{"id":3525,"date":"2023-09-18T10:55:14","date_gmt":"2023-09-18T10:55:14","guid":{"rendered":"https:\/\/isend.live\/?p=3525"},"modified":"2023-09-18T10:55:14","modified_gmt":"2023-09-18T10:55:14","slug":"the-growing-presence-of-generative-ai-in-government-operations","status":"publish","type":"post","link":"https:\/\/isend.live\/es\/2023\/09\/18\/the-growing-presence-of-generative-ai-in-government-operations\/","title":{"rendered":"La creciente presencia de IA generativa en las operaciones gubernamentales"},"content":{"rendered":"

La creciente presencia de lo generativo AI<\/a> en operaciones gubernamentales<\/strong><\/p>\n

Los gobiernos estatales y locales de Estados Unidos est\u00e1n explorando activamente formas de implementar inteligencia artificial generativa, como ChatGPT, para mejorar la eficiencia administrativa y los servicios p\u00fablicos. Sin embargo, esta r\u00e1pida adopci\u00f3n ha provocado debates sobre implicaciones \u00e9ticas, seguridad de los datos y transparencia p\u00fablica. Las inconsistencias en el enfoque regulatorio hacia estas tecnolog\u00edas avanzadas son evidentes. Por ejemplo, la Agencia de Protecci\u00f3n Ambiental de EE. UU. ha prohibido el acceso de sus empleados a ChatGPT, mientras que el personal del Departamento de Estado de EE. UU. en Guinea lo utiliza para diversas tareas, como redactar discursos.<\/p>\n

La mezcla: diferentes enfoques en los estados<\/h2>\n

Varios estados muestran actitudes contrastantes hacia la IA generativa. Maine, por ejemplo, ha impuesto una prohibici\u00f3n temporal al uso de IA generativa por parte de su poder ejecutivo, citando preocupaciones de ciberseguridad. En marcado contraste, Vermont est\u00e1 animando a sus empleados gubernamentales a utilizar la tecnolog\u00eda con fines educativos, como aprender nuevos lenguajes de programaci\u00f3n, como revel\u00f3 Josiah Raiche, director de inteligencia artificial del estado.<\/p>\n

\"\"<\/p>\n

Gobiernos locales e IA generativa: una mirada m\u00e1s cercana<\/h2>\n

Los municipios tambi\u00e9n est\u00e1n formulando directrices para regular el uso de la IA generativa. San Jos\u00e9, California, ha redactado un documento de directrices integral de 23 p\u00e1ginas y exige que los trabajadores municipales completen formularios cada vez que emplean herramientas de inteligencia artificial como ChatGPT. El condado de Alameda, no lejos de San Jos\u00e9, opta por un enfoque m\u00e1s flexible. Si bien han organizado sesiones educativas sobre los riesgos asociados con la IA, a\u00fan no han establecido una pol\u00edtica formal. Sybil Gurney, subdirectora de informaci\u00f3n del condado, coment\u00f3 que su atenci\u00f3n se centra en "lo que se puede hacer, no en lo que no se puede hacer".<\/p>\n

Optimismo moderado por la responsabilidad<\/h2>\n

Los funcionarios gubernamentales reconocen el potencial de la IA generativa para aliviar las ineficiencias burocr\u00e1ticas. Sin embargo, tambi\u00e9n enfatizan los desaf\u00edos \u00fanicos que plantea la necesidad de transparencia del sector p\u00fablico, el cumplimiento de leyes estrictas y el sentido general de responsabilidad c\u00edvica. Jim Loter, director de tecnolog\u00eda interino de Seattle, enfatiza el elevado nivel de responsabilidad que se requiere al implementar la IA en los procesos gubernamentales. Cree que la divulgaci\u00f3n p\u00fablica y las pr\u00e1cticas equitativas deben ser una prioridad, especialmente teniendo en cuenta lo mucho que est\u00e1 en juego en la toma de decisiones gubernamentales.<\/p>\n

Escenarios que resaltan lo que est\u00e1 en juego: un caso en Iowa<\/h2>\n

Los acontecimientos recientes han demostrado cu\u00e1n alto puede ser lo que est\u00e1 en juego. El mes pasado, un superintendente asistente en Mason City, Iowa, utiliz\u00f3 ChatGPT para ayudar a decidir qu\u00e9 libros deber\u00edan retirarse de las bibliotecas escolares. Este incidente, ordenado por la ley estatal, atrajo la atenci\u00f3n y el escrutinio nacional, lo que gener\u00f3 dudas sobre la responsabilidad de las decisiones de IA en el gobierno.<\/p>\n

Leyes de registros p\u00fablicos y seguridad de datos<\/h2>\n

Hay una capa adicional de complejidad: los registros p\u00fablicos y la seguridad de los datos. San Jos\u00e9, Seattle y el estado de Washington han alertado al personal que cualquier dato utilizado en modelos generativos de IA est\u00e1 sujeto a las leyes de registros p\u00fablicos. Esta informaci\u00f3n tambi\u00e9n se utiliza para entrenar estos modelos de IA, lo que aumenta el riesgo de que se filtre o se maneje mal informaci\u00f3n confidencial. Adem\u00e1s, un estudio del Instituto Stanford para la Inteligencia Artificial Centrada en el Humano se\u00f1ala que cuanto m\u00e1s precisos sean estos modelos de IA, m\u00e1s probabilidades habr\u00e1 de que reutilicen grandes bloques de contenido de sus conjuntos de entrenamiento.<\/p>\n

Desaf\u00edos en atenci\u00f3n m\u00e9dica y justicia penal<\/h2>\n

Las agencias de atenci\u00f3n m\u00e9dica y justicia penal enfrentan un conjunto adicional de problemas. Considere la situaci\u00f3n hipot\u00e9tica en la que los empleados de Seattle utilizan la IA para resumir informes de investigaci\u00f3n de su Oficina de Responsabilidad Policial. Estos informes pueden contener informaci\u00f3n confidencial pero que a\u00fan se incluye en registros p\u00fablicos, lo que a\u00f1ade una capa de complejidad a su uso responsable.<\/p>\n

Implicaciones legales y confianza p\u00fablica<\/h2>\n

En Arizona, los empleados del Tribunal Superior del condado de Maricopa utilizan IA generativa para fines internos, pero Aaron Judy, jefe de innovaci\u00f3n e IA del tribunal, admite que habr\u00eda reservas sobre su uso para comunicaciones p\u00fablicas. La preocupaci\u00f3n subyacente es el dilema \u00e9tico de utilizar las aportaciones de los ciudadanos para entrenar un modelo de IA con fines de lucro.<\/p>\n

IA generativa en tecnolog\u00eda c\u00edvica y pol\u00edticas futuras<\/h2>\n

Las principales empresas y consultoras de tecnolog\u00eda, como Microsoft, Google, Deloitte y Accenture, est\u00e1n promoviendo activamente soluciones de IA generativa a nivel federal. Se espera que las ciudades y los estados refinen y mejoren sus pol\u00edticas en los pr\u00f3ximos meses. Albert Gehami, responsable de privacidad de San Jos\u00e9, predice que estas reglas sufrir\u00e1n una evoluci\u00f3n sustancial a medida que la tecnolog\u00eda madure.<\/p>\n

La necesidad de una supervisi\u00f3n federal<\/h2>\n

Si bien los gobiernos locales y estatales han logrado avances iniciales en la formulaci\u00f3n de pol\u00edticas de IA, existe una necesidad apremiante de directrices federales. Alexandra Reeve Givens, presidenta y directora ejecutiva del Centro para la Democracia y la Tecnolog\u00eda, cree que la situaci\u00f3n exige un \u201cliderazgo claro\u201d del gobierno federal para establecer protocolos detallados y estandarizados.<\/p>\n

Conclusi\u00f3n: el acto de equilibrio<\/h2>\n

A medida que las tecnolog\u00edas de IA generativa se integren cada vez m\u00e1s en las operaciones gubernamentales, el desaf\u00edo ser\u00e1 lograr un equilibrio entre aprovechar sus capacidades para el beneficio p\u00fablico y garantizar la seguridad de los datos, los est\u00e1ndares \u00e9ticos y la transparencia. A medida que los gobiernos contin\u00faen experimentando y aprendiendo, un escrutinio minucioso y una implementaci\u00f3n responsable ser\u00e1n las claves para aprovechar todo el potencial de esta tecnolog\u00eda transformadora.<\/p>","protected":false},"excerpt":{"rendered":"

The Growing Presence of Generative AI in Government Operations State and local governments across the United States are actively exploring ways to implement generative artificial intelligence, such as ChatGPT, to improve administrative efficiency and public services. However, this rapid adoption has ignited debates on ethical implications, data security, and public transparency. Inconsistencies in the regulatory […]<\/p>\n","protected":false},"author":2,"featured_media":3526,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[23],"tags":[257,260,258,210,255,254,263,262,256,261,259],"class_list":["post-3525","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-whatsapp","tag-accountability","tag-criminal-justice","tag-data-security","tag-generative-ai","tag-government-operations","tag-growing-presence","tag-healthcare","tag-legal-implications","tag-mixed-bag","tag-public-trust","tag-record-laws"],"yoast_head":"\nThe Growing Presence of Generative AI in Government Operations<\/title>\n<meta name=\"description\" content=\"The Growing Presence of Generative AI in Government Operations. 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