Artificial intelligence is capable of extraordinary progress: accelerating innovation, improving productivity, and helping address some of the world’s most complex challenges. However, its power demands honesty about risk. AI systems can amplify bias, undermine trust, and expose organisations and individuals to legal, security, and societal harm if they are not governed responsib

This is why Responsible AI, supported by a clear Responsible AI framework, is not optional. It is foundational to sustainable innovation, long‑term value creation, and public trust. We lead from the front by embedding responsibility, accountability, and transparency into every stage of AI design, AI data processing, deployment, and use.

We are also early adopters of the EU AI Act and actively align our practices with emerging global regulatory frameworks, helping to shape and operationalise Responsible AI at scale.

How We Operationalise Responsible AI

Responsible AI must move beyond principles into practice. We have built a mature and comprehensive Responsible AI framework that ensures responsibility is embedded by design, not retrofitted after deployment. This framework also forms the foundation for delivering Responsible AI solutions across industries.

Our approach includes:

  • Robust AI governance and oversight anchored in clear accountability and cross‑functional leadership
  • Structured use‑case assessments to evaluate risks, impacts, and benefits before development
  • Privacy, safety, resilience, and legal protection by design integrated into architectures, workflows, and data processing pipelines
  • Continuous monitoring, testing, and validation throughout the AI lifecycle
  • Ongoing investment in privacy‑enhancing technologies, AI safety research, and continuous learning
  • A strong framework for AI agents ensuring autonomy, control, traceability, and human oversight

This ensures our AI systems remain trustworthy, compliant, and resilient as technologies, regulations, and risks evolve.

What This Means for Our Clients

Responsible AI is a shared journey. Our AI governance team partners closely with client‑facing and solution teams to ensure every tool, system, and project embeds privacy, safety, and legal protection from the outset.

We support clients by:

  • Translating regulatory and ethical requirements into practical, deployable Responsible AI solutions
  • Embedding governance, risk management, and compliance into real‑world AI programs
  • Enabling safe innovation across sectors and jurisdictions
  • Helping organisations navigate complex regulatory environments with clarity and confidence

We work transparently and constructively with our clients to help them innovate securely while meeting their legal, ethical, and societal responsibilities.

Our Responsible AI Charter

Our Responsible AI Charter is built around four interdependent dimensions that guide every decision and implementation.

1. Individual Dimension

AI must protect and enhance human dignity. We ensure that AI systems respect privacy, safeguard personal data, and avoid discrimination based on identity, language, or background. Transparency ensures that people understand how AI systems work, how data is used, and how decisions are made.

Our commitments include:

  • Privacy and security by design supported by privacy‑enhancing technologies
  • Fairness in processing and outcomes through robust testing
  • Responsible data processing with equity incorporated into dataset preparation
  • Strong protection of copyrighted and proprietary information
  • Promotion of informed and responsible AI usage

2. Social Dimension

AI should strengthen society and the values that support it. We prioritise solutions that deliver societal benefit and build trust while mitigating harm.

Our commitments include:

  • AI impact assessments centred on individuals and communities
  • Advancing AI for Good to address social and global challenges
  • Transparent practices that build public understanding of data and systems
  • Measures to counter misinformation, disinformation, and misuse of synthetic content
  • Engagement on workforce and economic implications

3. Technical Dimension

AI must be robust, safe, and secure. Technical rigour is inseparable from responsible practice.

Our commitments include:

  • Security by design across all AI systems
  • Protection against threats to privacy, integrity, and fairness
  • Strong governance and lifecycle management
  • Compliance with global laws and readiness for emerging regulations

4. Environmental Dimension

AI should be developed and deployed with environmental awareness. As compute demands grow, responsible resource use becomes essential.

Our commitments include:

  • Leveraging cloud computing for improved energy efficiency
  • Data minimisation and intelligent processing to reduce environmental impact
  • Increased use of synthetic data to limit unnecessary extraction
  • AI solutions that support climate and environmental goals

Leading Responsibly in an AI‑First World

Responsible AI enables innovation that is safe, transparent, and aligned with human and organisational values. It ensures that the systems we create remain trustworthy as they scale and evolve and that they contribute meaningfully to people, businesses, and society.

This same commitment drives Wipro Intelligence™, our unified suite of AI‑powered platforms, solutions, and transformative offerings that create an Intelligent Loop across data, decisions, and operations. Wipro Intelligence™ brings together advanced technology, responsible engineering, and global expertise to help enterprises scale AI with confidence and deliver measurable, sustainable impact in an AI‑first world.

Wipro’s Policy

Responsible Use and Development of Generative AI

Responsible Use and Development of Generative AI

What we Think

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Building Trust in AI: The Imperative of Responsible and Agentic AI

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