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Maintaining the highest standards of integrity

At Cognizant, we are committed to shaping an AI-enabled future that upholds the highest ethical standards while driving transformative innovation. As artificial intelligence continues to revolutionize industries and societies, we recognize the need for robust principles and actionable frameworks to guide responsible development, deployment, and governance.

Our responsible AI principles

Our AI principles are designed to foster trust and respect for people and the environment throughout the entire AI lifecycle—from acquisition, design and development to use, monitoring and decommissioning of AI systems. These principles have been carefully crafted to uphold the standards set out in our Code of Ethics and to build upon the guidelines established in relevant legislation, best practices and frameworks.

Fair and inclusive


Our AI services are designed and delivered in ways that respect human rights, promote fairness and avoid discrimination.

Safe, secure and private

We provide comprehensive world-class security and risk-management capabilities to protect and enable our clients and our internal teams.

Transparent and explainable

We ensure transparency across the AI lifecycle, enabling users to interpret AI outputs and determine appropriate use.

Accountable


We promote clear processes, roles and responsibilities to ensure people are accountable for and in control of AI systems, with consistent monitoring by humans and AI.

Global alignment in responsible AI

Cognizant actively aligns with key global AI frameworks, ensuring our practices meet the highest standards. Our alignment with these frameworks positions us at the forefront of ethical, safe, and trustworthy AI governance—contributing to global discussions and thought leadership.

Upholding fairness, transparency, safety, and inclusivity in AI systems to promote societal benefit.

Safeguarding human rights and ensuring AI development aligns with ethical imperatives. Using the UNESCO Ethical AI Assessment to assess risks before AI systems are released to the public.

Complying with rigorous standards for AI safety, accountability, and sustainability.

Adopting secure, privacy-preserving measures in AI deployment.

Ensuring international compliance for quality, reliability, and trust in AI systems.

Responsible AI: A shared commitment

A more effective approach to AI governance

Traditional AI governance approaches are outdated and often ineffective. Our modern assurance solutions help you build trust in AI systems and free up time you can apply to setting thoughtful policy or managing current issues and unknown risks.

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Leadership

Amir Banifatemi

Chief Responsible AI Officer - AIA Platform

Babak Hodjat

CTO of AI

Neal Ramasamy

Global CIO

For a deeper dive into responsible AI & ethics...

Contact us if you’d like to learn more about how we build responsible AI principles into our services, or to speak with our experts about how we can help you prepare your enterprise for an AI-enabled future.

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