Related sessions at AIME-Con 2026: AI and the profession itself

Related sessions at AIME-Con 2026: AI and the profession itself _Chair's notes for the session corpus, 6 October 2026. These are the 22 items in the printed AIME-Con 2026 program (5–7 October, Wyndham Grand Pittsburgh) that an AI coder judged to address the measurement profession itself: its norms, roles, competencies, training, accountability or governance. Of the 335 program items, 221 build AI into assessment products and 131 use AI in professionals' own methods. Day, time and room are as printed. Titles are from the program; nothing else is known about these talks beyond their printed abstracts._ - **Integrating Generative AI into R Workflows: From APIs to Shiny Apps** (Training; session "Integrating Generative AI into R Workflows: From APIs to Shiny Apps"; Mon Oct 5 · 1:00 PM–5:00 PM · Commonwealth 1). Why it is listed: Frames a training gap for measurement professionals expected to adopt AI while upholding standards. - **Writing an AI-Native Dissertation** (Training; session "Writing an AI-Native Dissertation"; Mon Oct 5 · 1:00 PM–5:00 PM · King’s Garden 2). Why it is listed: Reimagines doctoral training: building an AI-native dissertation, a change in how researchers are formed. - **Industry Leader Perspectives: How AI is Changing K12 Measurement Roles** (Panel; session "Industry Leader Perspectives: How AI is Changing K12 Measurement Roles"; Tue Oct 6 · 9:15 AM–10:45 AM · Commonwealth 2). Presenters: Catherine Close; Kristen Huff, Curriculum Associates; Dianne Henderson; Jennifer Dunn, The. Why it is listed: Panel explicitly about how AI is changing K12 measurement roles. - **Responsible use of generative AI when creating reading comprehension questions: Inference matters** (Individual Paper; session "Automated Item Generation & Item Writing"; Tue Oct 6 · 11:00 AM–12:30 PM · Heinz). Presenters: Zuowei Wang, Educational Testing Service; Michael Flor, ETS; Jiyun Zu, ETS; Tenaha O’Reilly; Wanjing Ma, Stanford University. Why it is listed: Argues responsible-use practice: AI item evaluations should document prompts and generation steps. - **Our Future with AI: Graduate Student Perspectives on a Changing Profession** (Sponsor; session "Our Future with AI: Graduate Student Perspectives on a Changing Profession"; Tue Oct 6 · 11:00 AM–12:30 PM · Commonwealth 1). Why it is listed: Panel on how AI changes the profession, graduate training and career preparation. - **A Jurisdictional Scan of Automated Scoring Practices in K-12 Summative Assessment Programs** (Individual Paper; session "AI Generation and Estimation of Item Parameters and Skill Blueprints"; Tue Oct 6 · 1:45 PM–3:15 PM · King’s Garden 4). Presenters: Su Zhang; Jennifer Hove, Education Quality and Accountability Office; Zhimei Gu, Education. Why it is listed: Scan of automated-scoring practices across state programs; describes operational practice landscape of the field. - **Human-Centered AI Applications: Bridging Learning Science, Assessment, and Ethics** (Panel; session "Human-Centered AI Applications: Bridging Learning Science, Assessment, and Ethics"; Tue Oct 6 · 1:45 PM–3:15 PM · Commonwealth 2). Presenters: Kristen Dicerbo, Khan Academy; Fred Oswald, UC Irvine; Thema Monroe-White, George Mason.

Presenters: Kristen Dicerbo, Khan Academy; Fred Oswald, UC Irvine; Thema Monroe-White, George Mason. Why it is listed: Panel on governance choices sharing responsibility and authority between humans and AI in assessment. - **AI-Assisted Rater Training Modules: Effects on Qualification and Scoring Quality** (Coordinated Paper; session "Recent AI Applications at Measurement Incorporated (MI)"; Tue Oct 6 · 1:45 PM–3:15 PM · Grand Ballroom 1). Presenters: Jie Chen, Measurement Incorporated; Duanli Yan, Measurement Incorporated; Yong He. Why it is listed: AI-assisted rater training and qualification; subject is training of the scoring workforce. - **Human agency before and after Generative Artificial Intelligence in education, assessment, measurement** (Coordinated Paper; session "AI for Measurement in Educational Learning and Assessment (upcoming book)"; Tue Oct 6 · 3:45 PM–5:15 PM · Commonwealth 1). Presenters: Andrew Ho, Harvard University. Why it is listed: Human agency in measurement before and after GenAI; plausibly addresses professionals' authority and role. - **Building Responsible AI Practice in Language Assessment: Anticipating What’s Next** (Panel; session "Building Responsible AI Practice in Language Assessment: Anticipating What’s Next"; Tue Oct 6 · 3:45 PM–5:15 PM · King’s Garden 5). Presenters: Jill Burstein, Duolingo; Alina von Davier, Duolingo; Ikkyu Choi, ETS; Sarah Hughes, Pearson; Xun. Why it is listed: Panel on building responsible AI practice in language assessment; professional norms. - **To Err is not only Human: Human/LLM Collaboration in Assessment** (Panel; session "To Err is not only Human: Human/LLM Collaboration in Assessment"; Tue Oct 6 · 3:45 PM–5:15 PM · Commonwealth 2). Presenters: Edith Graf, Proof-of-Concept Learning LLC; Manqian Liao, Duolingo; Maria Oliveri, Purdue. Why it is listed: Panel on human/LLM collaboration and error in assessment work; implies division of verification responsibilities. - **AI-Augmented Form Assembly from a Secure Item Bank: A Faculty Pilot** (Poster; session "Poster Session & Reception"; Tue Oct 6 · 5:15 PM–6:30 PM · King’s Garden 1-3). Presenters: Fen Fan, National Board of Medical Examiners; Jerusha Henderek, NBME; Amanda Clauser,. Why it is listed: Faculty test builders using AI; examines their judgment boundaries in AI-assisted form assembly. - **Building Teacher Capacity to Generate and Evaluate Math Items with Small LLMs** (Poster; session "Poster Session & Reception"; Tue Oct 6 · 5:15 PM–6:30 PM · King’s Garden 1-3). Presenters: Minseok Kim, University of Pennsylvania.

Presenters: Minseok Kim, University of Pennsylvania. Why it is listed: Professional development model building teacher capacity to generate and evaluate items with LLMs. - **Interweaving Assessment: A Field-Generated R&D Agenda for AI and Measurement** (Panel; session "Interweaving Assessment: A Field-Generated R&D Agenda for AI and Measurement"; Wed Oct 7 · 9:15 AM–10:45 AM · Commonwealth 2). Presenters: Britte Cheng, Menlo Education Research; Susan Lyons, National Council on Measurement in. Why it is listed: Field-generated R&D agenda for AI and measurement; the field setting its own direction. - **Implementing Generative AI Assessment Guidelines in a Mexican University** (Individual Paper; session "Demonstrating Validity Evidence for LLM-Based Assessment Tools"; Wed Oct 7 · 11:00 AM–12:30 PM · Duquense). Presenters: Melchor Sánchez-Mendiola, National Autonomous University of Mexico (UNAM); Enrique Buzo-. Why it is listed: University policy process for GenAI assessment guidelines, transparency, and faculty development; governance of AI in assessment. - **Educational Measurement as an AI-Native Profession** (Panel; session "Educational Measurement as an AI-Native Profession"; Wed Oct 7 · 11:00 AM–12:30 PM · Commonwealth 2). Presenters: Damian Betebenner, Center for Assessment; Frank Rijmen, Cambium Assessment; Derek Briggs, University of Colorado - Boulder; Mohammed Abulela, MetaMetrics, Inc. and University of Minnesota. Why it is listed: Panel on professional norms, training, accountability and standards of an AI-native measurement profession. - **Trust Calibration in AI-Assisted Content Verification** (Individual Paper; session "Impacts of AI on Educators, Students, and Assessment"; Wed Oct 7 · 11:00 AM–12:30 PM · Smithfield/Birmingham). Presenters: Laine Bradshaw, Pearson. Why it is listed: How SMEs calibrate trust in AI verification concerns; professional review responsibilities. - **Is AI a Foundational Competency or Does AI Elevate Aspects of Competencies?** (Coordinated Paper; session "AI Competencies in Educational Measurement: Expanding the NCME Foundational Competencies"; Wed Oct 7 · 1:45 PM–3:15 PM · Commonwealth 1). Presenters: Michael Russell, Boston College. Why it is listed: Whether AI is a foundational competency for measurement professionals (NCME competencies). - **Don’t Throw the BAIby Out with the Bathwater: Connecting FCEM to AI** (Coordinated Paper; session "AI Competencies in Educational Measurement: Expanding the NCME Foundational Competencies"; Wed Oct 7 · 1:45 PM–3:15 PM · Commonwealth 1). Presenters: Magdalen Beiting-Parrish.

Presenters: Magdalen Beiting-Parrish. Why it is listed: Connecting NCME foundational competencies to AI; professional competencies. - **AI Competencies in Education and Credentialing: Aligning Expectations with Evolving Practice** (Coordinated Paper; session "AI Competencies in Educational Measurement: Expanding the NCME Foundational Competencies"; Wed Oct 7 · 1:45 PM–3:15 PM · Commonwealth 1). Presenters: Susan Davis-Becker, ACS Ventures, LLC. Why it is listed: AI competencies for measurement and credentialing professionals aligned with evolving practice. - **Technical AI Competencies as Measurement Competencies** (Coordinated Paper; session "AI Competencies in Educational Measurement: Expanding the NCME Foundational Competencies"; Wed Oct 7 · 1:45 PM–3:15 PM · Commonwealth 1). Presenters: Matthew Johnson, ETS Research Institute. Why it is listed: Technical AI competencies as measurement competencies; professional competency framework. - **Responsible AI in Digital Assessment: Case Studies with the Duolingo English Test** (Coordinated Paper; session "Building Resilience Infrastructure for Digital Learning and Assessment"; Wed Oct 7 · 3:45 PM–5:15 PM · Commonwealth 1). Presenters: Siyuan Chen, Duolingo, Inc.; Xiaowan Zhang, Duolingo; Andrew Runge, Duolingo; Jacqueline. Why it is listed: Responsible AI case studies at a testing program; governance of AI use in assessment practice.