{"id":1007,"date":"2026-11-07T16:11:49","date_gmt":"2026-11-07T15:11:49","guid":{"rendered":"https:\/\/aiolia.eu\/?page_id=1007"},"modified":"2026-11-07T16:11:49","modified_gmt":"2026-11-07T15:11:49","slug":"ethics-readiness-levels","status":"publish","type":"page","link":"https:\/\/aiolia.eu\/index.php\/ethics-readiness-levels\/","title":{"rendered":"Ethics Readiness Levels"},"content":{"rendered":"\n<figure class=\"wp-block-video\"><video height=\"720\" style=\"aspect-ratio: 720 \/ 720;\" width=\"720\" autoplay controls loop muted src=\"https:\/\/aiolia.eu\/wp-content\/uploads\/2026\/11\/ERL-video.mp4\" playsinline><\/video><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Existing AI ethics frameworks produce principles rather than instruments. They describe what responsible AI should look like without providing development teams with a procedure for measuring whether their system is getting there. We developed the Ethics Readiness Levels (ERL), an evaluation methodology that adapts the Technology Readiness Level paradigm to the domain of AI ethics. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">ERL defines a maturity scale (ERL 0\u20134) derived from Integration Readiness Levels, implements it through an indicator questionnaire with<br>tree-structured navigation, and tracks progress across development milestones. The methodology operationalizes thick ethical concepts into indicators. It uses a risk-mitigation-validation scoring mechanism that rewards validated mitigation. It promotes dialogue between an ethics expert and a technical expert to encourage ethical reflection and correct for self-evaluation bias.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The framework is designed to function as a management tool for ethics maturity. It directs ethical reflection to make sure that important issues are identified and analyzed, rather than ignored or forgotten. It helps to set up a process of ethics-by-design during the entire project implementation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Read more in AIOLIA <a href=\"https:\/\/aiolia.eu\/wp-content\/uploads\/2026\/07\/AIOLIA-D3.4-final.pdf\">Deliverable D3.4<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Source: L. Adomaitis, V. Israel-Jost and A. Grinbaum, &#8220;Ethics Readiness Levels for AI Systems: A Practical Evaluation Framework,&#8221; <em>2026 IEEE Zooming Innovation in Consumer Technologies International Conference (ZINC)<\/em>, Novi Sad, Serbia, 2026, pp. 1-6, doi: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/11655821\" target=\"_blank\" rel=\"noopener\">10.1109\/ZINC69910.2026.11655821<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Existing AI ethics frameworks produce principles rather than instruments. They describe what responsible AI should look like without providing development teams with a procedure for measuring whether their system is getting there. We developed the Ethics Readiness Levels (ERL), an evaluation methodology that adapts the Technology Readiness Level paradigm to the domain of AI ethics.&hellip;&nbsp;<a href=\"https:\/\/aiolia.eu\/index.php\/ethics-readiness-levels\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Ethics Readiness Levels<\/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":"","_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"footnotes":""},"class_list":["post-1007","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/1007","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=1007"}],"version-history":[{"count":12,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/1007\/revisions"}],"predecessor-version":[{"id":1020,"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/pages\/1007\/revisions\/1020"}],"wp:attachment":[{"href":"https:\/\/aiolia.eu\/index.php\/wp-json\/wp\/v2\/media?parent=1007"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}