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Overview

As AI technologies advance, businesses must ensure that their AI systems are developed and deployed ethically and responsibly

To empower our clients in this area, HCLTech established the Office of Responsible AI and Governance (ORAIG), dedicated to guiding organizations through the complexities of AI governance, compliance and ethical deployment. ORAIG combines deep expertise in with a strong commitment to responsible practices to build AI systems that are not only effective but also ethical, transparent and compliant with global standards.

Our core values of Integrity, Inclusion, Value Creation, People Centricity and Social Responsibility serve as guiding principles for the actions we take and the capabilities we build. They provide a cornerstone for responsible adoption and deployment of AI and enable us to deliver value for our company, clients and communities.

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Our Responsible AI and Governance Framework

At HCLTech, we empower you to harness the full potential of AI, while safeguarding your brand and driving sustainable growth. When AI is developed, implemented, deployed and governed with responsibility at its core, organizations don't just mitigate risk, they unlock consumer trust, enable regulatory compliance and secure a lasting competitive advantage.

Our Responsible AI and Governance Framework integrates five core tenets to deliver sustainable value: Accountability, Fairness, Security, Privacy and Transparency. These tenets guide our development, deployment and use of AI while promoting the three hallmarks of good, responsibly developed AI solutions:

  • User centricity
  • Building user trust through experience
  • Drawing on human-AI partnerships
Governance Framework

Outcome-focused Solutions for Responsible AI

Our suite of Responsible AI solutions and services is designed to support your organization at each stage of your AI maturity and on every leg of your AI journey.

Our key offerings in this space include:

Maturity Assessment and Evaluation of Gaps

This offering helps assess the current maturity of AI systems, governance frameworks and ethical practices, identifying gaps and recommending improvements to help alignment with global best practices and regulatory requirements.

AI Management Systems Readiness

This offering is focused on preparing AI systems for scalability and ISO 42001 compliance alignment. This service also helps align AI models, governance frameworks and data management processes with business goals.

Technical Assessments and Red Teaming

This offering identifies vulnerabilities in AI systems through real-world and adversarial risk simulations and normal usage testing, enhancing safety and security and ensuring compliance with ethical standards.

Responsible AI Engineering & Sustainability Design

Focuses on developing AI products that are both high-performing and sustainable. It integrates ethical AI principles and sustainability practices to promote fairness, transparency, privacy, security and accountability while minimizing environmental impact.

AI Governance Policy Implementation for Responsible AI

This offering helps develop and implement AI governance frameworks, policies and compliance mechanisms that align with ethical standards and regulatory requirements, enabling responsible AI deployment across the organization.

Responsible User Adoption and Change Management

This offering drives AI adoption by focusing on seamless integration through effective change management. It emphasizes user-centric approaches, training and ongoing support to build trust and enable sustainable, long-term adoption.

Key Differentiating Factors

Why Responsible AI at HCLTech

Holistic approach and capabilities

We offer end-to-end Responsible AI services, guiding clients through their AI journeys, from strategy design to continuous optimization, meeting them at their maturity levels.

Skilled talent and industry expertise

With cross-industry experience and a team of recognized AI champions, we understand sector-specific challenges and deliver tailored solutions.

Aligned Responsible AI Practices

Seamless integration of internal policies and client work, enabling our team to directly apply internal insights and lessons learned to client AI programs and initiatives.

Proven strategic alliances and partnerships

Leveraging these relationships, we're a trusted provider of AI services and products, including integrated Responsible AI capabilities in .

Responsible and ethical by design

We embed responsible principles in every aspect of our AI solutions and services.

Demonstrated Commitment to Responsible AI

We balance AI innovation with trust and long-term value

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HCLTech-MIT Report on Responsible AI

An HCLTech and MIT Technology Review Insights report reveals that while 87% of business executives believe Responsible AI principles are critical to adopt, 85% say they are not well prepared to implement them.

The findings reveal that despite the recognized importance of Responsible AI, there is a significant gap between acknowledging its importance and effectively implementing it.

Challenges attributed to this gap include:

  • Complexity of implementation
  • Lack of expertise
  • Difficulty managing operational risks
  • Meeting regulatory compliance standards
  • Inadequate resource allocation
Download the full report

Interested to Learn More?

Reach out to us today.