{"id":730,"date":"2026-06-09T07:49:42","date_gmt":"2026-06-09T05:49:42","guid":{"rendered":"https:\/\/aiolia.eu\/?page_id=730"},"modified":"2026-07-04T07:13:37","modified_gmt":"2026-07-04T05:13:37","slug":"organisational-measures-for-operationalising-ai-ethics-principles","status":"publish","type":"page","link":"https:\/\/aiolia.eu\/index.php\/organisational-measures-for-operationalising-ai-ethics-principles\/","title":{"rendered":"Organisational measures for operationalising AI ethics principles"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">While AI ethics principles have become the bedrock of Trustworthy AI, organisations face significant challenges in applying and putting these theoretical ethical principles into practice. Addressing this issue, AIOLIA\u2019s industrial partners engaged in the operationalisation of ethics principles, that is, in translating high level ethical principles into practical actions, tools, processes and governance structures that can guide and be applied throughout the lifecycle of AI systems. This process has resulted in a wealth of different approaches and measures that have been systematised in the development of context-enriched organisational guidelines for different types of AI systems and AI research areas, namely General-Purpose AI, Emotional AI and Decision Support Systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AIOLIA\u2019s organisational guidelines provide a set of actionable and non-technical measures that can be implemented by organisations with the aim of 1) promoting responsible AI practices, 2) building trust in AI uptake, and 3) aligning organisational practices with legal requirements and standards, such as the EU AI Act, the GDPR and ISO\/IEC42001. Organisational measures focus on how an organisation can incorporate and manage ethical AI practices through structures, policies and governance frameworks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The intended audiences of these guidelines are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Organisations that deploy AI systems;<\/li>\n\n\n\n<li>Organisations that provide AI models or systems;<\/li>\n\n\n\n<li>Policymakers working in the field of Artificial Intelligence.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These guidelines are informed by the operationalisation of AI ethics principles across six European use cases, operating across areas as diverse as healthcare, automotive engineering, detection of harmful and illegal content, and personal companions. Given the different areas of deployment covered, the operationalisation process undertaken in the different industrial use cases has been informed by sectoral regulatory frameworks and standards, such as ISO automotive industry standards or the Medical Device Regulation, in addition to the AI Act, resulting in a rich guidance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Below is the list of organisational measures identified for the three different AIOLIA research areas. To understand the measures in full, attending to the relevance, procedures and implementation challenges faced by organisations operating in the different research areas, consult our report <a href=\"https:\/\/aiolia.eu\/wp-content\/uploads\/2026\/06\/AIOLIA-D3.3-final.pdf\" data-type=\"attachment\" data-id=\"714\">here<\/a>.<\/p>\n\n\n\n<style>\n  .aiolia-table-wrap {\n    width: 100%;\n    overflow-x: auto;\n    margin: 2rem 0;\n  }\n\n  table.aiolia-measures {\n    width: 100%;\n    border-collapse: collapse;\n    font-family: inherit;\n    font-size: 0.95rem;\n    line-height: 1.45;\n    color: #172033;\n    background: #ffffff;\n    border: 1px solid #d9e2ef;\n    border-radius: 14px;\n    overflow: hidden;\n  }\n\n  .aiolia-measures caption {\n    caption-side: top;\n    text-align: left;\n    font-weight: 700;\n    font-size: 1.2rem;\n    margin-bottom: 0.75rem;\n    color: #12355b;\n  }\n\n  .aiolia-measures th,\n  .aiolia-measures td {\n    padding: 0.75rem 0.85rem;\n    border: 1px solid #d9e2ef;\n    vertical-align: top;\n  }\n\n  .aiolia-measures thead th {\n    background: #12355b;\n    color: #ffffff;\n    text-align: left;\n    font-weight: 700;\n  }\n\n  .aiolia-measures thead th.area-gpai {\n    background: #1f6fd6;\n    text-align: center;\n  }\n\n  .aiolia-measures thead th.area-emotional {\n    background: #c84f7a;\n    text-align: center;\n  }\n\n  .aiolia-measures thead th.area-dss {\n    background: #128c86;\n    text-align: center;\n  }\n\n  .aiolia-measures tbody tr:nth-child(even):not(.section-row) {\n    background: #f8fbff;\n  }\n\n  .aiolia-measures tbody tr:hover:not(.section-row) {\n    background: #eef6ff;\n  }\n\n  .aiolia-measures .measure-code {\n    width: 5.5rem;\n    white-space: nowrap;\n    font-weight: 700;\n    color: #12355b;\n  }\n\n  .aiolia-measures .description {\n    min-width: 34rem;\n  }\n\n  .aiolia-measures .area-cell {\n    width: 5.5rem;\n    text-align: center;\n    vertical-align: middle;\n    font-weight: 700;\n  }\n\n  .aiolia-measures .section-row th {\n    background: #eaf1fb;\n    color: #12355b;\n    text-transform: uppercase;\n    letter-spacing: 0.04em;\n    font-size: 0.82rem;\n    padding: 0.65rem 0.85rem;\n    border-top: 2px solid #12355b;\n  }\n\n  .aiolia-measures .mark {\n    display: inline-flex;\n    align-items: center;\n    justify-content: center;\n    min-width: 1.8rem;\n    height: 1.8rem;\n    border-radius: 999px;\n    color: #ffffff;\n    font-weight: 800;\n    font-size: 0.9rem;\n  }\n\n  .aiolia-measures .mark-gpai {\n    background: #1f6fd6;\n  }\n\n  .aiolia-measures .mark-emotional {\n    background: #c84f7a;\n  }\n\n  .aiolia-measures .mark-dss {\n    background: #128c86;\n  }\n\n  .aiolia-measures .empty {\n    color: transparent;\n  }\n\n  @media (max-width: 780px) {\n    table.aiolia-measures {\n      font-size: 0.9rem;\n    }\n\n    .aiolia-measures th,\n    .aiolia-measures td {\n      padding: 0.65rem;\n    }\n\n    .aiolia-measures .description {\n      min-width: 26rem;\n    }\n  }\n<\/style>\n\n<div class=\"aiolia-table-wrap\">\n  <table class=\"aiolia-measures\">\n    <caption>Organisational measures for operationalising AI ethics principles<\/caption>\n\n    <thead>\n      <tr>\n        <th scope=\"col\">Measure<\/th>\n        <th scope=\"col\">Description<\/th>\n        <th scope=\"col\" class=\"area-gpai\">GPAI<\/th>\n        <th scope=\"col\" class=\"area-emotional\">Emotional AI<\/th>\n        <th scope=\"col\" class=\"area-dss\">DSS<\/th>\n      <\/tr>\n    <\/thead>\n\n    <tbody>\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Context<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 01<\/td>\n        <td class=\"description\">Define clear boundaries and guidance for intended use of the AI system, including when AI outputs should be questioned, verified, or supplemented with human input.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 02<\/td>\n        <td class=\"description\">Define clear rules on the type of content, behaviour, or expression that are restricted for AI use and why, including distinguishing legitimate behavioural influence from manipulative practices.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 03<\/td>\n        <td class=\"description\">Define what constitutes vulnerability in users or patients, including static and emergent forms, set out identification protocols, and establish corresponding enhanced safety measures, interaction protocols and continuous monitoring of effects for identified vulnerability profiles.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 04<\/td>\n        <td class=\"description\">Define multi-level safety criteria and categories of risks and harms.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 05<\/td>\n        <td class=\"description\">Consider diversity criteria and their intersection across roles, locations, languages, or cultural characteristics.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Leadership<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 06<\/td>\n        <td class=\"description\">Promote a safety-first culture within the organisation.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 07<\/td>\n        <td class=\"description\">Establish a representative AI governance committee as a formal oversight structure within the organisation.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Planning<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 08<\/td>\n        <td class=\"description\">Explicitly define and document responsibility for AI outputs.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 09<\/td>\n        <td class=\"description\">Clearly define oversight responsibilities and embed them into workflows, including checkpoints when active human professional engagement is required.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 10<\/td>\n        <td class=\"description\">Establish a clear escalation path for the organisation hierarchy to decide on responsibility assignments during AI system design or operation.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 11<\/td>\n        <td class=\"description\">Define a clear policy on high-risk or sensitive decisions that must involve human judgment.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 12<\/td>\n        <td class=\"description\">Conduct a privacy impact assessment.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 13<\/td>\n        <td class=\"description\">Involve mental health professionals in the design, monitoring and evaluation of the AI system.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 14<\/td>\n        <td class=\"description\">Determine the permitted degree of autonomy of the AI system, if any, and accordingly specify the conditions in which a professional in the loop is required, for example via human moderation.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 15<\/td>\n        <td class=\"description\">Consider psychological, emotional, and behavioural influences in AI risk analysis, not only user or patient information or technical AI performance.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Support<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 16<\/td>\n        <td class=\"description\">Conduct trainings to support users in understanding AI capabilities and limitations, as well as related human capabilities and limitations.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 17<\/td>\n        <td class=\"description\">Clearly communicate how the AI system may affect human individuals, next of kin and society at large.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Operation<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 18<\/td>\n        <td class=\"description\">Put in place a mechanism for users to report, question, or contest AI behaviour, decisions and\/or restrictions.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 19<\/td>\n        <td class=\"description\">Design explanations that enable users to understand key behavioural factors, limitations, and uncertainties in their interaction with the AI system.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 20<\/td>\n        <td class=\"description\">Document and enable traceability of changes to models, data or the GPAI system with sufficient detail to support internal reviews, external audits, or regulatory scrutiny.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 21<\/td>\n        <td class=\"description\">Implement additional safeguards for sensitive data.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 22<\/td>\n        <td class=\"description\">Ensure the AI system, if autonomous, applies behavioural nudging only in documented and auditable contexts with specified trigger thresholds and objectives.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 23<\/td>\n        <td class=\"description\">Conduct internal ethics reviews for new features or changes of the AI system.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 24<\/td>\n        <td class=\"description\">Design explanations that support meaningful review, contestation or justification of AI-supported decision.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Evaluation<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 25<\/td>\n        <td class=\"description\">Periodically reassess reliance patterns as systems evolve or scale.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 26<\/td>\n        <td class=\"description\">Monitor situations when the purpose or actual use of the AI system drifts or diverges from the intended ones, and inform users when relevant.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 27<\/td>\n        <td class=\"description\">Put in place auditable Standard Operating Procedures for AI design and validation.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 28<\/td>\n        <td class=\"description\">Conduct periodic independent ethics reviews of the AI system\u2019s impact on wellbeing and autonomy addressing all stages of the AI lifecycle.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 29<\/td>\n        <td class=\"description\">Conduct audits of informed consent mechanisms and document limitations, especially with regard to adaptivity to context.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 30<\/td>\n        <td class=\"description\">Review AI outputs for unintended disparity impact.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr class=\"section-row\">\n        <th colspan=\"5\" scope=\"colgroup\">Improvement<\/th>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 31<\/td>\n        <td class=\"description\">Translate audit findings into corrective design action.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 32<\/td>\n        <td class=\"description\">Identify and analyse unforeseen effects of the AI system on individual and societal well-being.<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-gpai\">X<\/span><\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-dss\">X<\/span><\/td>\n      <\/tr>\n\n      <tr>\n        <td class=\"measure-code\">OM 33<\/td>\n        <td class=\"description\">Assess and collect feedback from users of conversational systems regarding perceived honesty, non-coerciveness of AI interactions and impact on wellbeing.<\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n        <td class=\"area-cell\"><span class=\"mark mark-emotional\">X<\/span><\/td>\n        <td class=\"area-cell empty\">\u2014<\/td>\n      <\/tr>\n    <\/tbody>\n  <\/table>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Source:\u00a0<a href=\"https:\/\/aiolia.eu\/wp-content\/uploads\/2026\/07\/AIOLIA-D3.3-final.pdf\" data-type=\"attachment\" data-id=\"791\">AIOLIA deliverable 3.3<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>While AI ethics principles have become the bedrock of Trustworthy AI, organisations face significant challenges in applying and putting these theoretical ethical principles into practice. Addressing this issue, AIOLIA\u2019s industrial partners engaged in the operationalisation of ethics principles, that is, in translating high level ethical principles into practical actions, tools, processes and governance structures that&hellip;&nbsp;<a href=\"https:\/\/aiolia.eu\/index.php\/organisational-measures-for-operationalising-ai-ethics-principles\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Organisational measures for operationalising AI ethics principles<\/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-730","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/730","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=730"}],"version-history":[{"count":7,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/730\/revisions"}],"predecessor-version":[{"id":813,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/730\/revisions\/813"}],"wp:attachment":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/media?parent=730"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}