Smart systems, blind spots : rethinking insurance for the AI era

<?xml version="1.0" encoding="UTF-8"?><modsCollection xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-8.xsd">
<mods version="3.8">
<titleInfo>
<title>Smart systems, blind spots : rethinking insurance for the AI era</title>
</titleInfo>
<name type="corporate" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20220004640">
<namePart>Gallagher Re</namePart>
<nameIdentifier>MAPA20220004640</nameIdentifier>
</name>
<name type="corporate" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20220004640">
<namePart>Gallagher Re</namePart>
<nameIdentifier>MAPA20220004640</nameIdentifier>
</name>
<typeOfResource>text</typeOfResource>
<originInfo>
<place>
<placeTerm type="code" authority="marccountry">gbr</placeTerm>
</place>
<issuance>monographic</issuance>
<place>
<placeTerm type="text">London</placeTerm>
</place>
<publisher>Gallagher Re</publisher>
<dateIssued>2026</dateIssued>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription>
<form authority="marcform">print</form>
<extent>28 p.</extent>
</physicalDescription>
<abstract displayLabel="Summary">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</abstract>
<tableOfContents displayLabel="Contents">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</tableOfContents>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080611200">
<topic>Inteligencia artificial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080586294">
<topic>Mercado de seguros</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20100017982">
<topic>Riesgos emergentes</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080603588">
<topic>Responsabilidad civil</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080591182">
<topic>Gerencia de riesgos</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080552367">
<topic>Reaseguro</topic>
</subject>
<classification authority="">216.1</classification>
<location>
<url displayLabel="electronic resource" usage="primary display">https://www.ajg.com/gallagherre/-/media/files/gallagher/gallagherre/news-and-insights/2026/march/rethinking-insurance-for-the-ai-era.pdf</url>
</location>
<recordInfo>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">260413</recordCreationDate>
<recordChangeDate encoding="iso8601">20260413173904.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20260010687</recordIdentifier>
<languageOfCataloging>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
</languageOfCataloging>
</recordInfo>
</mods>
</modsCollection>