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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>1.3 Unequal performance across groups - Vulnerability (Actors)</title>
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<body>
<div class="container">
<h1>1.3 Unequal performance across groups - Vulnerability (Actors)</h1>
<div class="selection-title">Select a actor:</div>
<div class="nav-pills">
<button class="nav-pill active" data-target="AIDeveloperGeneralpurposeAI">
AI Developer (General-purpose AI)
</button>
<button class="nav-pill" data-target="AIDeployer">
AI Deployer
</button>
<button class="nav-pill" data-target="AIGovernanceActor">
AI Governance Actor
</button>
<button class="nav-pill" data-target="AIUser">
AI User
</button>
</div>
<div class="content-sections">
<div class="entity-section active" id="AIDeveloperGeneralpurposeAI">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Respondents emphasized developers are highly vulnerable due to reputational and legal exposure, and because they decide system structure facing regulatory and contractual risks. Poor performance leads to operational impacts like user loss or decreased usage across deployment contexts.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (3)</summary>
<ul class="quote-list">
<li>"Updated vulnerability for deployers, GPAI developers, and specialized developers. Poor performance means their operational performance will be lower, leading to e.g. user loss (or decreased usage)."</li> <li>"AI Developers: highly vulnerable because they decide system structure (input data, model, objectives). They are suffered reputational, regulatory, and contractual risk."</li> <li>"AI Developers have high vulnerability due to reputational and legal exposure."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Several argued developers have lower vulnerability because they have the power to decide how AI is built and are not vulnerable in the same way as end users. Some noted developers have more mitigations available despite legal and commercial risks, and questioned whether vulnerability should include being reproached for failing to meet responsibilities (like legal liability) since this is independent of the harm itself. Developers are exposed to risk but can manage impacts if they have resources.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (3)</summary>
<ul class="quote-list">
<li>"AI Developer: I keep scores lower than those of other experts, because my understanding from comments is that other experts have considered as being vulnerable the fact that the actor is reproached the failure to meet their responsibilities (e.g. legal liability). But since we are judging responsibilities separately I don't deem this to be vulnerability, given that the actor is not impacted by the harm itself and this is completely independent of what harm it is. This seems to be a difference in understanding of "The harm may be direct or indirect." in the Sensitivity definition."</li> <li>"AI developers are risk exposed due to legal and commercial risks, its just that they have more mitigations available than the end users, so their vulnerability is lower. That results in a moderate score for most actors except the user who has much higher vulnerability. In large part this is economic, since the impacts can be managed if you have resources to smooth out spiky performance. a user without many resources may not recover from a spike in poor performance."</li> <li>"AI Developers are the ones with the power to decide how AI is built. AI Deployers decide how it is deployed and used. They are not vulnerable"</li>
</ul>
</details>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIDeployer">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Respondents emphasized deployers are highly vulnerable because various contexts require local adaptation, and regulations like the EU AI Act have pushed responsibility for minimizing unequal performance to the ultimate users of AI systems (financial institutions, hospitals, media). They will bear the brunt of fallout and are vulnerable to regulatory or reputation damage depending on scale of impact. Poor performance means operational performance will be lower, leading to user loss.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (3)</summary>
<ul class="quote-list">
<li>"Updated vulnerability for deployers, GPAI developers, and specialized developers. Poor performance means their operational performance will be lower, leading to e.g. user loss (or decreased usage)."</li> <li>"AI Deployers: highly vulnerable because various contexts require local adaptation."</li> <li>"AI Users and AI deployers are the most vulnerable to unequal performance with AI users being most vulnerable with direct impacts from individual events while AI deployers are largely vulnerable to regulatory or reputation damage depending on the scale of impact."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Some argued deployers have the power to decide how AI is deployed and used, making them not vulnerable in the traditional sense. Others noted that currently most deployers have low sensitivity to unequal performance—these harms have materialized but minimal reputational or operational harm occurs for deployers, though this may change in the future depending on jurisdiction.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (2)</summary>
<ul class="quote-list">
<li>"For the AI deployer category, I put moderately vulnerable. I think currently for the majority of them, they have low sensitivity to unequal performance across groups given that these harms have materialized but we see minimal reputational or operational harm for the deployer. Although I acknowledge this may change in the future and depends on the particular jurisdiction, where in some cases reputational and financial damage is indeed incurred. Also, I am explicitly excluding the AI Developers of specialized systems as they have their own category."</li> <li>"AI Developers are the ones with the power to decide how AI is built. AI Deployers decide how it is deployed and used. They are not vulnerable"</li>
</ul>
</details>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIGovernanceActor">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> One expert commented: "AI Governance Actors: highly vulnerable because differences in standards, and capacity."</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (1)</summary>
<ul class="quote-list">
<li>"AI Governance Actors: highly vulnerable because differences in standards, and capacity."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> One expert commented: "AI Governance Actors and Infrastructure Providers have lower vulnerability as their exposure to this specific risk is more indirect."</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (1)</summary>
<ul class="quote-list">
<li>"AI Governance Actors and Infrastructure Providers have lower vulnerability as their exposure to this specific risk is more indirect."</li>
</ul>
</details>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIUser">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Multiple respondents emphasized users are extremely vulnerable because they directly experience the outcomes and consequences of biased or unequal AI performance. Users face direct impacts from individual events, and regulations like the EU AI Act have pushed responsibility to ultimate users of AI systems who will bear the brunt of fallout. Users are most vulnerable among all actors, particularly those without many resources who may not recover from performance spikes.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (4)</summary>
<ul class="quote-list">
<li>"Affected Stakeholders & AI Users: Extremely vulnerable because they directly experience the outcomes."</li> <li>"AI Users and AI deployers are the most vulnerable to unequal performance with AI users being most vulnerable with direct impacts from individual events while AI deployers are largely vulnerable to regulatory or reputation damage depending on the scale of impact."</li> <li>"AI Users and Affected Stakeholders are most vulnerable as they directly experience the consequences of biased or unequal AI performance."</li> <li>"I strongly believe in my initial ratings. Ultimately AI users and stakeholders will be extremely vulnerable as regulations like EU AI ect have pushed the responsibility of minimizing unequal perfromance across groups to the ultimate user of the AI systems. Example sinclude financial institutions, hospitals, media etc. They will bear the brunt of the fallout."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> [NO EXPERT COMMENTS PROVIDED]</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIDeveloperSpecializedAI">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Respondents noted developers are highly vulnerable because they decide system structure (input data, model, objectives) and face reputational, regulatory, and contractual risks. Poor performance means operational performance will be lower, leading to user loss or decreased usage. Various contexts require adaptation, making developers vulnerable across deployment scenarios.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (2)</summary>
<ul class="quote-list">
<li>"Updated vulnerability for deployers, GPAI developers, and specialized developers. Poor performance means their operational performance will be lower, leading to e.g. user loss (or decreased usage)."</li> <li>"AI Developers: highly vulnerable because they decide system structure (input data, model, objectives). They are suffered reputational, regulatory, and contractual risk."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> One expert commented: "AI developers are risk exposed due to legal and commercial risks, its just that they have more mitigations available than the end users, so their vulnerability is lower. That results in a moderate score for most actors except the user who has much higher vulnerability. In large part this is economic, since the impacts can be managed if you have resources to smooth out spiky performance. a user without many resources may not recover from a spike in poor performance. "</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (1)</summary>
<ul class="quote-list">
<li>"AI developers are risk exposed due to legal and commercial risks, its just that they have more mitigations available than the end users, so their vulnerability is lower. That results in a moderate score for most actors except the user who has much higher vulnerability. In large part this is economic, since the impacts can be managed if you have resources to smooth out spiky performance. a user without many resources may not recover from a spike in poor performance."</li>
</ul>
</details>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIDeployer">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Respondents emphasized deployers are highly vulnerable because various contexts require local adaptation, and regulations like the EU AI Act have pushed responsibility for minimizing unequal performance to the ultimate users of AI systems (financial institutions, hospitals, media). They will bear the brunt of fallout and are vulnerable to regulatory or reputation damage depending on scale of impact. Poor performance means operational performance will be lower, leading to user loss.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (3)</summary>
<ul class="quote-list">
<li>"Updated vulnerability for deployers, GPAI developers, and specialized developers. Poor performance means their operational performance will be lower, leading to e.g. user loss (or decreased usage)."</li> <li>"AI Deployers: highly vulnerable because various contexts require local adaptation."</li> <li>"AI Users and AI deployers are the most vulnerable to unequal performance with AI users being most vulnerable with direct impacts from individual events while AI deployers are largely vulnerable to regulatory or reputation damage depending on the scale of impact."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Some argued deployers have the power to decide how AI is deployed and used, making them not vulnerable in the traditional sense. Others noted that currently most deployers have low sensitivity to unequal performance—these harms have materialized but minimal reputational or operational harm occurs for deployers, though this may change in the future depending on jurisdiction.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (2)</summary>
<ul class="quote-list">
<li>"For the AI deployer category, I put moderately vulnerable. I think currently for the majority of them, they have low sensitivity to unequal performance across groups given that these harms have materialized but we see minimal reputational or operational harm for the deployer. Although I acknowledge this may change in the future and depends on the particular jurisdiction, where in some cases reputational and financial damage is indeed incurred. Also, I am explicitly excluding the AI Developers of specialized systems as they have their own category."</li> <li>"AI Developers are the ones with the power to decide how AI is built. AI Deployers decide how it is deployed and used. They are not vulnerable"</li>
</ul>
</details>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIInfrastructureProvider">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> [NO EXPERT COMMENTS PROVIDED]</p>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Respondents noted lower vulnerability because infrastructure providers have more indirect exposure to this specific risk. Some questioned how the infrastructure layer could be vulnerable to this risk—while employees at these organizations could be impacted, it's unclear if this creates harm to the actual providers rather than to employees in their capacity as affected stakeholders.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (2)</summary>
<ul class="quote-list">
<li>"It's hard to see how the infrastructure layer could be vulnerable to this risk. While there are people at the orgs who build it who could be somewhat impacted, I'm not clear if that would create harm to the actual providers, rather than the employees there in their capacity as an affected stakeholder"</li> <li>"AI Governance Actors and Infrastructure Providers have lower vulnerability as their exposure to this specific risk is more indirect."</li>
</ul>
</details>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIUser">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Multiple respondents emphasized users are extremely vulnerable because they directly experience the outcomes and consequences of biased or unequal AI performance. Users face direct impacts from individual events, and regulations like the EU AI Act have pushed responsibility to ultimate users of AI systems who will bear the brunt of fallout. Users are most vulnerable among all actors, particularly those without many resources who may not recover from performance spikes.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (4)</summary>
<ul class="quote-list">
<li>"Affected Stakeholders & AI Users: Extremely vulnerable because they directly experience the outcomes."</li> <li>"AI Users and AI deployers are the most vulnerable to unequal performance with AI users being most vulnerable with direct impacts from individual events while AI deployers are largely vulnerable to regulatory or reputation damage depending on the scale of impact."</li> <li>"AI Users and Affected Stakeholders are most vulnerable as they directly experience the consequences of biased or unequal AI performance."</li> <li>"I strongly believe in my initial ratings. Ultimately AI users and stakeholders will be extremely vulnerable as regulations like EU AI ect have pushed the responsibility of minimizing unequal perfromance across groups to the ultimate user of the AI systems. Example sinclude financial institutions, hospitals, media etc. They will bear the brunt of the fallout."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> [NO EXPERT COMMENTS PROVIDED]</p>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AffectedStakeholder">
<div class="content-grid">
<div class="content-column">
<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> Comments emphasized that affected stakeholders are vulnerable because they directly experience biased AI outcomes and, under regulations like EU AI Act, bear ultimate responsibility for minimizing unequal performance across groups, facing the brunt of legal and operational fallout.</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (3)</summary>
<ul class="quote-list">
<li>"Affected Stakeholders & AI Users: Extremely vulnerable because they directly experience the outcomes."</li> <li>"AI Users and Affected Stakeholders are most vulnerable as they directly experience the consequences of biased or unequal AI performance."</li> <li>"I strongly believe in my initial ratings. Ultimately AI users and stakeholders will be extremely vulnerable as regulations like EU AI ect have pushed the responsibility of minimizing unequal perfromance across groups to the ultimate user of the AI systems. Example sinclude financial institutions, hospitals, media etc. They will bear the brunt of the fallout."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> [NO EXPERT COMMENTS PROVIDED]</p>
</div>
</div>
</div>
</div>
<div class="entity-section" id="AIGovernanceActor">
<div class="content-grid">
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<h3 class="criteria-header higher">Reasons for Higher Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> One expert commented: "AI Governance Actors: highly vulnerable because differences in standards, and capacity."</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (1)</summary>
<ul class="quote-list">
<li>"AI Governance Actors: highly vulnerable because differences in standards, and capacity."</li>
</ul>
</details>
</div>
</div>
<div class="content-column">
<h3 class="criteria-header lower">Reasons for Lower Vulnerability</h3>
<div class="summary-section">
<p class="summary-text"><strong>AI-generated summary:</strong> One expert commented: "AI Governance Actors and Infrastructure Providers have lower vulnerability as their exposure to this specific risk is more indirect."</p>
<details class="quote-details">
<summary class="quote-toggle">See all expert comments (1)</summary>
<ul class="quote-list">
<li>"AI Governance Actors and Infrastructure Providers have lower vulnerability as their exposure to this specific risk is more indirect."</li>
</ul>
</details>
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