Data Voyagers Podcast
Data Voyagers Podcast

#23 - The AI Constitution

02 March 2026 51:20 DataVoyagers

Listen to episode

About this episode

Artificial Intelligence feels powerful. Capable. Objective. It drafts our emails, ranks our candidates, flags our risks, recommends our actions. It moves quickly, scales effortlessly, and speaks with confident fluency. But what happens when intelligence spreads faster than responsibility? What if the real risk is not that AI makes mistakes, but that we never decided who owns those mistakes?

Presented by Qlik Partner Ambassador and Qlik MVP Igor Alcantara, and Qlik Partner Ambassador and Qlik Education Ambassador Angelika Klidas, this episode explores the six pillars of AI governance: safety, security, legal, ethics, performance, and sustainability. From bias and model drift to regulatory pressure and environmental cost, we examine why governing AI is not about slowing innovation, but about preserving trust. Because in the end, the question is not whether AI will shape decisions. The question is whether we are disciplined enough to govern the systems that shape them.

Subscribe to the Data Voyagers Podcast wherever you get your podcasts and share the show with friends and colleagues.

Visit our website: https://www.datavoyagers.net/
Learn more about our AI Training: https://www.datavoyagers.net/training

Links Mentioned

You can buy Angelika Klidas book at: https://www.amazon.com/Data-Literacy-Practice-decisions-intelligent/dp/1803246758

You can buy Igor's book at: https://a.co/d/7Wbo76E

Sponsorship
This episode is sponsored by IPC Global: https://ipc-global.com/

Credits:
Igor Alcantara: https://www.linkedin.com/in/igoralcantara/
Angelika Kildas: https://www.linkedin.com/in/angelikaklidas/ 

Peter Kwisthout: https://www.linkedin.com/in/pkwisthout/


Audio Editing: 
Leo Oliveira: https://www.instagram.com/leooliveirabass/

Image and Production:
Igor Alcantara: https://www.linkedin.com/in/igoralcantara/

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Data Voyagers Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.