Infosys, a leading global company in digital services and consulting, has introduced an open-source Responsible artificial intelligence (AI) Toolkit, a key component of the Infosys Topaz Responsible AI Suite, to help businesses use AI in a safe and ethical way.
This Responsible AI Toolkit is built on the Infosys AI3S framework (Scan, Shield, and Steer). It offers tools and features to help companies prevent various issues, such as privacy violations, security threats, and biased results from AI systems. It aims to make AI outputs more understandable by clarifying the reasoning behind them, all while ensuring that performance and user experience remain high.
The Infosys open-source toolkit offers flexibility and it is customizable, compatible with diverse models and agentic AI systems, and integrates seamlessly across cloud and on-premise environments.
Balakrishna D. R. (Bali), Executive Vice President, Global Services Head, AI and Industry Verticals, Infosys, said, “As AI becomes central to driving enterprise growth, its ethical adoption is no longer optional. The Infosys Responsible AI Toolkit ensures that businesses remain resilient and trustworthy while navigating the AI revolution. By making the toolkit open source, we are fostering a collaborative ecosystem that addresses the complex challenges of AI bias, opacity, and security. It’s a testament to our commitment to making AI safe, reliable, and ethical for all.”
Also Read: Infosys and Siemens AG Join Forces to Enhance Digital Learning through Generative AISunil Abraham, Public Policy Director – Data Economy and Emerging Tech, Meta, said, “We congratulate Infosys on launching an openly available Responsible AI Toolkit, which will contribute to advancing safe and responsible AI through open innovation. Open-source code and open datasets is essential to empower a broad spectrum of AI innovators, builders, and adopters with the information and tools needed to harness the advancements in ways that prioritize safety, diversity, economic opportunity and benefits to all.”
