As part of Positive AI’s ongoing effort to highlight the leaders shaping responsible artificial intelligence in Europe, we are proud to feature Isaac Look, Head of Data Governance & Quality at Malakoff Humanis and core member of the Positive AI steering team.

His vision is clear: there is no responsible AI without responsible data.

Turning Data into a Strategic, Living Asset at Malakoff Humanis

For Isaac Look, data is far more than a technical component. At Malakoff Humanis, it is considered a strategic, shared, and living asset—one that must remain trustworthy, useful, and aligned with ethical and regulatory expectations.

As Head of Data Governance & Quality, Isaac’s mission is to ensure that this asset is:
Controlled and reliable, across its entire lifecycle;
Structured through tailored governance, adapted to major domains such as AI, analytics, and referential data;
Supported by a strong data community that speaks the language of the business;
Easily discoverable and shareable, thanks to cataloging tools and unified asset management;
Designed responsibly from the start, integrating regulatory and ethical requirements by default.

“Data governance isn’t bureaucracy—it’s what ensures that our data remains a trusted asset for everyone. Without strong foundations, no AI system can be meaningful, ethical, or reliable.” — Isaac Look

A Driving Force Behind Positive AI’s Collective Impact

These same convictions are what Isaac brings to Positive AI, the do-tank co-founded by Malakoff Humanis, Orange, L’Oréal, the Boston Consulting Group (BCG), and now joined by more than thirty member companies.

Within the core team, Isaac contributes actively to:

building a practical, operational framework for responsible AI;
defining concrete governance and quality requirements for future products and certifications;
developing tools and methods that help organisations move from principles to action;
fostering collaboration between major companies such as Carrefour, Converteo, La Poste Groupe, Salesforce, Sodexo and many others.

This collective effort is central to Positive AI’s mission: transforming shared convictions into industry-wide impact.

“Our strength at Positive AI is our ability to build together—step by step, with concrete tools—to make responsible AI usable and actionable for every organisation.”

Practical Guidance for Organizations Building Responsible AI

In his recent interview with DataScientest.com, conducted by Aurélia Fellous, Isaac emphasized that responsible AI is above all a journey, not a one-time achievement. He encourages companies to adopt practical, incremental steps:

1. Map existing AI systems to understand their purpose, risks, and maturity.

2. Raise awareness across all teams, not just technical ones. Responsible AI is everyone’s responsibility.

3. Integrate ethics “by design” from the earliest project phases.

4. Automate documentation and monitoring, to make governance scalable.

5. Embed training into employees’ daily work, turning learning into action.

These recommendations reflect his philosophy: responsible AI cannot be decreed—it must be built, measured, and shared.

A Vision for an Ethical, Transparent, and Human-Centered AI

Through his roles at Malakoff Humanis and Positive AI, Isaac advocates for an AI ecosystem where:

Data is governed rigorously yet pragmatically,
Innovation and ethics reinforce one another,
Organisations build step by step,
And collective intelligence drives lasting impact.
Isaac Look’s leadership illustrates the ambition of Positive AI: ensuring that Europe becomes a global model for transparent, trustworthy, and human-centered AI.

Isaac Look: Building Trustworthy AI Through Strong Data Foundations

As part of Positive AI’s ongoing effort to highlight the leaders shaping responsible artificial intelligence in Europe, we are proud to feature Isaac Look, Head of Data Governance & Quality at Malakoff Humanis and core member of the Positive AI steering team.

His vision is clear: there is no responsible AI without responsible data.

Turning Data into a Strategic, Living Asset at Malakoff Humanis

For Isaac Look, data is far more than a technical component. At Malakoff Humanis, it is considered a strategic, shared, and living asset—one that must remain trustworthy, useful, and aligned with ethical and regulatory expectations.

As Head of Data Governance & Quality, Isaac’s mission is to ensure that this asset is:

Controlled and reliable, across its entire lifecycle;

Structured through tailored governance, adapted to major domains such as AI, analytics, and referential data;

Supported by a strong data community that speaks the language of the business;

Easily discoverable and shareable, thanks to cataloging tools and unified asset management;

Designed responsibly from the start, integrating regulatory and ethical requirements by default.

“Data governance isn’t bureaucracy—it’s what ensures that our data remains a trusted asset for everyone. Without strong foundations, no AI system can be meaningful, ethical, or reliable.” — Isaac Look

A Driving Force Behind Positive AI’s Collective Impact

These same convictions are what Isaac brings to Positive AI, the do-tank co-founded by Malakoff Humanis, Orange, L’Oréal, the Boston Consulting Group (BCG), and now joined by more than thirty member companies.

Within the core team, Isaac contributes actively to:

building a practical, operational framework for responsible AI;

defining concrete governance and quality requirements for future products and certifications;

developing tools and methods that help organisations move from principles to action;

fostering collaboration between major companies such as Carrefour, Converteo, La Poste Groupe, Salesforce, Sodexo and many others.

This collective effort is central to Positive AI’s mission: transforming shared convictions into industry-wide impact.

“Our strength at Positive AI is our ability to build together—step by step, with concrete tools—to make responsible AI usable and actionable for every organisation.”

Practical Guidance for Organizations Building Responsible AI

In his recent interview with DataScientest.com, conducted by Aurélia Fellous, Isaac emphasized that responsible AI is above all a journey, not a one-time achievement. He encourages companies to adopt practical, incremental steps:

1. Map existing AI systems to understand their purpose, risks, and maturity.

2. Raise awareness across all teams, not just technical ones. Responsible AI is everyone’s responsibility.

3. Integrate ethics “by design” from the earliest project phases.

4. Automate documentation and monitoring, to make governance scalable.

5. Embed training into employees’ daily work, turning learning into action.

These recommendations reflect his philosophy: responsible AI cannot be decreed—it must be built, measured, and shared.

A Vision for an Ethical, Transparent, and Human-Centered AI

Through his roles at Malakoff Humanis and Positive AI, Isaac advocates for an AI ecosystem where:

Data is governed rigorously yet pragmatically,

Innovation and ethics reinforce one another,

Organisations build step by step,

And collective intelligence drives lasting impact.

Isaac Look’s leadership illustrates the ambition of Positive AI: ensuring that Europe becomes a global model for transparent, trustworthy, and human-centered AI.

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