With the advent of Gen AI, implementation of AI based solutions has rapidly increased to make humans more productive and deliver more business value. However, there is uncertainty on the behavior of Gen AI based solutions when deployed on Production, which may lead to ethical, social, security, and compliance issues. Inducing Responsible AI controls in the development of Gen AI based solutions will help to overcome these challenges.

TCS has decades of experience in the research and development of AI and Gen AI based technologies and solutions. Through this development service, we help enterprises to implement Responsible AI controls in Azure Open AI based solutions in an efficient and safe manner. Our Responsible AI approach enables to identify and implement comprehensive controls required to safely run Azure Open AI based solutions. The approach includes the core tenets of responsible AI: Security & Reliability, Accountability, Fairness & Ethical, Transparency & Explainability, and Identity & Privacy.

We have a robust implementation plan to deliver responsible AI, from conceptualization to operations. Discovery: The engagement starts with the discovery of enterprise readiness for Responsible AI delivery, understanding the use cases and Gen AI models used, identification of relevant Responsible AI requirements, and determination of the threats and risks involved. Key stakeholders from Business, IT, Security, Governance, and Legal will be involved to ensure all the respective concerns are taken into consideration.

Design: The responsible AI controls required for the environment are identified in this phase along with the framework, tools, and techniques to support the implementation. The metrics relevant to measure the performance of Gen AI models will be defined. Red teaming and testing approach will be planned.

Development: A quick pilot will be implemented to foolproof the Responsible AI design followed by development of Responsible AI controls. Test plans are executed to ensure Gen AI models aligned with business objectives and Responsible AI principles.

Deployment: The engagement ends with successful deployment to production, postproduction support, and handover to operations team. A roadmap will be provided for future enhancements.

Benefits: • Responsible AI Implementation aligned with industry standards and guidelines. • Flexible and tailored approach to incorporate applicable organization specific compliance needs. • Quicker rollout of Gen AI capabilities with adequate guardrails • Adoption of safer and trustworthy AI aligned with human values.

TCS Differentiation: • TCS Responsible AI guidelines • Thought leadership from dedicated Research in AI • Regulatory Compliance maps • Deep Contextual Industry expertise

About TCS: Tata Consultancy Services is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered, portfolio of business, technology and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.

A part of the Tata group, India’s largest multinational business group, TCS has over 608,000 of the world’s best trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS’ proactive stance on climate change and award- winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. For more information, www.tcs.com

References: Designing ethical and explainable AI for the benefit of humanity (tcs.com) https://www.tcs.com/what-we-do/services/cloud/microsoft

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