Infosys Launches Open-Source Toolkit for Ethical AI Practices

Infosys Open Sources Responsible AI Toolkit on its Topaz Suite

Infosys has taken a significant step towards ethical artificial intelligence (AI) by launching an open-source Responsible AI Toolkit as part of its Topaz Responsible AI Suite. This initiative reinforces the company’s commitment to fostering a secure, fair, and transparent AI ecosystem.

Purpose of the Toolkit

The primary aim of the toolkit is to assist businesses in addressing various AI-related risks. As AI technologies evolve, the need to adopt them ethically is becoming increasingly crucial. This toolkit is designed to help organizations navigate the complexities associated with AI, including bias, opacity, and security concerns.

Key Features

The toolkit is built upon Infosys’ AI3S framework, which stands for Scan, Shield, and Steer. It integrates advanced guardrails that include:

  • AI models to detect potential security threats
  • Shielding algorithms to mitigate privacy breaches and biased outputs
  • Measures to counter deepfakes and other risks

Furthermore, the toolkit enhances explainability by providing insights into AI-generated decisions without compromising performance. Its design emphasizes flexibility, making it customizable and compatible with a variety of AI systems. It also supports both cloud and on-premise deployments.

Industry Recognition

The launch of this toolkit has garnered significant attention from industry leaders. For instance, Joshua Bamford, head of Science, Technology and Innovation at the British High Commission, hailed it as a “benchmark for technological excellence.” He noted that this initiative empowers enterprises, startups, and SMEs to adopt AI responsibly.

Moreover, Sunil Abraham, Public Policy Director for Data Economy and Emerging Tech at Meta, emphasized the importance of open-source tools in ensuring AI safety, diversity, and economic opportunity.

Government Support

The Government of India also expressed its support for Infosys’ initiative. Abhishek Singh, Additional Secretary at MeitY, highlighted that open-sourcing the toolkit would help in mitigating bias in AI models while enhancing security, privacy, and fairness in AI-based solutions.

Commitment to Responsible AI

Infosys has been at the forefront of advancing Responsible AI initiatives. The company was one of the first to receive the ISO 42001:2023 certification for AI management systems. Additionally, Infosys is actively involved in global AI policy discussions through various organizations, including the NIST AI Safety Institute Consortium, WEF AIGA, AI Alliance, and Stanford HAI.

By making the Responsible AI Toolkit open source, Infosys is not only enhancing its commitment to ethical AI practices but also encouraging a collaborative ecosystem that addresses the complex challenges posed by AI.

More Insights

AI Regulations: Comparing the EU’s AI Act with Australia’s Approach

Global companies need to navigate the differing AI regulations in the European Union and Australia, with the EU's AI Act setting stringent requirements based on risk levels, while Australia adopts a...

Quebec’s New AI Guidelines for Higher Education

Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and...

AI Literacy: The Compliance Imperative for Businesses

As AI adoption accelerates, regulatory expectations are rising, particularly with the EU's AI Act, which mandates that all staff must be AI literate. This article emphasizes the importance of...

Germany’s Approach to Implementing the AI Act

Germany is moving forward with the implementation of the EU AI Act, designating the Federal Network Agency (BNetzA) as the central authority for monitoring compliance and promoting innovation. The...

Global Call for AI Safety Standards by 2026

World leaders and AI pioneers are calling on the United Nations to implement binding global safeguards for artificial intelligence by 2026. This initiative aims to address the growing concerns...

Governance in the Era of AI and Zero Trust

In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy...

AI Governance Shift: From Regulation to Technical Secretariat

The upcoming governance framework on artificial intelligence in India may introduce a "technical secretariat" to coordinate AI policies across government departments, moving away from the previous...

AI Safety as a Catalyst for Innovation in Global Majority Nations

The commentary discusses the tension between regulating AI for safety and promoting innovation, emphasizing that investments in AI safety and security can foster sustainable development in Global...

ASEAN’s AI Governance: Charting a Distinct Path

ASEAN's approach to AI governance is characterized by a consensus-driven, voluntary, and principles-based framework that allows member states to navigate their unique challenges and capacities...