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!

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www.bureauworks.com

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On this week's show, Javi welcomes a true heavy hitter in the world of localization. Chris Dell found his way into localization through writing, publishing, and translation, and he spent the last 15 years building Booking.com into a corporation of over 15,000 people.

Freshly "retired," Chris is reconnecting with old passions and starting new projects. In the episode, he and Javi discuss:

- Chris's experience at Booking.com

- Starting out by studying art

- Non-linear careers

- Curiosity driving your career

- Over empathizing" as a new manager

- Giving space and giving support as a leader

- Building relationships with international teams

- The emotional toll of letting employees go

- Vulnerability in leadership

- Good bosses vs. bad bosses

- Top down culture and crowd-sourced values

- Cultivating Ownership

- Investing in machine translation since 2016

- The value of not burning employees out

- Making time for what matters

- Recognizing our autonomy

- Re-learning to read

- Coaching

- Writing about prophecies and omens

and more!

Click play to hear a great conversation between Chris and Javi!

You can learn more about Chris here: https://www.linkedin.com/in/chris-dell-69597550/

And feel free to reach out! He welcomes LinkedIn messages.

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/

Can AI translate better than humans? Can I trust AI? Is my data safe?

Christopher Penn, co-founder of truthinsights.ai, answers all of these questions and more on this week's episode of Merging Minds. Gabriel and Chris discuss what is real vs. what is hype in terms of security, AI adoption, LLMs, and the changing landscape of knowledge work in the age of AI.

They discuss:

• LLAMA 3.1: Blowing the doors open on mass adoption
• Hype vs. actual usage
• Informal adoption vs. institutional adoption
• Internalized infrastructure vs. Cloud infrastructure
• The security of local files vs. cloud-based files
• Hybrid approach to data security
• Technological evolution
• Prompting LLMs for better translations
• Humans are still the best translators
• LLMs as "second opinions" for translators
• Sparsity and Risk in translation
• The emergent properties of language
• Language technology influencing the nature of reason
• Language is a symbolic compression
• "We and our machines are more similar than we think"
• Culture begets language- How can technology reflect this?
• Linguistic curators
• Reconstructing the Algonquin language with AI
• Coding in natural language for translators
• Translators are like farmers
• The supply chain of translation after automation

And more!

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

You can learn more about Christopher Penn here, and trustinsights.ai 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 here 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/