MLOps.community

Building Trust Through Technology: Responsible AI in Practice // Allegra Guinan // #298


Listen Later

Building Trust Through Technology: Responsible AI in Practice // MLOps Podcast #298 with Allegra Guinan, Co-founder of Lumiera.


Join the Community: https://go.mlops.community/YTJoinIn

Get the newsletter: https://go.mlops.community/YTNewsletter


// Abstract

Allegra joins the podcast to discuss how Responsible AI (RAI) extends beyond traditional pillars like transparency and privacy. While these foundational elements are crucial, true RAI success requires deeply embedding responsible practices into organizational culture and decision-making processes. Drawing from Lumiera's comprehensive approach, Allegra shares how organizations can move from checkbox compliance to genuine RAI integration that drives innovation and sustainable AI adoption.


// Bio

Allegra is a technical leader with a background in managing data and enterprise engineering portfolios. Having built her career bridging technical teams and business stakeholders, she's seen the ins and outs of how decisions are made across organizations. She combines her understanding of data value chains, passion for responsible technology, and practical experience guiding teams through complex implementations into her role as co-founder and CTO of Lumiera.


// Related Links

Website: https://www.lumiera.ai/

Weekly newsletter: https://lumiera.beehiiv.com/


~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

Join our Slack community [https://go.mlops.community/slack]

Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]

Sign up for the next meetup: [https://go.mlops.community/register]

MLOps Swag/Merch: [https://shop.mlops.community/]


Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Allegra on LinkedIn: /allegraguinan


Timestamps:

[00:00] Allegra's preferred coffee

[00:14] Takeaways

[01:11] Responsible AI principles

[03:13] Shades of Transparency

[07:56] Effective questioning for clarity

[11:17] Managing stakeholder input effectively

[14:06] Business to Tech Translation

[19:30] Responsible AI challenges

[23:59] Successful plan vs Retroactive responsibility

[28:38] AI product robustness explained

[30:44] AI transparency vs Engagement

[34:10] Efficient interaction preferences

[37:57] Preserving human essence

[39:51] Conflict and growth in life

[46:02] Subscribe to Allegra's Weekly Newsletter!

...more
View all episodesView all episodes
Download on the App Store

MLOps.communityBy Demetrios

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

21 ratings


More shows like MLOps.community

View all
Data Skeptic by Kyle Polich

Data Skeptic

478 Listeners

a16z Podcast by Andreessen Horowitz

a16z Podcast

1,087 Listeners

Software Engineering Daily by Software Engineering Daily

Software Engineering Daily

623 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

301 Listeners

NVIDIA AI Podcast by NVIDIA

NVIDIA AI Podcast

342 Listeners

Data Engineering Podcast by Tobias Macey

Data Engineering Podcast

146 Listeners

Practical AI by Practical AI LLC

Practical AI

211 Listeners

Last Week in AI by Skynet Today

Last Week in AI

302 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

89 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

131 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

96 Listeners

This Day in AI Podcast by Michael Sharkey, Chris Sharkey

This Day in AI Podcast

209 Listeners

The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief: Artificial Intelligence News and Analysis

556 Listeners

AI + a16z by a16z

AI + a16z

33 Listeners

Training Data by Sequoia Capital

Training Data

41 Listeners