How Infosys & Linux Foundation are Advancing Responsible AI
As regulatory scrutiny of AI technologies grows, policymakers have expressed concerns about algorithmic bias and transparency.
Collaborating to face this challenge, Infosys has partnered with Linux Foundation Networking (LFN), an organisation that supports open source software development, to promote responsible AI adoption across global networks.
Together, the companies aim to establish ethical standards while accelerating domain-specific AI implementation in networking technologies – an area where AI deployment has lagged behind consumer applications despite its potential to transform infrastructure management.
As part of this collaboration, Infosys has contributed two key components from its Topaz AI portfolio to open source networking projects – including its Responsible AI Toolkit and an AI application development framework.
Infosys’s Responsible AI Toolkit and AI application development framework
The Responsible AI Toolkit has been integrated into a new project called Salus.
This toolkit provides technical safeguards designed to identify and reduce AI risks such as bias, privacy violations and harmful content generation.
It also works to improve model transparency, which refers to the ability to understand how AI systems make decisions.
The second contribution supports a project named Essedum, which incorporates Infosys' AI application development framework.
This framework aims to streamline the integration of AI data, models and applications within networking environments.
Linux Foundation and Infosys Topaz targeting network innovation
The Linux Foundation will oversee the projects through its networking division – as these initiatives form part of a broader strategy to create unified frameworks for AI implementation in network technologies.
Arpit Joshipura, General Manager for Networking, Edge and IoT at the Linux Foundation, says: “Our efforts to further domain-specific AI are coming to fruition with the addition of these new projects and we are incredibly grateful to Infosys for their contributions.
“Creating combined, open and unified frameworks will only accelerate AI-driven innovation. By introducing accessible solutions for Responsible AI and integrating data sharing, domain-specific AI tools and application development under one roof, we are enabling the industry to build smarter, more efficient networks,” he adds.
Infosys and LFN: Addressing growing industry need for ethical AI
Infosys Topaz, the AI suite, encompasses a range of AI technologies and services designed for enterprise applications – and the contributed components will now be available to the wider networking community through the Linux Foundation's open source model.
This suite comes as network operators face increasing pressure to implement AI solutions that can manage growing complexity while maintaining security and reliability – and this is where open source frameworks come in, providing a foundation for standardisation across the industry.
Mohammed Rafee Tarafdar, Chief Technology Officer at Infosys says: “At Infosys, we are deeply committed to advancing innovation that solves complex challenges while upholding transparency, fairness and trust.
“Our collaboration with the Linux Foundation is a testament to our shared vision of embedding Responsible AI principles into actionable solutions.”
He adds: “Linux Foundation's efforts in driving excellence in open-source networking projects have been remarkable.
“With our strong AI capabilities, powered by Infosys Topaz, we actively support this endeavor, helping organisations harness domain-specific AI responsibly and effectively across global networks.”
Arpit concludes: "By introducing accessible solutions for Responsible AI and integrating data sharing, domain-specific AI tools, and application development under one roof, we are enabling the industry to build smarter, more efficient networks.”
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