Smart systems, blind spots : rethinking insurance for the AI era
<?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>Gallagher Re</dc:creator>
<dc:creator>Gallagher Re</dc:creator>
<dc:date>2026</dc:date>
<dc:description xml:lang="es">Sumario: This paper analyses how the rapid adoption of artificial intelligence is creating a growing category of uninsured risk for enterprises. It examines why traditional insurance lines only provide fragmented responses to AI-related liabilities such as hallucinations, algorithmic bias, model drift and data poisoning. Through litigation analysis and real case studies, it shows how responsibility is increasingly placed on AI deployers rather than vendors. The report reviews current insurance products, emerging standalone AI policies and market endorsements. It concludes with recommendations for insurers, reinsurers and enterprises to close the AI protection gap</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/190331.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Gallagher Re</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Mercado de seguros</dc:subject>
<dc:subject xml:lang="es">Riesgos emergentes</dc:subject>
<dc:subject xml:lang="es">Responsabilidad civil</dc:subject>
<dc:subject xml:lang="es">Gerencia de riesgos</dc:subject>
<dc:subject xml:lang="es">Reaseguro</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="es">Smart systems, blind spots : rethinking insurance for the AI era</dc:title>
<dc:format xml:lang="es">28 p.</dc:format>
<dc:description xml:lang="es">Foreword -- Introduction: The AI Risk Landscape -- Current Coverage Landscape: A Fragmented Response -- The Gap: Where Traditional Insurance Falls Short -- Addressing the Gaps Between AI Risk and Coverage -- The Path Forward</dc:description>
</rdf:Description>
</rdf:RDF>