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22	FAQ: ABGC's Use of AI-Assisted Exam Question Development Why is ABGC using artificial intelligence (AI) in exam development?
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33<meta property="og:description" content="ABGC is committed to maintaining a high-quality, valid, fair, and secure certification examination while also supporting the significant efforts of our volunteer item writers and reviewers. To help achieve these goals, ABGC is implementing the use of an AI-assisted item writing tool, Generate, through our examination vendor, Prometric.
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541	<div><span class="date">8.12.2026</span></div>
542	<h2 class="article-title">FAQ: ABGC's Use of AI-Assisted Exam Question Development Why is ABGC using artificial intelligence (AI) in exam development?</h2>
543
544		
545		
546		
547		
548	<div class="article">
549		<div><p>ABGC is committed to maintaining a high-quality, valid, fair, and secure certification examination while also supporting the significant efforts of our volunteer item writers and reviewers. To help achieve these goals, ABGC is implementing the use of an AI-assisted item writing tool, Generate, through our examination vendor, <b>Prometric</b>.</p>
550
551<p>Generate is intended to support the development and maintenance of exam questions by helping item writers develop initial drafts, identify opportunities for refinement, and improve the efficiency of exam development. This technology serves as a tool to assist subject matter experts&mdash;not replace them.</p>
552
553<p><b>1. What role does AI play in the exam development process?</b></p>
554
555<p>Generate may be used to:</p>
556
557<ul>
558 <li><span style="tab-stops:list 1.0in">Assist with generating item content for item writers</span></li>
559 <li><span style="tab-stops:list 1.0in">Improve clarity and consistency of question wording</span></li>
560 <li><span style="tab-stops:list 1.0in">Ensuring items are appropriately referenced&nbsp;</span></li>
561 <li><span style="tab-stops:list 1.0in">Increase efficiency in examination development workflows</span></li>
562</ul>
563
564<p>Generate serves as a starting point and support tool. Final decisions regarding question content, accuracy, relevance, and quality always rest with ABGC subject matter experts (SME), including item writers and the Certification Exam Committee.</p>
565
566<p><b>2. Does AI replace ABGC item writers or reviewers?</b></p>
567
568<p>No. ABGC relies on the expertise of certified genetic counselors and volunteer subject matter experts to ensure that examination content reflects current standards of practice and accurately assesses the competencies required for certification.</p>
569
570<p>AI is intended to support the work of volunteers, allowing them to focus more of their time on reviewing, refining, validating, and improving examination content.</p>
571
572<p><b>3. How does ABGC ensure the quality of AI-assisted exam questions?</b></p>
573
574<p>Every question developed with Generate undergoes the same rigorous review processes as traditionally developed questions.</p>
575
576<p>These processes include:</p>
577
578<ul>
579 <li><span style="tab-stops:list 1.0in">Authored by trained item writers</span></li>
580 <li><span style="tab-stops:list 1.0in">Evaluated by item writers, Prometric, and the Certification Exam Committee</span></li>
581 <li><span style="tab-stops:list 1.0in">Alignment with the CGC Examination Content Outline</span></li>
582 <li><span style="tab-stops:list 1.0in">Psychometric review and analysis</span></li>
583 <li><span style="tab-stops:list 1.0in">Ongoing monitoring of examination performance and fairness</span></li>
584</ul>
585
586<p><b>4. Is ABGC examination content used to train external AI models?</b></p>
587
588<p>No. Generate is a secure, closed-source platform used within the item development environment. ABGC exam content remains protected and is not used to train publicly available or external AI models. Protecting ABGC&rsquo;s examination security and confidentiality remains a top priority.</p>
589
590<p><b>5. How does ABGC address concerns about bias in AI-generated content?</b></p>
591
592<p>ABGC recognizes that AI technologies may introduce or amplify bias if not carefully managed.</p>
593
594<p>To address this risk:</p>
595
596<ul>
597 <li><span style="tab-stops:list 1.0in">Genetic Counselors serve as subject matter experts to review all item content.</span></li>
598 <li><span style="tab-stops:list 1.0in">Questions are evaluated for fairness and relevance.</span></li>
599 <li><span style="tab-stops:list 1.0in">Examination content must align with the current CGC exam content outline.</span></li>
600 <li><span style="tab-stops:list 1.0in">Psychometric analyses are used to identify potential issues in question performance.</span></li>
601 <li><span style="tab-stops:list 1.0in">AI-generated content is never accepted without expert review and revision.</span></li>
602</ul>
603
604<p>ABGC&#39;s goal is to ensure that all examination content reflects principles of fairness, validity, and inclusiveness.</p>
605
606<p><b>
6066. What evidence supports the use of AI in assessment development?</b></p>
607
608<p>Emerging research suggests that AI-generated assessment questions can perform similarly to human-authored questions when subjected to rigorous review and quality assurance processes.</p>
609
610<p>At the same time, researchers have identified important limitations related to validity, bias, transparency, and content quality. These findings reinforce the need for expert oversight and support ABGC&#39;s approach of using AI as an assistive tool rather than relying on it independently.</p>
611
612<p>Alani et al. (2026).<i> </i>Can large language models generate exam questions comparable to humans? A systematic review and meta-analysis study in medical education. <i>Medical Teacher, 21.</i></p>
613
614<p>Crk, I., &amp; Gultepe, E. (2026). Evaluating the instrumental quality of LLM-generated assessment items. <i>Frontiers in Education</i>, <i>11</i>.</p>
615
616<p>Kurdi, G., et al. (2020). A Systematic Review of Automatic Question Generation for Educational Purposes. <i>International Journal of Artificial Intelligence in Education, 30.</i></p>
617
618<p>Isley, C., et al. (2026). Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study. Proceedings of AAAI, 40.</p>
619
620<p><b>7. Will AI affect the difficulty or fairness of the CGC examination?</b></p>
621
622<p>No. CGC exam questions will continue to undergo the same review, validation, and psychometric evaluation processes used before implementation of AI-assisted item development. The integrity of the certification examination remains paramount.</p>
623
624<p><b>8. How does this align with the genetic counseling profession&#39;s views on AI?</b></p>
625
626<p>ABGC&#39;s approach is consistent with the National Society of Genetic Counselors (NSGC) Position Statement, <i>&quot;The Use of Artificial Intelligence in Genetic Counseling&quot;</i> (adopted April 29, 2026).</p>
627
628<p>Like NSGC, ABGC recognizes that AI has the potential to enhance professional activities when it is implemented responsibly, validated appropriately, and used to complement&mdash;rather than replace&mdash;human expertise and professional judgment.</p>
629
630<p><b>9. What principles guide ABGC&#39;s use of AI?</b></p>
631
632<p>ABGC is guided by the following principles:</p>
633
634<ul>
635 <li><span style="tab-stops:list 1.0in">Certified Genetic Counselor subject matter experts maintain responsibility for, and oversight of, all examination content.</span></li>
636 <li><span style="tab-stops:list 1.0in">AI-generated content is reviewed, edited, and validated by item writers and the Certification Exam Committee.</span></li>
637 <li><span style="tab-stops:list 1.0in">Examination questions are never authored solely by AI systems.</span></li>
638 <li><span style="tab-stops:list 1.0in">Examination validity, fairness, security, and psychometric quality remain paramount.</span></li>
639 <li><span style="tab-stops:list 1.0in">Processes are designed to minimize bias and maintain alignment with current standards of genetic counseling practice.</span></li>
640 <li><span style="tab-stops:list 1.0in">The certification examination must continue to protect the public by accurately assessing professional competence.</span></li>
641</ul>
642
643<p><b>10. Will ABGC continue evaluating the use of AI?</b></p>
644
645<p>Yes. ABGC will continue to monitor developments in AI technology and evaluate the effectiveness, security, fairness, and appropriateness of AI-assisted item writing tools. Any use of AI in examination development will remain guided by ABGC&#39;s commitment to a valid, reliable, secure, and fair certification process.</p></div>
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983    <!--CDF(Javascript|/js/dnncore.js?cdv=87|DnnBodyProvider|100)--><!--CDF(Javascript|/js/dnn.modalpopup.js?cdv=87|DnnBodyProvider|50)--><!--CDF(Css|/Resources/Shared/stylesheets/dnndefault/7.0.0/default.css?cdv=87|DnnPageHeaderProvider|5)--><!--CDF(Javascript|/DesktopModules/EasyDNNNews/static/eds_jquery/eds_jq.js?cdv=87|DnnPageHeaderProvider|5)--><!--CDF(Css|/DesktopModules/EasyDNNNews/static/rateit/css/rateit.css?cdv=87|DnnPageHeaderProvider|100)--><!--CDF(Javascript|/DesktopModules/EasyDNNNews/static/rateit/js/jquery.rateit_2.2.js?cdv=87|DnnBodyProvider|100)--><!--CDF(Css|/DesktopModules/EasyDNNNews/static/common/common.css?cdv=87|DnnPageHeaderProvider|101)--><!--CDF(Javascript|/DesktopModules/EasyDNNNews/js/jquery.cookie_2.2.js?cdv=87|DnnBodyProvider|101)--><!--CDF(Javascript|/DesktopModules/EasyDNNNews/static/fluidvids/fluidvids_custom.min.js?cdv=87|DnnBodyProvider|102)--><!--CDF(Css|/DesktopModules/EasyDNNnews/Templates/_default/sb_skin/sb_skin.css?cdv=87|DnnPageHeaderProvider|16)--><!--CDF(Javascript|/DesktopModules/EasyDNNNews/static/EasyDnnSolutions/EasyDnnSolutions_1.1_2.2.js?cdv=87|DnnBodyProvider|103)--><!--CDF(Javascript|/Resources/libraries/jQuery-UI/01_13_02/jquery-ui.min.js?cdv=87|DnnPageHeaderProvider|10)--><!--CDF(Javascript|/Resources/libraries/jQuery/03_07_01/jquery.js?cdv=87|DnnPageHeaderProvider|5)-->
984    
985</body>
986</html>

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.