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Responsible AI

RESPONSIBLE AI AT COGNIZANT

Shaping the future of trusted AI

<h3><b>A strategic imperative for enterprise AI</b></h3> <h5>At Cognizant, we are committed to promoting ethical, safe and trustworthy AI aligned with our values and global standards. Through Cognizant TrustTM —our responsible AI (RAI) framework—we ensure AI systems are secure, reliable and scalable. We deliver lasting results through technical excellence and sustainable performance.</h5>

AI regulation and compliance

Stay ahead of evolving global AI laws with governance that reduces compliance risk and supports enterprise readiness.

Market trust and performance

Build trust and drive adoption with systems that are transparent, auditable and aligned with performance metrics.

Business growth and opportunity

Gain a competitive edge and build revenue streams by scaling responsible AI in high-demand markets.

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Overview

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<h3>Responsible AI services to drive enterprise impact</h3> <p>We help organizations translate responsible AI into tangible outcomes with a suite of services that embed trust, safety and accountability across the full AI lifecycle.</p>

RAI readiness and governance services

Establish foundational RAI strategy, provide continuous governance, ensure compliance through assessments, roadmaps and operating models aligned to global standards like ISO 42001 and NIST AI RMF.

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RAI implementation services

Deploy the controls, tools and frameworks needed to operationalize responsible AI, from system integration and automation to enterprise-wide monitoring setup.

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Monitoring and operational support

Ensure systems remain accountable post deployment with continuous monitoring, performance oversight, recourse pathways and incident response playbooks.

Lifecycle assurance and testing

Validate AI system safety, fairness and quality with robust testing for bias, performance, traceability and responsible system decommissioning.

Audit and regulatory alignment

Navigate the global regulatory landscape with expert support on audit readiness, documentation and implementation of frameworks that conform to evolving AI laws.

Trustworthy and sustainable AI strategy

Accelerate AI transformation by defining responsible growth roadmaps, aligning capabilities to sustainable principles and embedding trust into every stage of AI adoption.

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AI services

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<h3>Global alignment and continuous governance</h3>

<h5>We actively align with leading global AI standards and embed their principles into our lifecycle controls and governance practices. Our adaptive governance model provides continuous oversight and real-time assurance, so systems remain accountable, consistent and aligned as technologies and expectations evolve.</h5>

OECD AI principles

Cognizant’s responsible AI principles align with the OECD AI Principles by promoting fairness, transparency, safety, accountability and human-centric AI across the lifecycle.

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UNESCO ethical AI guidelines

Cognizant aligns its responsible AI practices with the UNESCO Recommendation on the Ethics of AI, and is assessing its adherence to the operational standards set out in the UNESCO Ethical AI Assessment to implement UNESCO ethical standards across the AI lifecycle.

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EU AI Act

Cognizant’s responsible AI practices support alignment with the EU AI Act through AI skill-building programs, compliance and risk assessment frameworks and operationalization of our responsible AI standards to achieve safe and reliable AI systems. Our participation in the EU AI Pact further underscores our commitment to advancing our readiness for upcoming regulatory obligations.

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NIST AI Risk Management Framework

Cognizant’s responsible AI standards align with the characteristics of trustworthy AI set out in NIST AI RMF by supporting responsible AI practices and helping teams identify and manage AI risks across the lifecycle.

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ISO AI standards

Cognizant maintains an enterprise AI management system aligned to ISO/IEC 42001:2023 and has achieved third-party certification for key delivery centers and service lines, demonstrating structured governance, risk management and controls for responsible AI.

Read ISO 42001

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Governance

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<h3><b>Our responsible AI standards</b></h3> <p>Cognizant’s standards promote trust, safety and respect across the AI lifecycle and ensure AI systems serve people and the planet. Grounded in our Code of Ethics, these standards are implemented through stage-appropriate controls, structured governance and ongoing improvement informed by risk assessments and stakeholder feedback.</p>

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Safe and reliable

We apply rigorous testing and monitoring to ensure our AI solutions perform as intended at any scale.

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Transparent and explainable

We invest in enhancing explainability, ensuring that our AI practices promote trust, openness, traceability and clear human decision-making.

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Human focused

We prioritize human needs at the core of development, ensuring our AI practices align with relevant laws to respect, empower and benefit people.

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Secure and privacy-enhanced

We take appropriate measures to safeguard personal information and protect AI systems from threats and vulnerabilities.

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Fair and inclusive

We design AI solutions that are fair, accessible and representative, striving for equitable outcomes.

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Accountable and auditable

We ensure appropriate human oversight and take responsibility for the outcomes and impacts of our AI solutions.

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Scalable and sustainable

We produce AI solutions that can grow and adapt over time, while also considering environmental and societal impacts.

Operationalizing standards through the trust framework

The Cognizant Trust™ framework provides a practical structure for turning our standards into real-world impact across the full AI lifecycle. From capability building to ongoing monitoring, it ensures AI systems are designed, deployed and managed in line with our standards, delivering outcomes that are safe, accountable and aligned with enterprise and societal goals.

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AI standards

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<h3>Driving positive impact through global partnerships </h3> <p>As a Strategic Partner of the <a href="https://www.weforum.org" target="_blank">World Economic Forum</a>, Cognizant helps lead global conversations on the responsible development of AI. We contribute to policy and governance efforts while supporting initiatives in sustainability, health, and digital equity — ensuring technology delivers value for people, business, and society.</p>

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Partnerships

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Expert insights that move responsible AI forward

<p>Actionable guidance to scale trust, navigate regulation and drive performance with responsible AI.</p>

ARTICLE

How AI leaders are keeping AI safe, ethical, & responsible

An interview with Amir Banifatemi on embedding ethical principles into long-term strategy.

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BLOG

AGI: Enough with the hype; let’s ask the important questions

Today’s horse-race coverage of artificial general intelligence fails to consider its implications.

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BLOG

Driving responsible AI in financial services

The rapid evolution of AI presents unprecedented opportunities and challenges, particularly within the financial services sector.

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BLOG

What the US executive order says about the future of AI

The US signals intent to join other world players with broad AI.

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REPORT

Navigating the complexities of gen AI with integrity

The World Economic Forum’s Briefing Paper Series includes guidance for the responsible development of GenAI.

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BLOG

4 ways to embed ethics into generative AI

Ethical AI is not a box-checking exercise. It requires a new mindset that balances.

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BLOG

To lead with AI, focus on people and governance

Here's how senior leaders can optimize AI for not just their organization.

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BLOG

Why the passing of the EU AI Act is such a big deal

Many believe that just as Europe established itself as a data protection leader with GDPR.

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BLOG

Responsible AI in focus: regulating the Life Sciences industry

AI has the potential to transform organizations, especially in the global Life Sciences sector.

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WHITE PAPER

The Presidio Recommendations on Responsible Generative AI

GenAI has the potential to transform industries, but responsible design and collaboration among stakeholders are crucial.

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Insights

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<h3>Research and innovation in responsible AI</h3> <p>The Cognizant AI Lab is dedicated to advancing the science behind responsible AI, developing new approaches that promote safe, transparent, and reliable AI systems across real-world applications.</p>

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Featured research & applications

<ul> <li><a href="https://nn.cs.utexas.edu/?qiu:neurips24" target="_blank">Semantic Density: Uncertainty Quantification for LLMs through Confidence Measurement in Semantic Space (2024)</a></li> <li><a href="https://a729-34-215-198-192.ngrok-free.app" target="_blank">Semantic Density demo</a></li> <li><a href="https://nn.cs.utexas.edu/?shahrzad:arxiv22" target="_blank">EVOTER: Evolution of Transparent Explainable Rule-sets (2024)</a></li> <li><a href="https://nn.cs.utexas.edu/?meyerson:neurips24" target="_blank">Unlocking the Potential of Global Human Expertise (2024)</a></li> </ul>

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Research

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<h3>Leadership</h3>

Amir Banifatemi

Chief Responsible AI Officer

Babak Hodjat

CTO of AI

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Leadership

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<h3>For a deeper dive into responsible AI & ethics...</h3> <p>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. </p>

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