A Risk Framework for Interpreting in the Age of AI: What You Need to Know Now
CEU details below: Español abajo.
See what Eileen Forestal of the Conference of Interpreter Trainers (CIT) said about this workshop!
¡Mira lo que dijo Eileen Forestal, de la Conferencia de Formadores de Intérpretes (CIT), sobre este taller!
This course introduces a foundational document ready to be used for the purpose of strengthening communication access and interpreting services for language communities throughout the U.S. (maybe beyond).
CEU information below the Spanish translation.
The purpose of this Toolkit document is two-fold:
1) it provides concrete tools-you-can-use-right-now for people whose job it is to fill appointments with the right kind of language access,
2) and establishes a risk framework everyone can understand that accounts for the three dimensions of interaction where harm can arise from translation errors.
This is an “on demand” course which means you take it at your own pace (within a reasonable time period). You can take it with or without CEUs. The video content of this course is from a live presentation given to faculty of the Department of ESL, ASL & Linguistics at Long Beach Community College (CA). It is used with permission.
To register go to https://www.zeffy.com/en-US/ticketing/a-risk-framework.
Available in ASL, Spanish, and English.
Disponible en lengua de señas americana (ASL), español e inglés.
Este curso presenta un documento básico listo para su uso con el fin de mejorar el acceso a la comunicación y los servicios de interpretación para las comunidades lingüísticas de todo Estados Unidos (y quizá más allá).
El objetivo de este documento de la caja de herramientas es doble:
1) ofrece herramientas concretas que se pueden utilizar de inmediato para aquellas personas cuyo trabajo consiste en coordinar citas con el tipo adecuado de acceso lingüístico,
2) y establece un marco de riesgos comprensible para todos que tiene en cuenta las tres dimensiones de la interacción en las que pueden surgir daños a causa de errores de traducción.
Este es un curso «a la carta», lo que significa que puedes seguirlo a tu propio ritmo (dentro de un plazo razonable). Puedes realizarlo con o sin créditos de educación continua (CEU). El contenido en vídeo de este curso procede de una presentación en vivo impartida al cuerpo docente del Departamento de ESL, ASL y Lingüística del Long Beach Community College (California). Se utiliza con permiso.
Para inscribirte, visita https://www.zeffy.com/en-US/ticketing/a-risk-framework.
Continuing Education Units (CEUs or professional development)
ON DEMAND THROUGH COSET’S MOODLE PLATFORM learn.coset.org – you will receive instructions after registration and payment.
0.2 CEUs processed by Vancro
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.
- Identify differences between low-risk and high-risk levels for AI interpreting solutions.
- Demonstrate how protecting primary communicators also protects involved organizations’ legal, financial and reputational standing.
- 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: info@coset.org.
