The rise of AI interpreting solutions presents a massive opportunity for global language access, but it also introduces unprecedented risks. In this episode, we are joined by experts from the SAFE AI Task Force and COSET (Coalition for Sign Language Equity in Technology) to break down their newly launched AI Interpreting Solutions Evaluation Toolkit.

This conversation moves past the hype to offer a practical framework for responsible AI adoption. Our panel discusses how to assess organizational readiness, spot critical gaps in vendor demos, and ensure compliance for both spoken and signed languages.

An ASL version is also available on YouTube.

We welcome Belén Agulló and Marina Pantcheva to discuss the origin and core mission of the AI Localization Think Tank. Born out of a need for independent, agenda-free discussions, this volunteer-led group aims to break down information silos between freelancers, suppliers, and buyers.

Belen and Marina also break down what to expect at the first-ever AI ThoughtCon taking place from March 30 through April 1. 

In this episode, we explore the history and legacy of the European Language Industry Association (ELIA). Co-founder Roberto Ganzerli, former President Françoise Bajon, and current President Anu Carnegie-Brown join us to discuss how ELIA grew from a 2005 initiative into a vital pan-European space for language companies.

Tune in to hear open insights on surviving technological shifts, why modern associations must focus on peer benchmarking, and why building a resilient community requires members to give just as much as they get.

The demand for real-time language access is surging globally, but how can technology bridge the gap? Claudio Fantinuoli, creator of Interpret Bank and former CTO at KUDO, breaks down the intersection of AI and human expertise in the interpreting booth.

In this episode, explore and learn how professionals use CAI tools to enhance their performance, the moral value of expanding language access, and why ignoring the rise of machine interpretation is the biggest risk of all.

Interview by Mimi Moore

Having immigrated from Iran to Austria, learned multiple foreign languages, and developed diverse skills from translation to AI, Fatemeh-Shirin Asgari knows the value of perseverance and adaptability. She now leads digital language initiatives for Austria’s national railway system. In this interview, she shares the story of her unconventional career path and her greatest lessons learned along the way.

By Olga Beregovaya and Alex Yanishevsky

While AI translation tools can generate hallucinations, the good news is that there are many practical ways to detect and mitigate them. This article delves into the reasons behind the problem and the techniques that can be used to address it.

By Anika Schaefer

This article explores the linguistic theories that laid the foundation for natural language processing, confronts the ethical risks of allowing machines to speak on our behalf, and presents a new vision for socially responsible AI language models.

Interview by Renato Beninatto

For Kathy Mok, head of internationalization and localization at OpenAI, the present challenge centers on not only what AI technology can accomplish, but also how humans will shepherd it into a tool that enables genuine communication and trust-building.

By Gabriela Kouahla

The author explains why current machine translation post-editing (MTPE) workflows cause mental exhaustion and emotional detachment. She proposes practical steps towards making MTPE more meaningful and sustainable to the benefit of all stakeholders.

By Giovanna Patruno

In today’s localization industry, leaders who shape how AI is governed and embedded into systems are disproportionately male. The author of this article argues that if women continue to be excluded from AI governance, the industry risks developing flawed and biased systems.