload alignleft wp-image-55158\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust.png\" alt=\"Trustworthy Evidence For Trustworthy Technology\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2022\/09\/Trust.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><\/a><a href=\"https:\/\/ieeeusa.org\/product\/trustworthy-evidence-for-trustworthy-technology\/\" target=\"_blank\" rel=\"noopener noreferrer\">Trustworthy Evidence For Trustworthy Technology<\/a><\/strong> \u2013 This new publication from the IEEE Global Initiative\u2019s Law Committee and the IEEE-USA AI Policy Committee discusses three components of trustworthiness, with a particular focus on evidence required for establishing the trustworthiness of a system.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-6 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-10\"><p><strong><img decoding=\"async\" class=\"lazyload alignleft wp-image-54944\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1-250x313.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1-250x313.png\" alt=\"Artificial Intelligence &amp; Machine Learning Applied to Cybersecurity\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-confluence-report-400x500-1.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><a href=\"https:\/\/www.ieee.org\/content\/dam\/ieee-org\/ieee\/web\/org\/about\/industry\/ieee_confluence_report.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Artificial Intelligence &amp; Machine Learning Applied to Cybersecurity<\/a><\/strong>: The result of an intensive three-day IEEE Confluence 6-8 October 2017<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-7 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-11\"><p><strong><img decoding=\"async\" class=\"lazyload alignleft wp-image-54970\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly-250x313.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly-250x313.png\" alt=\"\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/7-Deadly.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><a href=\"https:\/\/www.technologyreview.com\/s\/609048\/the-seven-deadly-sins-of-ai-predictions\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Seven Deadly Sins of AI Predictions<\/a><\/strong>\u00a0\u2013 Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future (Rodney Brooks)<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-8 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-12\"><p><strong><img decoding=\"async\" class=\"lazyload alignleft wp-image-54969\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox-250x313.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox-250x313.png\" alt=\"\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/AI-Paradox.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><a href=\"https:\/\/www.technologyreview.com\/s\/609318\/the-great-ai-paradox\/\" target=\"_blank\" rel=\"noopener noreferrer\">The Great AI Paradox<\/a><\/strong>\u00a0\u2013 Don\u2019t worry about supersmart AI eliminating all the jobs. That\u2019s just a distraction from the problems even relatively dumb computers are causing (Brian Bergstein)<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-9 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-13\"><p><strong><img decoding=\"async\" class=\"lazyload alignleft wp-image-54529\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover-250x313.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover-250x313.png\" alt=\"AI: A Global Survey\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2019\/10\/ai-global-survey-cover.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><a href=\"https:\/\/ieeeusa.org\/product\/ai-a-global-survey\/\" target=\"_blank\" rel=\"noopener noreferrer\">AI: A Global Survey<\/a><\/strong> \u2013 This AI survey provides an overview of the current national AI strategies of 26 different countries, helping US policymakers and others in the space understand the global context of AI. (Raine Sagramsingh)<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-10 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-14\"><p><img decoding=\"async\" class=\"lazyload alignleft wp-image-54971\" src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd-250x313.png\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd-250x313.png\" alt=\"CertifAIEd\" width=\"100\" height=\"125\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27125%27%20viewBox%3D%270%200%20100%20125%27%3E%3Crect%20width%3D%27100%27%20height%3D%27125%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd-140x175.png 140w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd-200x250.png 200w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd-250x313.png 250w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd-275x344.png 275w, https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/CertifAIEd.png 400w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 100px) 100vw, 100px\" \/><a href=\"https:\/\/engagestandards.ieee.org\/ieeecertifaied.html\" target=\"_blank\" rel=\"noopener\"><b>IEEE AI Ethics Certification Program<\/b><\/a><br \/>\nIEEE CertifAIEd<sup>TM<\/sup>\u00a0is a certification program for assessing ethics of Autonomous Intelligent Systems (AIS) solutions to help protect, differentiate and grow product adoption.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-11 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-15\"><p><img decoding=\"async\" class=\"lazyload alignleft wp-image-54972\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%27129%27%20viewBox%3D%270%200%20100%20129%27%3E%3Crect%20width%3D%27100%27%20height%3D%27129%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/EAD1e_book-2.png\" alt=\"Ethically Aligned Design\" width=\"100\" height=\"129\" \/><a href=\"https:\/\/ethicsinaction.ieee.org\/#read\" target=\"_blank\" rel=\"noopener\"><b>IEEE AI Ethics in Action<\/b><\/a><br \/>\nThe\u00a0<em>Ethically Aligned Design<\/em>\u00a0series was created to highlight specific aspects of the seminal document\u00a0<a href=\"https:\/\/ethicsinaction.ieee.org\/wp-content\/uploads\/ead1e.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"><em>Ethically Aligned Design<\/em>: Prioritizing Human Wellbeing\u00a0with Autonomous and Intelligent Systems<\/a>. <a href=\"https:\/\/ethicsinaction.ieee.org\/\" target=\"_blank\" rel=\"noopener\">More Info \u2192<\/a><\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-12 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-16\"><p><a href=\"https:\/\/standards.ieee.org\/initiatives\/artificial-intelligence-systems\/\" target=\"_blank\" rel=\"noopener\"><b>IEEE AI Standards<\/b><\/a><br \/>\nThe IEEE SA global community is developing accessible and sustainable approaches and solutions for practical application of AIS principles and frameworks.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-13 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:0px;--awb-spacing-right-large:30px;--awb-margin-bottom-large:20px;--awb-spacing-left-large:30px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:30px;--awb-spacing-left-medium:30px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:30px;--awb-spacing-left-small:30px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-17\"><p><img decoding=\"async\" class=\"lazyload alignleft wp-image-54967\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27100%27%20height%3D%2765%27%20viewBox%3D%270%200%20100%2065%27%3E%3Crect%20width%3D%27100%27%20height%3D%2765%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-orig-src=\"https:\/\/ieeeusa.org\/wp-content\/uploads\/2020\/11\/ieee-smart-cities.png\" alt=\"\" width=\"100\" height=\"65\" \/><a href=\"https:\/\/smartcities.ieee.org\/\" target=\"_blank\" rel=\"noopener\"><b>IEEE Smart Cities<\/b><\/a><br \/>\nIEEE Smart Cities brings together IEEE\u2019s broad array of technical societies and organizations to advance the state of the art for smart city technologies for the benefit of society.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":57654,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"portfolio_category":[61],"portfolio_skills":[],"portfolio_tags":[],"class_list":["post-968","avada_portfolio","type-avada_portfolio","status-publish","format-standard","has-post-thumbnail","hentry","portfolio_category-government-relations"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI Policy Committee (AIPC) | IEEE-USA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ieeeusa.org\/committees\/aipc\/\" \/>\n<meta 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