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	<title>Definition:Right to erasure - Revision history</title>
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	<updated>2026-06-13T19:54:57Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🔒 &amp;#039;&amp;#039;&amp;#039;Right to erasure&amp;#039;&amp;#039;&amp;#039; — also known as the &amp;quot;right to be forgotten&amp;quot; — is a data-privacy principle that grants individuals the ability to request the deletion of their personal data from an organization&amp;#039;s records, and it carries particular weight in the insurance industry, where [[Definition:Insurance carrier | carriers]], [[Definition:Insurance broker | brokers]], and [[Definition:Third-party administrator (TPA) | third-party administrators]] hold vast quantities of sensitive personal and health information. Rooted in the European Union&amp;#039;s General Data Protection Regulation (GDPR) and echoed in various U.S. state privacy laws, the right to erasure forces insurers to implement robust data-governance frameworks capable of locating, isolating, and deleting a specific individual&amp;#039;s data across often complex, legacy-heavy technology stacks.&lt;br /&gt;
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⚙️ When a policyholder or claimant submits an erasure request, the insurer must determine whether a legal basis for retaining the data overrides the request — for example, regulatory retention requirements for [[Definition:Claims | claims]] records, [[Definition:Anti-money laundering (AML) | anti-money laundering]] obligations, or ongoing [[Definition:Litigation | litigation]] holds. If no such basis exists, every system that stores the requester&amp;#039;s data — from [[Definition:Policy administration system | policy administration systems]] and [[Definition:Claims management system | claims management systems]] to [[Definition:Data warehouse | data warehouses]] and third-party analytics platforms — must purge it within mandated timeframes. [[Definition:Insurtech | Insurtech]] firms that rely on [[Definition:Machine learning | machine learning]] models trained on customer data face an additional layer of complexity: removing an individual&amp;#039;s contribution to a trained algorithm can require model retraining or documentation proving the data is no longer individually recoverable.&lt;br /&gt;
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⚖️ Failure to honor erasure requests exposes insurers to substantial regulatory fines, reputational damage, and erosion of customer trust — all of which have direct bottom-line consequences in a market where consumers increasingly choose carriers based on data-stewardship reputation. Beyond compliance, the right to erasure is reshaping how the industry designs its data architecture from the ground up: newer [[Definition:Core system | core systems]] incorporate privacy-by-design principles, tagging data with retention rules and ownership metadata at the point of capture. For an industry that has historically viewed data accumulation as an unqualified asset, the right to erasure introduces a counterbalancing obligation that demands ongoing investment in governance, technology, and training.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Data privacy]]&lt;br /&gt;
* [[Definition:General Data Protection Regulation (GDPR)]]&lt;br /&gt;
* [[Definition:Data governance]]&lt;br /&gt;
* [[Definition:Regulatory compliance]]&lt;br /&gt;
* [[Definition:Privacy by design]]&lt;br /&gt;
* [[Definition:Data retention policy]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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