#235 The Interpreting SAFE AI Task Force with Katharine Allen and Dr. Bill Rivers

SlatorPod

Katharine Allen, Director of Language Industry Learning at Boostlingo, and Dr. Bill Rivers, Principal at WP Rivers & Associates, join SlatorPod to discuss the challenges and opportunities AI brings to interpreting. Both are founding members of the Interpreting SAFE AI Task Force, which aims to guide the responsible use of AI in language services.

Allen describes AI as a double-edged sword — capable of expanding multilingual access but limited in its ability to handle the nuanced human dialogue essential in fields like healthcare. She emphasizes the ongoing shift toward a hybrid model, where human interpreters collaborate with AI tools.

Rivers underscores the importance of ensuring AI solutions are “fit for purpose.” Drawing from his background in computational linguistics, he explains how insufficient data, particularly for lesser-diffused languages, limits AI’s reliability.

The duo express concern over the unregulated use of AI, citing examples where inaccuracies in AI translation led to significant consequences. The SAFE AI Task Force seeks to mitigate such risks by establishing guidelines and fostering collaboration across sectors.

Despite these challenges, Allen is optimistic about AI’s potential to help interpreters’ preparation and productivity, such as generating context-specific glossaries or simulating practice scenarios, saving time, and improving skill development. However, she cautions against over-reliance on AI, particularly in situations requiring deep human judgment.

Through the SAFE AI Task Force, Allen and Rivers advocate for collaboration and education to use AI responsibly, ensuring it serves as a tool to help interpreters rather than diminish the profession.

Kapitel

1. Intro (00:00:00)

2. Professional Backgrounds (00:00:50)

3. Perspectives on AI in Language Services (00:03:18)

4. Use Cases in Interpreting (00:08:57)

5. Challenges of Language Access in the US (00:12:04)

6. Formation and Goals of the Interpreting SAFE AI Task Force (00:15:45)

7. Applications and Challenges of AI in Healthcare (00:18:47)

8. Nuances in Language Processing (00:21:02)

9. Regulatory Landscape for AI Applications (00:22:43)

10. Civil Rights and Language Access (00:23:57)

11. Enforcement of Language Access (00:26:25)

12. Research on Marginalized Languages (00:29:35)

13. Data Limitations in AI Models (00:31:44)

14. SAFE-AI Research Insights (00:33:51)

15. Next Steps for SAFE-AI TF (00:36:21)

16. Challenges Ahead in AI Applications (00:37:34)

17. Technological Advancements in Interpreting (00:39:27)

18. Importance of Accountability and Education (00:42:21)

19. Tech Evolution and Productivity Gains (00:43:42)

20. Inclusion of Stakeholders in AI Development (00:44:56)