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#03: Translating Ethics: Trust, Compliance & the Culture of Responsibility
with Paula Cipierre, Responsible AI Expert & Strategist
In this episode of the in-between trust podcast, Eva Simone Lihotzky speaks with Paula Cipierre, one of the leading responsible AI strategists with a profound background in law, policy, and tech, about what it means to translate legal and ethical principles into organizational practice - and how trust must be built not just through systems, but through culture, clarity, and human connection.
Together, they explore:
Why trust needs control, not just promises
How to create a culture of compliance that doesn’t collapse into checkboxes
The tension between data governance and intelligent systems
What it takes to operationalize values across teams, languages, and sectors
Why interdisciplinary thinking and empathy are foundational leadership skills in the age of AI
With insight from law, humanities, and hands-on tech policy work, Paula brings a rare perspective to ethical AI - one rooted in systems and storytelling.
🔑 Takeaways
Trust in AI depends on both transparency and institutional reliability
Compliance isn’t the goal - culture is
Regulation can enable innovation if done with clarity
Data governance and bias mitigation start long before AI
AI literacy is critical to confident, responsible use
Responsibility requires interdisciplinary skill and local ownership
Leadership means acting with explainability, not just authority
People follow people - trust starts with example
🎙️ Quote Highlights
“Trust is good, but control is better.”
“We need a much more integrated approach.”
“Lead by example; people follow people.”
⏱️ Chapters
00:00 – From Humanities to Ethical AI
03:06 – Trust in Technology: The Role of Control
06:03 – Translating Ethics into Practice
09:01 – Compliance vs. Responsibility
11:45 – Cross-Sector Collaboration
14:39 – Regulation as a Tool for Innovation
17:43 – Data Governance in AI
20:42 – AI Literacy and Employee Empowerment
23:29 – Future Skills in AI Governance
26:48 – Sustainability and System Awareness
29:30 – Leading by Example
Links
https://www.linkedin.com/in/paula-kift/
https://www.linkedin.com/company/in-between-trust-podcast/
View all episodes
By Eva Simone Lihotzkywith Paula Cipierre, Responsible AI Expert & Strategist
In this episode of the in-between trust podcast, Eva Simone Lihotzky speaks with Paula Cipierre, one of the leading responsible AI strategists with a profound background in law, policy, and tech, about what it means to translate legal and ethical principles into organizational practice - and how trust must be built not just through systems, but through culture, clarity, and human connection.
Together, they explore:
Why trust needs control, not just promises
How to create a culture of compliance that doesn’t collapse into checkboxes
The tension between data governance and intelligent systems
What it takes to operationalize values across teams, languages, and sectors
Why interdisciplinary thinking and empathy are foundational leadership skills in the age of AI
With insight from law, humanities, and hands-on tech policy work, Paula brings a rare perspective to ethical AI - one rooted in systems and storytelling.
🔑 Takeaways
Trust in AI depends on both transparency and institutional reliability
Compliance isn’t the goal - culture is
Regulation can enable innovation if done with clarity
Data governance and bias mitigation start long before AI
AI literacy is critical to confident, responsible use
Responsibility requires interdisciplinary skill and local ownership
Leadership means acting with explainability, not just authority
People follow people - trust starts with example
🎙️ Quote Highlights
“Trust is good, but control is better.”
“We need a much more integrated approach.”
“Lead by example; people follow people.”
⏱️ Chapters
00:00 – From Humanities to Ethical AI
03:06 – Trust in Technology: The Role of Control
06:03 – Translating Ethics into Practice
09:01 – Compliance vs. Responsibility
11:45 – Cross-Sector Collaboration
14:39 – Regulation as a Tool for Innovation
17:43 – Data Governance in AI
20:42 – AI Literacy and Employee Empowerment
23:29 – Future Skills in AI Governance
26:48 – Sustainability and System Awareness
29:30 – Leading by Example
Links
https://www.linkedin.com/in/paula-kift/
https://www.linkedin.com/company/in-between-trust-podcast/