This is a public reference wiki on AI and assessment, with topic pages synthesising what the sources suggest and where the evidence is still contested. Start with a topic overview, then follow the linked comparison and source-note pages for detail. The wiki is designed to help assessment leaders, regulators, practitioners, and suppliers compare risks, trade-offs, and good practice.

- [[ai-in-assessment|Artificial Intelligence (AI) in Assessment]] - [[test-security|Test Security and Integrity]] - [[regulator-positions|Regulator positions]] - [[assessment-procurement-and-governance|Assessment procurement and governance]] - [[ai-marking-and-feedback-platforms|AI marking and feedback platforms]] - [[automated-item-generation|Automated item generation]] - [[ai-detection-and-authenticity|AI detection and authenticity]] - [[non-exam-assessment-authenticity|Non-exam assessment authenticity]] - [[ai-in-assessment-design|AI in assessment design]] - [[ai-literacy-and-assessment-design|AI literacy and assessment design]] - [[assessment-verification-and-learning-outcomes|Assessment verification and learning outcomes]] - [[campus-ai-ecosystems|Campus AI ecosystems]] - [[cognitive-offloading-and-ai|Cognitive offloading and AI]] - [[generative-ai-in-credentialing-assessments|Generative AI in credentialing assessments]] - [[llm-resistant-exams|LLM-resistant exams]] - [[on-screen-assessment|On-screen assessment]]

The Test Community Network AI & Assessment Wiki is a cited reference point for understanding how artificial intelligence is affecting assessment design, delivery, scoring, security, validity, fairness, regulation, identity assurance, and market practice.

### AI in assessment - [[ai-in-assessment-guardrails-vs-surveillance|AI guardrails versus surveillance in assessment]] - [[ai-literacy-governance-and-authenticity-in-higher-education|AI literacy, governance, and authenticity in higher education]] - [[ncca-ai-guidance-for-certification-programs|NCCA AI guidance for certification programmes]] - [[entrepreneurship-and-innovation-in-assessment-ai|Entrepreneurship and innovation in assessment AI]] ### Test security - [[remote-proctoring-and-invigilation-controls|Remote proctoring and invigilation controls]] - [[secure-browsers-and-controlled-environments|Secure browsers and controlled environments]] - [[credential-security-and-verification|Credential security and verification]] - [[test-security-vendor-landscape|Test security vendor landscape]] - [[test-security-human-vs-ai-remote-proctoring|Human versus AI remote proctoring]] - [[test-security-compromised-item-detection-cat|Compromised item detection in computerised adaptive testing]] - [[test-security-comparison-proxy-interviews-ai-cheating-deepfakes|Proxy interviews, AI cheating, and deepfakes in recruitment security]]

- [[ai-in-assessment]] — core overview of AI in assessment, including authenticity, validity, security, marking, item generation, learner support, and governance. - [[ai-in-assessment-design]] — how to design assessment tasks for explicit, defensible AI use. - [[ai-marking-and-feedback-platforms]] — AI-assisted marking, scoring, routing, and feedback workflows. - [[ai-marking-reliability]] — reliability, moderation, explainability, and appeal questions for AI marking. - [[automated-item-generation]] — AI drafting and item production workflows. - [[ai-assisted-item-development]] — controlled AI support for assessment content development. - [[adaptive-and-psychometric-ai]] — AI in routing, estimation, and measurement models. - [[ai-detection-and-authenticity]] — detection, authorship, and authenticity control. - [[ai-enabled-assessment-security]] — security, identity, invigilation, and integrity controls. - [[assessment-procurement-and-governance]] — supplier evaluation, accountability, and validation. - [[regulator-positions]] — regulator and policy signals about AI in assessment. - [[learner-support-and-inclusion]] — accessibility, support, and fair participation. - [[cognitive-offloading-and-ai]] — how study tools and AI support can change the work learners do before assessment. - [[ai-literacy-and-assessment-design]] — how AI capability and assessment design shape each other. - [[ai-personalized-learning-and-assessment]] — personalised learning, support, and the evidence claim. - [[campus-ai-ecosystems]] — institutional AI conditions around policy, access, and platforms. - [[generative-ai-in-credentialing-assessments]] — licensure, certification, and high-stakes credentialing. - [[ai-accessibility-and-security-in-credentialing]] — the access-security trade-off in credentialing. - [[non-exam-assessment-authenticity]] — coursework, authorship, and process evidence. - [[on-screen-assessment]] — digital delivery, construct fit, and candidate trust. - [[wearable-ai-in-exams]] — covert AI assistance and exam security. - [[llm-resistant-exams]] — task redesign for human judgement and AI resistance. - [[voice-assessment-and-speakers]] — spoken-response systems and validity questions.

- [[ai-in-assessment]] – overview of the AI and assessment topic - [[ai-in-assessment-design]] – how to design tasks when AI is part of the environment - [[assessment-procurement-and-governance]] – how to buy and govern AI-enabled tools safely - [[assessment-verification-and-learning-outcomes]] – how to preserve the meaning of the result - [[ai-marking-and-feedback-platforms]] – what AI marking tools do and where the risks sit - [[ai-detection-and-authenticity]] – why detection is not the same as authenticity - [[ai-enabled-assessment-security]] – how AI changes security and integrity controls

- [[test-security-source-note-asrg]] - [[test-security-source-note-asrg-devices-of-deception]] - [[test-security-source-note-caveon-observer]] - [[test-security-source-note-cognisense]] - [[test-security-source-note-compilatio]] - [[test-security-source-note-cursive-technology-inc]] - [[test-security-source-note-eaa-online-proctoring-sig-webinar-ai-in-online-proctoring]] - [[test-security-source-note-fiji-cheating-trend]] - [[test-security-source-note-germany-driving-exam-cheating]] - [[test-security-source-note-hidden-in-plain-sight-wearable-technology]] - [[test-security-source-note-ielts-score-changes]] - [[test-security-source-note-kryterion-databricks]] - [[test-security-source-note-kseab-sslc-2026-paper-leak]] - [[test-security-source-note-kuwait-cheating-app]] - [[test-security-source-note-lsat-china]] - [[test-security-source-note-managing-malpractice-and-maladministration]] - [[test-security-source-note-ncta-atp-online-observation-of-tests-standards]] - [[test-security-source-note-pearson-palm-print-id]] - [[test-security-source-note-remote-assessment-vendor-evaluation]] - [[test-security-source-note-remote-testing-experience]] - [[test-security-source-note-south-africa-teen-suicide]] - [[test-security-source-note-star-tutors-indicted-for-buying-test-questions-from-teachers]] - [[test-security-source-note-test-delivery-polarisation]] - [[test-security-source-note-uneb-arrests-exam-cheating]] - [[test-security-source-note-using-keystroke-dynamics-to-detect-nonoriginal-text]] - [[test-security-source-note-vibe-coding-cheating-apps]] - [[test-security-source-note-waec-neco-anti-malpractice]] - [[test-security-source-note-zunoma]] - [[test-security-source-note-ao-forum-regulator-panels]]

- [[ai-in-assessment]] - [[ai-in-assessment-design]] - [[ai-marking-and-feedback-platforms]] - [[ai-marking-reliability]] - [[automated-item-generation]] - [[assessment-procurement-and-governance]] - [[ai-enabled-assessment-security]] - [[cognitive-offloading-and-ai]] - [[ai-personalized-learning-and-assessment]] - [[generative-ai-in-credentialing-assessments]] - [[wecp-ai]] - [[what-teachers-should-know-about-chatgpts-new-study-mode-feature]] - [[ai-driven-exam-breaches-surge-as-schools-grapple-with-cheating-top-principal-issues-warning-1]] - [[ai-in-assessment-introduction-to-computerized-adaptive-testing]] - [[ai-personalized-learning-a-new-era-in-education-exploring-global-cultural-perspectives-in-education-and-personalized-learning]]

- Internal wiki index maintained from topic pages and source coverage logs.

It helps assessment leaders, regulators, suppliers, and researchers understand how AI changes the security, validity, and governance of assessment. Each page aims to explain the underlying issue, the evidence behind it, and the questions a reader should ask next.

- More primary regulator publications would strengthen pages on policy and qualification design. - More independent validation studies would strengthen pages on AI marking, feedback quality, item generation, and automated essay scoring. - More implementation case studies would help distinguish classroom, professional certification, and high-stakes testing use cases. - More evidence is needed on the environmental, labour, and dependency costs of AI procurement in assessment settings. - More evidence is needed on process-focused assessment models and oral verification designs beyond early practitioner descriptions. - More independent evidence is needed on cognitive offloading, metacognitive laziness, and long-term learning outcomes. - More evidence is needed on whether assessment systems can reliably verify learner judgement, not just polished outputs. - More independent published evidence would strengthen the TCN source themes on item-generation workflows, expert-in-the-loop governance, and explainable marking. - More independent evidence is needed on AI detector robustness, especially against adversarial techniques and across language groups.