Privacy in the new world of AI : how to build trust in AI through privacy.

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<dc:creator>Klasovec Kingsmill, Sylvia</dc:creator>
<dc:creator>Dubiniecki, Abigail</dc:creator>
<dc:creator>KPMG</dc:creator>
<dc:date>2023</dc:date>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/184180.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>KPMG</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Empresas</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Protección de datos</dc:subject>
<dc:subject xml:lang="es">Privacidad</dc:subject>
<dc:subject xml:lang="es">Regulación</dc:subject>
<dc:subject xml:lang="es">Transparencia informativa</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="es">Privacy in the new world of AI : how to build trust in AI through privacy.</dc:title>
<dc:format xml:lang="es">16 p.</dc:format>
<dc:coverage xml:lang="es">Ámbito geográfico: Internacional</dc:coverage>
<dc:description xml:lang="es">Data privacy and trust in AI  the promise -- What's next? The evolving regulatory landscape -- Key principles for achieving AI privacy -- Regulatory highlights -- The road ahead: Building trustworthy AI</dc:description>
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