L’exactitud no significa que totes les dades hagin de ser absolutament veritables<\/h3>\n\n- El realment rellevant \u00e9s que les dades siguin adequades per a la finalitat concreta del tractament.<\/li>\n
- L’exactitud s’ha de valorar en funci\u00f3 de l’\u00fas que es faci de les dades i dels efectes que aquest tractament pugui produir sobre les persones.<\/span><\/li>\n<\/ul>\n
La qualitat cal avaluar-la sobre el conjunt de dades, no sols sobre cada registre<\/h3>\n\n- La qualitat del tractament no dep\u00e8n \u00fanicament que cada dada individual sigui correcta. Cal analitzar el conjunt de dades usat per entrenar el sistema.<\/span><\/li>\n
- Aspectes com la representativitat, l’abs\u00e8ncia de biaixos, la rellev\u00e0ncia de les mostres o les propietats estad\u00edstiques del conjunt poden ser determinants per obtenir resultats fiables.<\/span><\/li>\n
- Un conjunt de dades aparentment correcte pot no ser adequat si presenta biaixos o no representa correctament la realitat sobre la qual ha d’operar el sistema.<\/span><\/li>\n<\/ul>\n
La qualitat tamb\u00e9 cal analitzar-la en els resultats generats per la IA<\/h3>\n\n- Tamb\u00e9 s’han d’avaluar els resultats generats pel mateix sistema, siguin infer\u00e8ncies, perfils, prediccions siguin decisions automatitzades.<\/li>\n
- Quan aquests resultats afecten directament persones f\u00edsiques, hauran d’evitar representacions incorrectes, distorsionades o desproporcionades que puguin perjudicar els seus drets o interessos.<\/span><\/li>\n<\/ul>\n
Dades sint\u00e8tiques, anonimitzaci\u00f3 i correcci\u00f3 de biaixos poden ser compatibles amb el RGPD<\/h3>\n\n- Determinades t\u00e8cniques habituals en el desenvolupament d’IA poden ser compatibles amb el principi d’exactitud. Entre elles el document cita:\n
\n- L’anonimitzaci\u00f3;<\/li>\n
- La generaci\u00f3 de dades sint\u00e8tiques;<\/li>\n
- La privacitat diferencial;<\/li>\n
- Les t\u00e8cniques de correcci\u00f3 o reducci\u00f3 de biaixos.<\/li>\n<\/ul>\n<\/li>\n
- Aquestes eines poden utilitzar valors que no reflecteixin exactament la realitat individual i, aix\u00ed i tot, complir el RGPD, sempre que resultin adequades per a la finalitat perseguida i no generin efectes negatius sobre les persones afectades.<\/li>\n<\/ul>\n
La governan\u00e7a de la dada cobra encara m\u00e9s import\u00e0ncia<\/h3>\n
L’AEPD insisteix que les empreses hauran de definir de manera objectiva els requisits de qualitat de les dades abans d’iniciar el tractament. A m\u00e9s, recomana establir m\u00e8triques, documentar els criteris utilitzats i fer un seguiment continu durant tot el cicle de vida del sistema d’intel\u00b7lig\u00e8ncia artificial.<\/p>\n
Qu\u00e8 haurien de revisar ara les empreses que desenvolupin, implantin o usin sistemes d’intel\u00b7lig\u00e8ncia artificial\u00a0 ?<\/h3>\n\n- Que la finalitat del tractament estigui clarament definida;<\/li>\n
- Que els conjunts de dades usades siguin adequats i representatius;<\/li>\n
- Que existeixin mecanismes per a detectar i corregir biaixos;<\/li>\n
- Que es documentin els criteris de qualitat aplicats;<\/li>\n
- Que els resultats generats per la IA siguin objecte de revisi\u00f3 quan puguin afectar persones f\u00edsiques;<\/li>\n
- i que tot el proc\u00e9s quedi degudament documentat dins del model de governan\u00e7a de la dada.<\/li>\n<\/ul>\n
Conclusi\u00f3:<\/h3>\n
Lluny d’imposar noves obligacions, el document proporciona criteris interpretatius que permeten aplicar la normativa de protecci\u00f3 de dades amb un enfocament basat en la finalitat del tractament, la qualitat de les dades i la protecci\u00f3 efectiva dels drets de les persones.<\/p>\n
Per a les empreses que ja usen intel\u00b7lig\u00e8ncia artificial o preveuen incorporar-la als seus processos, aquesta publicaci\u00f3 constitueix una guia de gran utilitat per a revisar els seus sistemes de governan\u00e7a de la dada i refor\u00e7ar el compliment del RGPD des del disseny.<\/p>\n
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La qualitat cal avaluar-la sobre el conjunt de dades, no sols sobre cada registre<\/h3>\n\n- La qualitat del tractament no dep\u00e8n \u00fanicament que cada dada individual sigui correcta. Cal analitzar el conjunt de dades usat per entrenar el sistema.<\/span><\/li>\n
- Aspectes com la representativitat, l’abs\u00e8ncia de biaixos, la rellev\u00e0ncia de les mostres o les propietats estad\u00edstiques del conjunt poden ser determinants per obtenir resultats fiables.<\/span><\/li>\n
- Un conjunt de dades aparentment correcte pot no ser adequat si presenta biaixos o no representa correctament la realitat sobre la qual ha d’operar el sistema.<\/span><\/li>\n<\/ul>\n
La qualitat tamb\u00e9 cal analitzar-la en els resultats generats per la IA<\/h3>\n\n- Tamb\u00e9 s’han d’avaluar els resultats generats pel mateix sistema, siguin infer\u00e8ncies, perfils, prediccions siguin decisions automatitzades.<\/li>\n
- Quan aquests resultats afecten directament persones f\u00edsiques, hauran d’evitar representacions incorrectes, distorsionades o desproporcionades que puguin perjudicar els seus drets o interessos.<\/span><\/li>\n<\/ul>\n
Dades sint\u00e8tiques, anonimitzaci\u00f3 i correcci\u00f3 de biaixos poden ser compatibles amb el RGPD<\/h3>\n\n- Determinades t\u00e8cniques habituals en el desenvolupament d’IA poden ser compatibles amb el principi d’exactitud. Entre elles el document cita:\n
\n- L’anonimitzaci\u00f3;<\/li>\n
- La generaci\u00f3 de dades sint\u00e8tiques;<\/li>\n
- La privacitat diferencial;<\/li>\n
- Les t\u00e8cniques de correcci\u00f3 o reducci\u00f3 de biaixos.<\/li>\n<\/ul>\n<\/li>\n
- Aquestes eines poden utilitzar valors que no reflecteixin exactament la realitat individual i, aix\u00ed i tot, complir el RGPD, sempre que resultin adequades per a la finalitat perseguida i no generin efectes negatius sobre les persones afectades.<\/li>\n<\/ul>\n
La governan\u00e7a de la dada cobra encara m\u00e9s import\u00e0ncia<\/h3>\n
L’AEPD insisteix que les empreses hauran de definir de manera objectiva els requisits de qualitat de les dades abans d’iniciar el tractament. A m\u00e9s, recomana establir m\u00e8triques, documentar els criteris utilitzats i fer un seguiment continu durant tot el cicle de vida del sistema d’intel\u00b7lig\u00e8ncia artificial.<\/p>\n
Qu\u00e8 haurien de revisar ara les empreses que desenvolupin, implantin o usin sistemes d’intel\u00b7lig\u00e8ncia artificial\u00a0 ?<\/h3>\n\n- Que la finalitat del tractament estigui clarament definida;<\/li>\n
- Que els conjunts de dades usades siguin adequats i representatius;<\/li>\n
- Que existeixin mecanismes per a detectar i corregir biaixos;<\/li>\n
- Que es documentin els criteris de qualitat aplicats;<\/li>\n
- Que els resultats generats per la IA siguin objecte de revisi\u00f3 quan puguin afectar persones f\u00edsiques;<\/li>\n
- i que tot el proc\u00e9s quedi degudament documentat dins del model de governan\u00e7a de la dada.<\/li>\n<\/ul>\n
Conclusi\u00f3:<\/h3>\n
Lluny d’imposar noves obligacions, el document proporciona criteris interpretatius que permeten aplicar la normativa de protecci\u00f3 de dades amb un enfocament basat en la finalitat del tractament, la qualitat de les dades i la protecci\u00f3 efectiva dels drets de les persones.<\/p>\n
Per a les empreses que ja usen intel\u00b7lig\u00e8ncia artificial o preveuen incorporar-la als seus processos, aquesta publicaci\u00f3 constitueix una guia de gran utilitat per a revisar els seus sistemes de governan\u00e7a de la dada i refor\u00e7ar el compliment del RGPD des del disseny.<\/p>\n
<\/p>\n
<\/h5>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
L’Ag\u00e8ncia Espanyola de Protecci\u00f3 de Dades (AEPD) ha publicat un document que proporciona criteris pr\u00e0ctics per a responsables del tractament, encarregats i delegats de protecci\u00f3 de dades que hagin de treballar amb la intelig\u00e8ncia artificial (IA). L’Ag\u00e8ncia Espanyola de Protecci\u00f3 de Dades (AEPD) ha publicat una nota t\u00e8cnica que recorda que el Reglament general de […]<\/p>\n","protected":false},"author":18,"featured_media":15100,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"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":"","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":[21,15],"tags":[3483,3484,3482],"class_list":["post-15103","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-butlleti-mensual","category-rm-assessors","tag-ia-proteccio-dades","tag-regulacio-inteligencia-artificial","tag-requisits-inteligencia-artificial"],"acf":[],"yoast_head":"\n
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La qualitat tamb\u00e9 cal analitzar-la en els resultats generats per la IA<\/h3>\n\n- Tamb\u00e9 s’han d’avaluar els resultats generats pel mateix sistema, siguin infer\u00e8ncies, perfils, prediccions siguin decisions automatitzades.<\/li>\n
- Quan aquests resultats afecten directament persones f\u00edsiques, hauran d’evitar representacions incorrectes, distorsionades o desproporcionades que puguin perjudicar els seus drets o interessos.<\/span><\/li>\n<\/ul>\n
Dades sint\u00e8tiques, anonimitzaci\u00f3 i correcci\u00f3 de biaixos poden ser compatibles amb el RGPD<\/h3>\n\n- Determinades t\u00e8cniques habituals en el desenvolupament d’IA poden ser compatibles amb el principi d’exactitud. Entre elles el document cita:\n
\n- L’anonimitzaci\u00f3;<\/li>\n
- La generaci\u00f3 de dades sint\u00e8tiques;<\/li>\n
- La privacitat diferencial;<\/li>\n
- Les t\u00e8cniques de correcci\u00f3 o reducci\u00f3 de biaixos.<\/li>\n<\/ul>\n<\/li>\n
- Aquestes eines poden utilitzar valors que no reflecteixin exactament la realitat individual i, aix\u00ed i tot, complir el RGPD, sempre que resultin adequades per a la finalitat perseguida i no generin efectes negatius sobre les persones afectades.<\/li>\n<\/ul>\n
La governan\u00e7a de la dada cobra encara m\u00e9s import\u00e0ncia<\/h3>\n
L’AEPD insisteix que les empreses hauran de definir de manera objectiva els requisits de qualitat de les dades abans d’iniciar el tractament. A m\u00e9s, recomana establir m\u00e8triques, documentar els criteris utilitzats i fer un seguiment continu durant tot el cicle de vida del sistema d’intel\u00b7lig\u00e8ncia artificial.<\/p>\n
Qu\u00e8 haurien de revisar ara les empreses que desenvolupin, implantin o usin sistemes d’intel\u00b7lig\u00e8ncia artificial\u00a0 ?<\/h3>\n\n- Que la finalitat del tractament estigui clarament definida;<\/li>\n
- Que els conjunts de dades usades siguin adequats i representatius;<\/li>\n
- Que existeixin mecanismes per a detectar i corregir biaixos;<\/li>\n
- Que es documentin els criteris de qualitat aplicats;<\/li>\n
- Que els resultats generats per la IA siguin objecte de revisi\u00f3 quan puguin afectar persones f\u00edsiques;<\/li>\n
- i que tot el proc\u00e9s quedi degudament documentat dins del model de governan\u00e7a de la dada.<\/li>\n<\/ul>\n
Conclusi\u00f3:<\/h3>\n
Lluny d’imposar noves obligacions, el document proporciona criteris interpretatius que permeten aplicar la normativa de protecci\u00f3 de dades amb un enfocament basat en la finalitat del tractament, la qualitat de les dades i la protecci\u00f3 efectiva dels drets de les persones.<\/p>\n
Per a les empreses que ja usen intel\u00b7lig\u00e8ncia artificial o preveuen incorporar-la als seus processos, aquesta publicaci\u00f3 constitueix una guia de gran utilitat per a revisar els seus sistemes de governan\u00e7a de la dada i refor\u00e7ar el compliment del RGPD des del disseny.<\/p>\n
<\/p>\n
<\/h5>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
L’Ag\u00e8ncia Espanyola de Protecci\u00f3 de Dades (AEPD) ha publicat un document que proporciona criteris pr\u00e0ctics per a responsables del tractament, encarregats i delegats de protecci\u00f3 de dades que hagin de treballar amb la intelig\u00e8ncia artificial (IA). L’Ag\u00e8ncia Espanyola de Protecci\u00f3 de Dades (AEPD) ha publicat una nota t\u00e8cnica que recorda que el Reglament general de […]<\/p>\n","protected":false},"author":18,"featured_media":15100,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"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":"","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":[21,15],"tags":[3483,3484,3482],"class_list":["post-15103","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-butlleti-mensual","category-rm-assessors","tag-ia-proteccio-dades","tag-regulacio-inteligencia-artificial","tag-requisits-inteligencia-artificial"],"acf":[],"yoast_head":"\n
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Dades sint\u00e8tiques, anonimitzaci\u00f3 i correcci\u00f3 de biaixos poden ser compatibles amb el RGPD<\/h3>\n\n- Determinades t\u00e8cniques habituals en el desenvolupament d’IA poden ser compatibles amb el principi d’exactitud. Entre elles el document cita:\n
\n- L’anonimitzaci\u00f3;<\/li>\n
- La generaci\u00f3 de dades sint\u00e8tiques;<\/li>\n
- La privacitat diferencial;<\/li>\n
- Les t\u00e8cniques de correcci\u00f3 o reducci\u00f3 de biaixos.<\/li>\n<\/ul>\n<\/li>\n
- Aquestes eines poden utilitzar valors que no reflecteixin exactament la realitat individual i, aix\u00ed i tot, complir el RGPD, sempre que resultin adequades per a la finalitat perseguida i no generin efectes negatius sobre les persones afectades.<\/li>\n<\/ul>\n
La governan\u00e7a de la dada cobra encara m\u00e9s import\u00e0ncia<\/h3>\n
L’AEPD insisteix que les empreses hauran de definir de manera objectiva els requisits de qualitat de les dades abans d’iniciar el tractament. A m\u00e9s, recomana establir m\u00e8triques, documentar els criteris utilitzats i fer un seguiment continu durant tot el cicle de vida del sistema d’intel\u00b7lig\u00e8ncia artificial.<\/p>\n
Qu\u00e8 haurien de revisar ara les empreses que desenvolupin, implantin o usin sistemes d’intel\u00b7lig\u00e8ncia artificial\u00a0 ?<\/h3>\n\n- Que la finalitat del tractament estigui clarament definida;<\/li>\n
- Que els conjunts de dades usades siguin adequats i representatius;<\/li>\n
- Que existeixin mecanismes per a detectar i corregir biaixos;<\/li>\n
- Que es documentin els criteris de qualitat aplicats;<\/li>\n
- Que els resultats generats per la IA siguin objecte de revisi\u00f3 quan puguin afectar persones f\u00edsiques;<\/li>\n
- i que tot el proc\u00e9s quedi degudament documentat dins del model de governan\u00e7a de la dada.<\/li>\n<\/ul>\n
Conclusi\u00f3:<\/h3>\n
Lluny d’imposar noves obligacions, el document proporciona criteris interpretatius que permeten aplicar la normativa de protecci\u00f3 de dades amb un enfocament basat en la finalitat del tractament, la qualitat de les dades i la protecci\u00f3 efectiva dels drets de les persones.<\/p>\n
Per a les empreses que ja usen intel\u00b7lig\u00e8ncia artificial o preveuen incorporar-la als seus processos, aquesta publicaci\u00f3 constitueix una guia de gran utilitat per a revisar els seus sistemes de governan\u00e7a de la dada i refor\u00e7ar el compliment del RGPD des del disseny.<\/p>\n
<\/p>\n
<\/h5>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
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- \n
- L’anonimitzaci\u00f3;<\/li>\n
- La generaci\u00f3 de dades sint\u00e8tiques;<\/li>\n
- La privacitat diferencial;<\/li>\n
- Les t\u00e8cniques de correcci\u00f3 o reducci\u00f3 de biaixos.<\/li>\n<\/ul>\n<\/li>\n
- Aquestes eines poden utilitzar valors que no reflecteixin exactament la realitat individual i, aix\u00ed i tot, complir el RGPD, sempre que resultin adequades per a la finalitat perseguida i no generin efectes negatius sobre les persones afectades.<\/li>\n<\/ul>\n
La governan\u00e7a de la dada cobra encara m\u00e9s import\u00e0ncia<\/h3>\n
L’AEPD insisteix que les empreses hauran de definir de manera objectiva els requisits de qualitat de les dades abans d’iniciar el tractament. A m\u00e9s, recomana establir m\u00e8triques, documentar els criteris utilitzats i fer un seguiment continu durant tot el cicle de vida del sistema d’intel\u00b7lig\u00e8ncia artificial.<\/p>\n
Qu\u00e8 haurien de revisar ara les empreses que desenvolupin, implantin o usin sistemes d’intel\u00b7lig\u00e8ncia artificial\u00a0 ?<\/h3>\n
- \n
- Que la finalitat del tractament estigui clarament definida;<\/li>\n
- Que els conjunts de dades usades siguin adequats i representatius;<\/li>\n
- Que existeixin mecanismes per a detectar i corregir biaixos;<\/li>\n
- Que es documentin els criteris de qualitat aplicats;<\/li>\n
- Que els resultats generats per la IA siguin objecte de revisi\u00f3 quan puguin afectar persones f\u00edsiques;<\/li>\n
- i que tot el proc\u00e9s quedi degudament documentat dins del model de governan\u00e7a de la dada.<\/li>\n<\/ul>\n
Conclusi\u00f3:<\/h3>\n
Lluny d’imposar noves obligacions, el document proporciona criteris interpretatius que permeten aplicar la normativa de protecci\u00f3 de dades amb un enfocament basat en la finalitat del tractament, la qualitat de les dades i la protecci\u00f3 efectiva dels drets de les persones.<\/p>\n
Per a les empreses que ja usen intel\u00b7lig\u00e8ncia artificial o preveuen incorporar-la als seus processos, aquesta publicaci\u00f3 constitueix una guia de gran utilitat per a revisar els seus sistemes de governan\u00e7a de la dada i refor\u00e7ar el compliment del RGPD des del disseny.<\/p>\n
<\/p>\n<\/h5>\n
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