Machine interpreting (MI), like any emerging technology, presents a range of ethical challenges that require careful consideration and governance (Cath, 2018; Floridi, 2021). Designed to enhance communication and understanding across language barriers, from everyday interactions to high-stakes scenarios, this technology has the potential to significantly impact diverse areas of human life. For this reason, its…
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Beyond AI: Why the CIRIN Bulletin Still Matters
In the rapidly evolving approaches to academic work, where digital resources and artificial intelligence are transforming the way research is conducted, there remains a steadfast beacon of scholarly rigor in Interpreting Studies: the CIRIN Bulletin. Compiled biannually by Daniel Gile, one of the most esteemed figures in the discipline, the CIRIN Bulletin is far more…
Panel: The Future of Interpreter Training: Challenges, AI, and the Path Forward
This week, I had the privilege of moderating an interesting panel discussion on interpreter training and its future in the face of rapid technological change (video recording here). I was able to bring together experts from academia and industry, including: Carlo Eugeni, Winnie Heh, Giorgia Martina, and Dieter Runge. Each of them brought a unique…
System 0 – how technology is changing our minds
It doesn’t happen often, but every now and then, it does. You come across something — an idea, a concept, a phrase — and it hits you like a lightning bolt. Suddenly, everything clicks. It could be a brand-new discovery, the articulation of an intuition you’ve long had, or the moment when a vague notion…
What happens when AI can generate podcasts
This was the question I asked myself when I first heard that this was technically possible. So, I had to try it out. I simply provided a link to something I know very well: my work, and watched the results emerge. Here are two podcasts generated by NotebookLM: The first is quite serious and is…