{"id":904,"date":"2026-11-01T17:21:01","date_gmt":"2026-11-01T16:21:01","guid":{"rendered":"https:\/\/aiolia.eu\/?page_id=904"},"modified":"2026-11-01T18:12:39","modified_gmt":"2026-11-01T17:12:39","slug":"ai-ethics-issues-identification-checklist","status":"publish","type":"page","link":"https:\/\/aiolia.eu\/index.php\/ai-ethics-issues-identification-checklist\/","title":{"rendered":"AI ethics issues identification checklist"},"content":{"rendered":"\n<style>\n#aiolia-checklist {\n  --ac-red: var(--nv-primary-accent, #ff001e);\n  --ac-text: var(--nv-text-color, #393939);\n  --ac-soft: var(--nv-light-bg, #f4f4f4);\n  color: var(--ac-text);\n  font-family: inherit;\n  font-size: inherit;\n  line-height: 1.75;\n  max-width: 1080px;\n  margin: 0 auto 3rem;\n}\n#aiolia-checklist,\n#aiolia-checklist * {\n  box-sizing: border-box;\n}\n#aiolia-checklist p {\n  margin: 0 0 1.25rem;\n}\n#aiolia-checklist .ac-intro {\n  max-width: 80ch;\n  margin-bottom: 1.75rem;\n}\n#aiolia-checklist .ac-index {\n  margin: 0 0 2.75rem;\n  padding: 1.5rem 1.75rem;\n  background: var(--ac-soft);\n  border-left: 4px solid var(--ac-red);\n}\n#aiolia-checklist .ac-index-title {\n  margin: 0 0 .8rem;\n  font-size: .85em;\n  font-weight: 600;\n  letter-spacing: .05em;\n  text-transform: uppercase;\n}\n#aiolia-checklist .ac-index ol {\n  display: grid;\n  grid-template-columns: repeat(2, minmax(0, 1fr));\n  gap: .4rem 2rem;\n  list-style: none;\n  margin: 0;\n  padding: 0;\n}\n#aiolia-checklist .ac-index li {\n  margin: 0;\n  padding: 0;\n}\n#aiolia-checklist .ac-index a {\n  display: flex;\n  align-items: baseline;\n  gap: .7rem;\n  padding: .35rem 0;\n  color: var(--ac-text);\n  font-size: .9em;\n  line-height: 1.5;\n  text-decoration: underline;\n  text-decoration-color: #b8b8b8;\n  text-underline-offset: .2em;\n}\n#aiolia-checklist .ac-index a span {\n  min-width: 1.1em;\n  font-weight: 600;\n}\n#aiolia-checklist a:hover {\n  color: #a50015;\n  text-decoration-color: currentColor;\n}\n#aiolia-checklist a:focus-visible {\n  outline: 2px solid #a50015;\n  outline-offset: 5px;\n}\n#aiolia-checklist .ac-section {\n  margin: 0 0 2.4rem;\n  padding: 0 0 2.1rem;\n  border-bottom: 1px solid #dedede;\n  scroll-margin-top: 2rem;\n}\n#aiolia-checklist .ac-section h2 {\n  display: flex;\n  align-items: flex-start;\n  gap: 1rem;\n  margin: 0 0 1.25rem;\n  color: var(--ac-text);\n  font-family: var(--headingsfontfamily, \"Montserrat\"),\n               Arial, Helvetica, sans-serif;\n  font-size: clamp(1.25rem, 1.8vw, 1.65rem);\n  font-weight: 600;\n  line-height: 1.4;\n  letter-spacing: 0;\n  text-transform: none;\n}\n#aiolia-checklist .ac-number {\n  display: inline-flex;\n  flex: 0 0 2.5rem;\n  align-items: center;\n  justify-content: center;\n  min-height: 2.5rem;\n  background: var(--ac-red);\n  color: #fff;\n  font-size: 1.5rem;\n  font-weight: 600;\n  line-height: 1;\n}\n#aiolia-checklist .ac-questions {\n  list-style: lower-alpha outside;\n  margin: 0 0 0 3.5rem;\n  padding: 0 0 0 1.5rem;\n}\n#aiolia-checklist .ac-questions li {\n  margin: 0 0 .85rem;\n  padding-left: .35rem;\n}\n#aiolia-checklist .ac-questions li:last-child {\n  margin-bottom: 0;\n}\n#aiolia-checklist .ac-questions li::marker {\n  font-weight: 600;\n}\n#aiolia-checklist .ac-back {\n  font-size: .9em;\n}\n#aiolia-checklist .ac-back a {\n  color: var(--ac-text);\n  text-underline-offset: .2em;\n}\n@media (max-width: 650px) {\n  #aiolia-checklist .ac-index {\n    padding: 1.15rem;\n    margin-bottom: 2rem;\n  }\n  #aiolia-checklist .ac-index ol {\n    grid-template-columns: 1fr;\n    gap: .2rem;\n  }\n  #aiolia-checklist .ac-section h2 {\n    gap: .75rem;\n  }\n  #aiolia-checklist .ac-questions {\n    margin-left: 0;\n    padding-left: 1.65rem;\n  }\n  #aiolia-checklist .ac-section {\n    margin-bottom: 1.75rem;\n    padding-bottom: 1.5rem;\n  }\n}\n@media print {\n  #aiolia-checklist {\n    max-width: none;\n    margin: 0;\n    color: #000;\n    font-size: 11pt;\n  }\n  #aiolia-checklist .ac-index,\n  #aiolia-checklist .ac-back {\n    display: none;\n  }\n  #aiolia-checklist .ac-section {\n    margin-bottom: 1rem;\n    padding-bottom: 1rem;\n  }\n  #aiolia-checklist .ac-section h2 {\n    break-after: avoid;\n    font-size: 14pt;\n  }\n  #aiolia-checklist .ac-number {\n    background: none;\n    color: #000;\n    border: 1px solid #999;\n  }\n  #aiolia-checklist .ac-questions li {\n    break-inside: avoid;\n  }\n}\n<\/style>\n\n<div id=\"aiolia-checklist\" lang=\"en\">\n\n  <p class=\"ac-intro\">\n    Use this checklist to identify and discuss potential ethical issues\n    in projects that develop or use AI systems. Start by establishing\n    the context, then work through the seven areas below.\n  <\/p>\n\n  <nav class=\"ac-index\" aria-label=\"Checklist sections\">\n    <p class=\"ac-index-title\">In this checklist<\/p>\n    <ol start=\"0\">\n      <li>\n        <a href=\"#ac-context\">\n          <span>0.<\/span> Establishing context\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-oversight\">\n          <span>1.<\/span> Human agency and oversight\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-safety\">\n          <span>2.<\/span> Technical robustness and safety\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-data\">\n          <span>3.<\/span> Data privacy and governance\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-transparency\">\n          <span>4.<\/span> Transparency and explainability\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-fairness\">\n          <span>5.<\/span> Diversity, non-discrimination &amp; fairness\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-wellbeing\">\n          <span>6.<\/span> Societal &amp; environmental wellbeing\n        <\/a>\n      <\/li>\n      <li>\n        <a href=\"#ac-accountability\">\n          <span>7.<\/span> Accountability\n        <\/a>\n      <\/li>\n    <\/ol>\n  <\/nav>\n\n  <section id=\"ac-context\" class=\"ac-section\"\n           aria-labelledby=\"ac-context-title\">\n    <h2 id=\"ac-context-title\">\n      <span class=\"ac-number\">0<\/span>\n      <span>Establishing context: AI system role and function in the project<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Does the project develop a new AI system, use an existing one,\n        or both? If an existing system is used, is it internal,\n        open-source, or provided by a third party?\n      <\/li>\n      <li>\n        If a third-party AI system is used, is it a research prototype\n        or a commercial solution? Is any relevant certification or\n        regulatory approval documented?\n      <\/li>\n      <li>\n        Is the role of the AI system in the project clearly defined\n        (e.g., decision support, automation, prediction, monitoring)?\n      <\/li>\n      <li>\n        If the project develops an AI system, what is the expected\n        Technology Readiness Level at the end of the project\n        (e.g., research prototype, industrial pilot, or commercial product)?\n      <\/li>\n      <li>\n        Who are the intended users or operators of the AI system\n        (e.g., professionals, technical staff, non-expert users)?\n      <\/li>\n      <li>\n        Who are the individuals or groups affected by the AI system,\n        including potentially vulnerable populations?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-oversight\" class=\"ac-section\"\n           aria-labelledby=\"ac-oversight-title\">\n    <h2 id=\"ac-oversight-title\">\n      <span class=\"ac-number\">1<\/span>\n      <span>Human agency and oversight<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Does the AI system operate under human supervision? Are the\n        level and type of supervision clearly defined\n        (e.g., occasional or continuous)?\n      <\/li>\n      <li>\n        Can human supervisors intervene in or override the system\u2019s outputs?\n      <\/li>\n      <li>\n        Does the system inform users about uncertain or unexpected outputs?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-safety\" class=\"ac-section\"\n           aria-labelledby=\"ac-safety-title\">\n    <h2 id=\"ac-safety-title\">\n      <span class=\"ac-number\">2<\/span>\n      <span>Technical robustness and safety<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Are there cybersecurity safeguards against adversarial attacks?\n      <\/li>\n      <li>\n        Could the AI system be misused, and are potential misuse\n        scenarios identified and mitigated?\n      <\/li>\n      <li>\n        Are false positives and false negatives monitored and addressed?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-data\" class=\"ac-section\"\n           aria-labelledby=\"ac-data-title\">\n    <h2 id=\"ac-data-title\">\n      <span class=\"ac-number\">3<\/span>\n      <span>Data privacy and governance<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Are the datasets used for training or fine-tuning described,\n        including whether they are public, proprietary, or newly created?\n        Is there synthetic data?\n      <\/li>\n      <li>\n        Is personal or sensitive data handled in compliance with GDPR,\n        with appropriate anonymization\/pseudonymization, consent,\n        and options for retraction or deletion?\n      <\/li>\n      <li>\n        Is dataset quality assessed? Is the dataset open and publicly available?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-transparency\" class=\"ac-section\"\n           aria-labelledby=\"ac-transparency-title\">\n    <h2 id=\"ac-transparency-title\">\n      <span class=\"ac-number\">4<\/span>\n      <span>Transparency and explainability<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        For supervised learning, is the selection and qualification\n        of annotators clearly documented?\n      <\/li>\n      <li>\n        For unsupervised or self-supervised learning, are procedures\n        in place to explain the AI system\u2019s outputs, including\n        low-confidence or unexpected results?\n      <\/li>\n      <li>\n        Are verification and validation methods described to ensure\n        outputs can be reproduced and trusted?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-fairness\" class=\"ac-section\"\n           aria-labelledby=\"ac-fairness-title\">\n    <h2 id=\"ac-fairness-title\">\n      <span class=\"ac-number\">5<\/span>\n      <span>Diversity, non-discrimination &amp; fairness<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Does the dataset represent all relevant groups fairly\n        (e.g., gender, ethnicity, geography, or other context-specific categories)?\n      <\/li>\n      <li>\n        Is the use of the AI system likely to result in discrimination\n        against certain categories of persons?\n      <\/li>\n      <li>\n        If generative AI is used, are safeguards applied to avoid hallucinations?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-wellbeing\" class=\"ac-section\"\n           aria-labelledby=\"ac-wellbeing-title\">\n    <h2 id=\"ac-wellbeing-title\">\n      <span class=\"ac-number\">6<\/span>\n      <span>Societal &amp; environmental wellbeing<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Does the use of the AI system require new skills or competencies,\n        and are appropriate training or support measures provided?\n      <\/li>\n      <li>\n        Are measures in place to prevent users from becoming overly\n        reliant on the AI system\u2019s outputs? Are safeguards in place\n        to prevent loss of human expertise?\n      <\/li>\n      <li>\n        Could the AI system\u2019s outputs or use create risks to human\n        safety, society, or the environment?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <section id=\"ac-accountability\" class=\"ac-section\"\n           aria-labelledby=\"ac-accountability-title\">\n    <h2 id=\"ac-accountability-title\">\n      <span class=\"ac-number\">7<\/span>\n      <span>Accountability<\/span>\n    <\/h2>\n    <ol class=\"ac-questions\" type=\"a\">\n      <li>\n        Is there a procedure to assign responsibility in the event\n        that the AI system causes damage?\n      <\/li>\n      <li>\n        Are there mechanisms to facilitate auditability and traceability\n        of the AI system\u2019s outputs?\n      <\/li>\n      <li>\n        Does the project include AI ethics experts or an Ethics Advisory\n        Board with a mandate to oversee the development of the AI system?\n      <\/li>\n    <\/ol>\n  <\/section>\n\n  <p class=\"ac-back\">\n    <a href=\"#aiolia-checklist\">Back to the top<\/a>\n  <\/p>\n\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Source<\/strong>: A. Pr\u00e9gent and A. Grinbaum, <em>Developing Competency in AI Ethics: A training framework<\/em>. <a href=\"https:\/\/arxiv.org\/abs\/2610.13319\" target=\"_blank\" rel=\"noopener\">arxiv:2610.13319<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Use this checklist to identify and discuss potential ethical issues in projects that develop or use AI systems. Start by establishing the context, then work through the seven areas below. In this checklist 0. Establishing context 1. Human agency and oversight 2. Technical robustness and safety 3. Data privacy and governance 4. Transparency and explainability&hellip;&nbsp;<a href=\"https:\/\/aiolia.eu\/index.php\/ai-ethics-issues-identification-checklist\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">AI ethics issues identification checklist<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-904","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/904","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/comments?post=904"}],"version-history":[{"count":5,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/904\/revisions"}],"predecessor-version":[{"id":954,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/904\/revisions\/954"}],"wp:attachment":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/media?parent=904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}