{"id":15024,"date":"2024-06-04T08:00:00","date_gmt":"2024-06-04T12:00:00","guid":{"rendered":"https:\/\/wwwcp.umes.edu\/pr\/?p=15024"},"modified":"2026-07-13T21:00:48","modified_gmt":"2026-07-14T01:00:48","slug":"this-is-going-to-put-umes-on-the-map","status":"publish","type":"post","link":"https:\/\/wwwcp.umes.edu\/scm\/this-is-going-to-put-umes-on-the-map\/","title":{"rendered":"\u2018This is going to put UMES on the map\u2019"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Dr.-Gopalan-Presenting-at-Facial-Recognition-Conference-1024x682.jpg\" alt=\"\" class=\"wp-image-15029\" width=\"671\" height=\"447\" srcset=\"https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Dr.-Gopalan-Presenting-at-Facial-Recognition-Conference-1024x682.jpg 1024w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Dr.-Gopalan-Presenting-at-Facial-Recognition-Conference-300x200.jpg 300w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Dr.-Gopalan-Presenting-at-Facial-Recognition-Conference-768x511.jpg 768w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Dr.-Gopalan-Presenting-at-Facial-Recognition-Conference-1536x1022.jpg 1536w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Dr.-Gopalan-Presenting-at-Facial-Recognition-Conference.jpg 2048w\" sizes=\"auto, (max-width: 671px) 100vw, 671px\" \/><figcaption class=\"wp-element-caption\">Dr. Sandeep Gopalan, the Interim Vice President for Research at UMES, addresses attendees at the Facial Recognition Technology Conference on May 10, organized by the University of Maryland Eastern Shore.(Zilal Mohamed photo)<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">As artificial intelligence tools and facial recognition see increased usage in law enforcement, there are understandable concerns about privacy and equity in their application.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">How law enforcement officials can utilize these emerging technologies to foster trust and create regulation standards highlighted the May 10 \u201cFacial Recognition Technology in Law Enforcement: Regulations and Trust\u201d conference, organized by the University of Maryland Eastern Shore.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The forum is part of UMES\u2019s research on the use of facial recognition technology in the justice system, funded through a grant from the Governor\u2019s Office of Crime Prevention\u2019s <a href=\"https:\/\/wwwcp.umes.edu\/pr\/building-accountability-and-trust\/\" data-type=\"post\" data-id=\"14845\" target=\"_blank\" rel=\"noreferrer noopener\">\u201cBuilding Accountability and Trust\u201d program<\/a>. The conference\u2019s panel included remarks from state politicians, federal government officials, researchers, and UMES president <strong>Heidi M. Anderson<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cWe wanted invite speakers from different backgrounds who represent different viewpoints based on their roles,\u201d said Dr. <strong>Lily Tsai<\/strong>, an associate professor in the criminal justice program at UMES, and co-principal investigator in the research. \u201cThey are all experts in terms of using facial recognition and how to regulate these biometric data.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dr. <strong>Sandeep Gopalan<\/strong>, the Interim Vice President for Research at UMES, said the growing use of artificial intelligence has become a \u201chot topic\u201d with the public and law enforcement professionals as it continues to impact how they live and work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThis is a clear example of how AI impacts people in the law enforcement context, because ultimately facial recognition technology relies on machine learning and deep learning, which are techniques in AI,\u201d he said. \u201cPeople want to know what happens when the police use technology to recognize or identify people based on images procured from the internet.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In some cases, there are drawbacks to facial recognition, such as diminished accuracy in identifying people with darker skin tones.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cMost people believe that facial recognition technology is 100% accurate when law enforcement agencies use it,\u201d Tsai said of the results from a survey of the general public taken as part of the research. \u201cBut the reality is that there is misidentification. There are errors, and this is something that most people don\u2019t understand.\u201d<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Gretta-Goodwin-at-Facial-Recognition-1024x682.jpg\" alt=\"\" class=\"wp-image-15028\" width=\"766\" height=\"510\" srcset=\"https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Gretta-Goodwin-at-Facial-Recognition-1024x682.jpg 1024w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Gretta-Goodwin-at-Facial-Recognition-300x200.jpg 300w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Gretta-Goodwin-at-Facial-Recognition-768x511.jpg 768w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Gretta-Goodwin-at-Facial-Recognition-1536x1022.jpg 1536w, https:\/\/wwwcp.umes.edu\/scm\/wp-content\/uploads\/sites\/219\/2024\/06\/Gretta-Goodwin-at-Facial-Recognition.jpg 2048w\" sizes=\"auto, (max-width: 766px) 100vw, 766px\" \/><figcaption class=\"wp-element-caption\">Dr. Gretta Goodwin, Director of the U.S. Government Accountability Office\u2019s Homeland Security and Justice team presents during the Facial Recognition Technology Conference. (Zilal Mohamed photo)<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Gopalan said these limitations with the current technology hit close to home, especially among the members of the UMES campus community.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThat&#8217;s a huge problem for us as an HBCU because potentially our students, when they are on campus or externally exposed to this technology, may face bias,\u201d he said. \u201cSo, if we understand it, hopefully, some of our students will be on the building side of these algorithms to make sure that these biases are removed to the greatest extent possible.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a result of the strong interest in the conference, Tsai is optimistic about UMES both a thought leader and a trendsetter on the subject.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThis is going to put UMES on the map,\u2019 she said. \u201cFacial recognition and AI tools are advanced technology, and there\u2019s more research to be done in this area and in the future.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Gopalan added that the project will ultimately result in recommendations being submitted to the Governor\u2019s Office. The researchers\u2019 goal is for better policies and practices in the use of facial recognition technology to be implemented at the state level.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As artificial intelligence tools and facial recognition see increased usage in law enforcement, there are understandable concerns about privacy and equity in their application. How law enforcement officials can utilize these emerging technologies to foster trust and create regulation standards highlighted the May 10 \u201cFacial Recognition Technology in Law Enforcement: Regulations and Trust\u201d conference, organized&#8230;<span class=\"cpschool-read-more-link-holder\"><a class=\"btn btn-basic cpschool-read-more-link\" href=\"https:\/\/wwwcp.umes.edu\/scm\/this-is-going-to-put-umes-on-the-map\/\">Read more <span class=\"sr-only\">\u2018This is going to put UMES on the map\u2019<\/span><\/a><\/span><\/p>\n","protected":false},"author":1559,"featured_media":15029,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","wds_primary_category":1,"footnotes":""},"categories":[103],"tags":[],"post_folder":[],"class_list":["post-15024","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/posts\/15024","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/users\/1559"}],"replies":[{"embeddable":true,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/comments?post=15024"}],"version-history":[{"count":0,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/posts\/15024\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/media\/15029"}],"wp:attachment":[{"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/media?parent=15024"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/categories?post=15024"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/tags?post=15024"},{"taxonomy":"post_folder","embeddable":true,"href":"https:\/\/wwwcp.umes.edu\/scm\/wp-json\/wp\/v2\/post_folder?post=15024"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}