Bridging AI's trust gaps : aligning policymakers and companies

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rdf:Description>
<dc:creator>Ernst & Young</dc:creator>
<dc:date>2020-07-01</dc:date>
<dc:description xml:lang="es">Sumario: The rapid development of artificial intelligence (AI) is raising urgent questions about ethical and consumer protection issues  from potential bias in algorithmic recruiting decisions to the privacy implications of health monitoring applications. Policymakers have been exploring these issues in depth and are well aligned on identifying the most important ethical principles. They have now reached a pivotal point: moving from articulating principles to implementing public policy.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/172804.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Ernst & Young</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">COVID-19</dc:subject>
<dc:subject xml:lang="es">Pandemias</dc:subject>
<dc:subject xml:lang="es">Ética</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Protección de los consumidores</dc:subject>
<dc:subject xml:lang="es">Privacidad</dc:subject>
<dc:subject xml:lang="es">Encuestas</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">Bridging AI's trust gaps : aligning policymakers and companies</dc:title>
<dc:format xml:lang="es">24 p.</dc:format>
</rdf:Description>
</rdf:RDF>