Exploring AI’s Role in Localization: Key Takeaways from LocWorld52

At the LocWorld 52 event we talked about "Implementation Lessons of a Generative AI LOC Framework from the Buyer and LSP Sides" - Bureau Works’ CEO Gabriel Fairman hosted a thought-provoking talk with localization experts Luciano Arruda, Yuka Kurihara, Gustavo Lucardi, and Jamil Raide. Together, they unpacked the role of generative AI in localization, sharing experiences, challenges, and insights into how AI can transform the industry.

Why Communication and Trust Matter

The discussion highlighted the importance of communication and trust in AI implementation. When teams feel confident and connected, they can innovate more freely and effectively.

Yuka Kurihara noted the role AI plays in opening up new collaboration possibilities.

‍"With AI, we’re able to engage a whole new segment of people in our organization," she shared​

Gabriel Fairman emphasized that establishing trust is foundational to any successful AI framework. By ensuring that partners understand AI’s role and impact, companies can foster smoother adoption.

Exploring and Testing AI Capabilities

For any AI tool to be effective in localization, rigorous testing is crucial. Luciano Arruda highlighted how curiosity drove his team’s experimentation with AI features, particularly with error detection and hallucination checks.

"Curiosity was key. We were all watching this movie unfold with all the possibilities before us," he added.

Luciano described a practical test his team used to identify potential AI translation errors or “hallucinations” by translating content from one language back to the original to see if it retained its meaning.

Navigating the Challenges of Change

Adapting to AI often takes people out of their comfort zones. This adjustment isn’t easy, but it can lead to growth and innovation.

Gustavo Lucardi observed,

"The preferred scenario is that the people and companies in the industry are out of their comfort zones,"

which he believes pushes teams to adapt and embrace change.

AI isn’t a one-size-fits-all solution. Gustavo highlighted how each team member's unique perspective and willingness to learn create a dynamic environment where innovation can flourish.

The Practical Side of AI: Efficiency and Engagement

AI in localization isn’t only about creativity; it’s also about efficiency. By streamlining processes, AI enables companies to meet client demands more swiftly and effectively.

Luciano Arruda shared that AI allowed his team to run quick experiments and collect useful data within weeks.

"It was a pleasure to figure out how to run experiments and actually have some data to show," he stated​.

Luciano’s approach underscores the trial-and-error process in AI. He noted that translating complex ideas with AI requires patience and experimentation.

Building Trust with AI

Trust was a recurring theme in the conversation, especially for Jamil Raide, who emphasized that AI’s success hinges on the trust and cooperation of everyone involved.

Jamil mentioned:

"Virtually, we can resolve pretty much anything with technology, but establishing trust with partners and clients is essential," noting that transparency in how AI tools work is vital for building confidence​.

The speakers agreed that a gradual approach, involving partners in the AI journey, fosters an environment where AI becomes an ally rather than a disruption.

Final Thoughts

The journey of integrating AI into localization is still in its early stages, with many challenges and opportunities ahead. However, the insights from this conversation provide a hopeful glimpse into the future. With trust, curiosity, and creativity at the forefront, localization teams can leverage AI to enhance productivity and drive innovation.

As Yuka Kurihara aptly summarized,

"AI has given us a whole new level of engagement."

By embracing this powerful tool, localization professionals can open new avenues for collaboration, ultimately shaping a future where AI and human expertise work hand in hand.