Domain hidx.ch
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Infomaniak Network SA
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Apache Apache

tcp/443 tcp/80

  • Open service 2001:1600:4:b:ba2a:72ff:fed9:fe16:443 · hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:45 GMT
server: Apache
strict-transport-security: max-age=16000000
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 2001:1600:4:b:ba2a:72ff:fed9:fe16:80 · hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:44 GMT
server: Apache
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 2001:1600:4:b:ba2a:72ff:fed9:fe16:80 · www.hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:44 GMT
server: Apache
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 2001:1600:4:b:ba2a:72ff:fed9:fe16:443 · www.hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:45 GMT
server: Apache
strict-transport-security: max-age=16000000
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 128.65.195.22:443 · www.hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:45 GMT
server: Apache
strict-transport-security: max-age=16000000
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 128.65.195.22:80 · www.hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:44 GMT
server: Apache
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 128.65.195.22:80 · hidx.ch

    2026-01-24 21:42 

    HTTP/1.1 200 OK
date: Sat, 24 Jan 2026 21:42:44 GMT
server: Apache
upgrade: h2
connection: Upgrade
last-modified: Thu, 07 Mar 2024 21:42:43 GMT
etag: "2a53-61318f48e832e"
accept-ranges: bytes
content-length: 10835
vary: Accept-Encoding
content-type: text/html

Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report

  • Open service 128.65.195.22:443 · hidx.ch

    2026-01-24 21:42 

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Page title: Human Input Index (HIDX)

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Human Input Index (HIDX)</title>
    <!-- Bootstrap CSS -->
    <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body>

<div class="container mt-5">
    <div class="row">
        <div class="col-lg-12">
             <!-- Logo Section -->
    <div class="text-center mb-4">
        <img src="logo.png" alt="HIDX Logo" style="max-width: 200px;" class="mb-4">
        <p class="mb-5">Assessing Human Influence on AI-Generated Content</p>
    </div>

<section id="overview">
    <h2>Overview</h2>
    <p>In the dynamic domain of artificial intelligence (AI), particularly in generative models like GPT, the quality of the output heavily relies on the nature and quality of human input. Recognizing this intricate relationship, the Human Input inDeX (HIDX) has been developed as a simple metric to quantify and enhance the interplay between human contributions and AI capabilities. The HIDX evaluates essential aspects of human input—self-assessed knowledge level, the number of iterations in interaction, and the detail embedded in each request—providing a comprehensive view of their collective impact on the precision and relevance of AI-generated content.</p>
<p>The HIDX provides a structured method to quantify the extent of human influence in the AI content generation process. Rather than refining AI outputs or tailoring AI systems, the HIDX serves as an indicator of how much the generated content has been shaped by human interaction versus autonomously produced by the AI. This exploration of the HIDX underlines its importance in giving insights into the nature of human-AI collaboration, encouraging a nuanced appreciation of how human inputs contribute to the content produced by generative AI models. It offers a framework for understanding the balance between human creativity and AI's computational power in the creation process.</p>
</section>


            <section id="what-is-HIDX">
                <h2>What is the Human Input Index?</h2>
                <p>The Human Input inDeX (HIDX) is a comprehensive metric designed to measure the extent of human contribution in the generative AI process. It is defined based on three  criteria:</p>
                <ul>
                    <li><strong>Human Knowledge Level:</strong> This criterion is based on the user's self-evaluation of their knowledge before interacting with the AI model. It reflects the user's own assessment of their understanding and expertise in the domain of the request.</li>
                    <li><strong>Number of Iterations:</strong> This measures the number of attempts or interactions required to achieve the desired output, offering insights into the refinement process.</li>
                    <li><strong>Length of Requests:</strong> The specificity and detail of the user's input are quantified through the word count of each request, reflecting the clarity and precision of human instructions.</li>
                </ul>
            </section>

          <section id="importance">
    <h2>Importance of HIDX</h2>
    <p>The Human Input inDeX (HIDX) provides interesting insights into the effectiveness and precision of outputs generated by the GPT model, emphasizing the impact of human interaction on these outcomes:</p>
    <ul>
        <li><strong>Reflecting Output Authenticity Quality:</strong> The HIDX underscores the correlation between the depth of user knowledge and the quality of the AI-generated content. A higher knowledge level tends to result in more precise and accurate outputs, as informed inputs guide the AI more effectively.</li>
        <li><strong>Optimizing Through Iteration:</strong> The number of iterations is a key factor in achieving optimal results. More iterations allow for refined user requests, leading to more accurate and tailored AI responses, as indicated by a higher HIDX.</li>
        <li><strong>Detailing Input for Better Outputs:<
    Found 2026-01-24 by HttpPlugin
    Create report
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