Neur.on at the GEN AI Summit 2024 in Lausanne: the challenges of AI in legal translation
Neur.on team29 May 20242 min readOn 29 May 2024, Paula Reichenberg, CEO of Neur.on, spoke at the GEN AI Summit 2024 in Lausanne, in the “Domain Specific Innovation” session. She presented the limits of tools like DeepL for specialised legal and financial translation, the cultural and linguistic challenges of legal translation and the progress expected from AI in this field.
The GEN AI Summit 2024 in Lausanne brought together industry leaders and innovators to shape the future of technology. We are proud to share that our CEO, Paula Reichenberg, was one of the speakers at the summit on 29 May. She shared her insights into the dynamic world of generative AI.
At the summit, the discussions went beyond the major announcements from tech giants like OpenAI and Google. Participants were able to explore various use cases with panoramai.ch. These examples demonstrated the real value of generative AI and gave participants actionable insights for their own projects.
Paula took part in the “Domain Specific Innovation” session, alongside distinguished speakers such as Raphaël Briner, Pascal Wicht, Romain Rosay (CTO of Amplify) and Deepak Tewari (CEO of Privately). The session explored the nuances of AI and technology across different industries.
Key takeaways from Paula’s talk
- Limitations of current machine translation tools: Paula highlighted the challenges of using tools like DeepL for specialised legal and financial translations. She stressed how difficult it is to render the nuances between different legal systems.
- Cultural and linguistic challenges: She discussed the significant cultural and linguistic barriers to achieving accurate translations, which are critical in legal contexts.
- Future aspirations for AI in legal translation: Paula presented the incremental improvements and future goals for AI to better serve the field of legal translation.
The broader impact of AI
The session also covered the wider effects of AI on society, including potential job losses and the ethical considerations of AI applications. Audience questions raised practical issues, such as the accuracy of age detection across different ethnic backgrounds and how to deal with deepfakes. The speakers reassured the audience about ongoing efforts to refine these technologies and make sure they meet regulatory standards.
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