Title: A Risk Framework for Interpreting in the Age of AI: What You Need to Know Now ON DEMAND 0.2 CEUs processed by Vancro Available in English, Spanish, and American Sign Language Language translations created automatically by artificial intelligence (AI) are showing up in multilingual communication. What do you need to know to decide if an AI app is doing everything a Human Interpreter does? This workshop introduces the AI Interpreting Solutions Evaluation Toolkit co-developed by the Coalition for Sign Language Equity in Technology (CoSET) and the Interpreting SAFE AI Task Force. This Toolkit is built around a risk framework for recognizing risk factors that influence the communication process. Such risk factors – if ignored – can lead to harmful outcomes for primary communicators: Deaf, Hearing, and between spoken languages, too. These risk factors can be reasonably assessed with the Toolkit’s comprehensive checklists covering the three risk dimensions of tech design and specifications, profiles of the primary communicators, and typical characteristics of the type of interaction (casual, for work, education, healthcare, services, etc.). We’ll also introduce the five checklists, highlighting key technical specifications, and relevant law. Presenters Dr. Abraham Glasser, PPP CoSET, Toolkit co-author: Dr. Abraham Glasser is a faculty member in the Accessible Human-Centered Computing and Policy (AHCP) program at Gallaudet University, and there he is also co-director of the Rehabilitation Engineering Research Center on Technology for the Deaf and Hard of Hearing (DHH RERC). He and his students conduct Human Computer Interaction (HCI) research involving AI, immersive technologies, and accessible computing for Deaf and Hard of Hearing users. He is also a member of the Coalition for Sign Language Equity in Technology (CoSET) and has contributed to published resources supporting standards work, e.g. for AI-based interpreting. Overall, Dr. Glasser has published numerous works and delivered award-winning presentations at prestigious international venues, such as ACM, IEEE, and other events, including but not limited to AAATE, ASSETS, CHI, CSUN ATC, CUI, CVPR, DAC, EMNLP, GALA, ICED, LREC, TAPIA, TISLR, IEEE VR, VRST, W4A, XR ACCESS, and WFD events. Molly Glass, Leadership Circle CoSET, Toolkit co-author: Molly Glass is a Deaf professional with a strong commitment to ethical and community-centered solutions. For the past three years, she has worked as an ASL Specialist and Deaf Interpreter (DI) at Kara Technologies, contributing to innovative language access projects through sign language technology. She graduated college in 2010 with a B.S in Multi-disciplinary Studies and recently obtained a Certificate in Deaf Interpreting (CIDI) from RIT / National Technical Institute for the Deaf (NTID). In 2025, she joined the leadership team of Coalition for Sign Language Equity in Technology (CoSET) and is member in SAFE AI Task Force where she and her colleagues together advocate for inclusive, ethical AI design that reflects the lived experiences of the Deaf community. Jeff Shaul, Leadership Circle, CoSET: Jeff Shaul is a Deaf technologist from Cincinnati, Ohio, now based in Rochester, New York. He is a co-founder and CTO of GoSign.AI, a signed-languages-first data and gaming platform advancing AI fairness and accessibility across languages and modalities. Jeff also volunteers with the Coalition for Sign Language Equity in Technology (CoSET), where he co-develops ethical AI evaluation frameworks. Using ASL and written English to communicate, he is a full-stack developer who has built a wide range of mobile applications—both native and cross-platform—with an emphasis on accessibility and inclusion. With an early background in bioinformatics research and supercomputing, he brings a deep appreciation for the value of data in building equitable, human-centered technology. Learning Objectives Name and describe at least one example for each of the three key risk areas for AI acting as an interpreter. Demonstrate how protecting primary communicators also protects involved organizations’ legal, financial and reputational standing. Identify differences between low-risk and high-risk levels for AI interpreting solutions. List at least three of the five different checklists and explain what each one can evaluate. Demonstrate the ability to critically evaluate vendor claims by distinguishing between marketing claims and evidence of performance. Audience: Interpreters of all skill levels, Interpreter Educators, Primary Communicators using signed and spoken languages, Developers (if curious) and Clients (business, government, education, healthcare, etc) Refund/Cancelation Policy: refunds will be provided for cancellations made up to 3 days of the purchase. Requests made for reasonable accommodations will be made for participants.CoSET promotes an environment of mutual respect free of discrimination on gender, sexual orientation, race, religion, hearing status, or any other protected class.Vancro Integrated Interpreting Services (VIIS) is an approved RID CMP sponsor for Continuing Education Activities. This workshop is offered for .2 CEUs in the Professional Studies area at the little to no Content Knowledge level. No partial CEUs will be given. Participants will receive a certificate of attendance. No partial CEUs will be given.Participants will receive a certificate of attendance.As always, VIIS is committed to offering educational opportunities free from discrimination and bias. For accommodations contact: [email protected].