AI Faces Potential Trust Crisis Without Regulations

AI Faces Potential Trust Crisis Without Regulations AI Faces Potential Trust Crisis Without Regulations

AI for Change Foundation founder Suvianna Grecu warns rushing AI deployments risks a “trust crisis.”

Grecu says fast AI rollout without strong governance means “automating harm at scale.” The issue: AI making critical life decisions—job hiring, credit, health, criminal justice—without enough bias testing or long-term impact checks.

For many orgs, ethics is still just policy papers, not real accountability. Grecu demands clear responsibility for AI outcomes to bridge the gap between intention and action.

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Her foundation pushes practical fixes: design checklists, mandatory risk reviews before launch, and mixed teams (legal, tech, policy) overseeing AI projects. Ethics should be standard business ops, not abstract ideals.

Grecu also calls for a dual approach to enforcement: governments set legal floors protecting human rights, while industry innovates safeguards and audits beyond compliance.

“It’s not either-or, it has to be both,”
Grecu said.
“Collaboration is the only sustainable route forward.”

She flags a growing danger: AI’s emotional manipulation of people. Since AI isn’t neutral, its goals reflect whoever programs it. Without embedding values like justice, dignity, and democracy, AI will default to efficiency and profit—eroding trust.

Grecu calls on Europe to lead by embedding transparency, inclusion, and fairness into AI design and deployment.

“If we want AI to serve humans (not just markets) we need to protect and embed European values like human rights, transparency, sustainability, inclusion and fairness at every layer: policy, design, and deployment,”
she added.
“Shaping it before it shapes us.”

Her foundation runs workshops and plays a key role at the upcoming AI & Big Data Expo Europe, aiming to build trust by keeping humanity front and center in AI’s future.

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