We were thrilled to welcome Carrie Fischer as our guest this week! With an impressive career that includes roles at top companies like Disney, Oracle, and Subway, Carrie shared her incredible journey with us.

Here’s a glimpse of what we covered:

• Insights into guiding teams and fostering growth.
• The vital role of empathy in our profession.
• Tips for leaders and the importance of having a support network.
• Diversity: What it means for our community and the industry at large.
• Language Connects Foundation.

Carrie also reflected on her personal journey, sharing how she naturally stepped into leadership roles and offered her views on the future of the industry with AI and other emerging tools. She expressed optimism about the endless opportunities ahead and encouraged everyone to connect with communities like LocLunch to combat isolation and build networks among fellow professionals.

Stick around for Carrie's final insights on the future of the localization industry and advice for new voices eager to make an impact.

This was one conversation you wouldn’t want to miss! You can learn more about Carrie here: https://www.linkedin.com/in/carrie-livermore-fischer-12046b/

P.S. Don't forget to leave a review and subscribe to Merging Minds Podcast powered by Bureau Works for more thought-provoking podcast episodes.

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https://mergingminds.ai

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Podcast powered by Bureau Works, a cloud localization platform that makes complex translation tasks simple and predictable.

www.bureauworks.com

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It is the question everyone is asking about AI- Can we handle it? Such a powerful tool requires us to be responsible in the ways we use it, and we are all wondering if we are up to the challenge.

In this episode of Merging Minds, Gabriel speaks with an expert on these questions. Harish Arunachalam is an expert on responsible AI development and is a Principal Data Scientist in Responsible AI at Verizon.

Harish and Gabriel discuss:

• Applied machine learning for discovering tumors
• Responsible vs. Irresponsible AI
• Larger values to guide AI solutions
• Explainability, transparency, privacy, fairness, accountability
• Algorithmic fairness is easy, systemic fairness is hard
• Losing humanity in the algorithm
• Comparing humans to algorithms is apples to oranges
• Quantifying human qualities
• Avoiding hallucinations in AI
• Emulating thought diversity in algorithms
• The sweet spot between diversity and randomness in AI
• Is there fairness in unpredictability?
• Reliability vs. unpredictability
• Company responsibility vs. user responsibility
• Are humans responsible enough?
• Safety vs. speed to market

and more!

Click play to hear a great conversation between Harish and Gabriel!

You can learn more about Harish here.

P.S. Don't forget to leave a review and subscribe to Merging Minds Podcast powered by Bureau Works for more thought-provoking podcast episodes.

Listen on Apple Podcasts, Spotify, YouTube, and wherever else podcasts are found!

Podcast powered by Bureau Works, a cloud localization platform that makes complex translation tasks simple and predictable.

www.bureauworks.com

Follow us on YouTube and X @bureau_works for more and don't miss the latest live sessions and offers on LinkedIn:

www.linkedin.com/company/bureau-works/