{"@context":"https://w3id.org/openbadges/v2","badge":{"criteria":{"narrative":"<p>Participants must demonstrate the ability to<br />\r\n&bull; recognise bias reproduced by AI systems<br />\r\n&bull; identify potential exclusion or marginalisation risks<br />\r\n&bull; explain how user inputs influence AI behaviour<br />\r\n&bull; evaluate the appropriateness and reliability of AI generated material<br />\r\n&bull; apply a mitigation strategy to improve fairness<br />\r\n&bull; make a context informed professional judgement aligned with equity goals<br />\r\naccording to the UNESCO AI Competency Framework for Teachers at the ACQUIRE level.</p>\r\n"},"description":"<p>The Bias Aware Educator microcredential introduces educators to the foundational skills required for recognising and responding to bias when using generative AI in teaching. It aligns with the ACQUIRE level of the UNESCO AI Competency Framework for Teachers and focuses on helping participants build confident, ethical, and learner-centred AI practice.</p>\r\n\r\n<p>This credential requires participants to apply bias awareness to an example from their own context and to demonstrate clear professional judgement. The emphasis is on understanding potential risks, considering learner impact, and showing the ability to improve AI outputs responsibly.</p>\r\n\r\n<p>Successful completion leads to a digital badge and certificate suitable for professional development records, portfolios, and LinkedIn. The microcredential supports teachers in developing fair, reflective, and equity-minded use of AI as part of their everyday practice.</p>\r\n","id":"https://my.certifyme.online/openbadge/badgeClasses/v2/27717","image":"https://blr1.digitaloceanspaces.com/apac-badge-image/7102/27717/602610/cert_8219739527717.png","issuer":{"id":"https://my.certifyme.online/openbadge/profiles/v2/7102","name":"Victoria Hedlund","type":"Profile","url":"GenEdLabs.ai","verification":{"allowedOrigins":"https://my.certifyme.online"}},"name":"Bias Aware Educator: Acquire Level","tags":["recognising bias reproduced by AI systems","identifying risks of exclusion or marginalisation","understanding how user inputs influence AI behaviour","evaluating the appropriateness and reliability of AI generated materials","applying basic mitigation strategies to improve fairness","making context informed pedagogical decisions about AI use","reflecting on alignment between AI outputs and equity goals"],"type":"BadgeClass"},"id":"https://my.certifyme.online/openbadge/assertions/v2/8219739527717","issuedOn":"Sat, 08 Nov 2025 09:54:01 GMT","recipient":{"identity":602610,"type":"ID"},"type":"Assertion","verification":{"type":"hosted"}}
