Indian IT companies are introducing Responsible AI solutions to help businesses balance innovation with ethical considerations and maximize returns on investments. Infosys recently launched its responsible AI suite as part of Infosys Topaz, an AI-focused set of services. According to Infosys, enterprises worldwide are facing challenges such as data privacy, security, ethics, and bias in their AI innovation efforts. Coforge also launched the “Quasar responsible AI solution” last December, which addresses biases in datasets and models, identifies risks and compliance issues, and provides tools for governance and mitigation. Sonata Software introduced Harmoni.AI, a responsible-first AI offering for enterprise scale, emphasizing a ‘responsible by design’ approach for ethics, trust, privacy, security, and compliance. Akhilesh Tuteja from KPMG in India highlighted the importance of responsible AI in dealing with the unpredictable nature of AI systems, which work on probabilistic models. Responsible AI focuses on transparency, accountability, accuracy, and explainability to ensure trustworthy outcomes. Indian IT companies are launching “Responsible AI” solutions to help businesses balance innovation with ethical considerations and maximize their return on investments. The need for Responsible AI arises when AI models make errors in their answers.Â
Last week, Infosys launched its Responsible AI suite, which is a part of Infosys Topaz, an AI-focused set of services and solutions. According to Infosys, enterprises worldwide are identifying data privacy, security, ethics, and bias as the primary challenges in their pursuit of innovation with AI.Â
Another IT firm, Coforge, launched its “Quasar Responsible AI solution” in December 2022. Coforge’s solution tackles biases in datasets and models, identifies potential risks and compliance issues, and provides tools to govern, mitigate, and remediate these challenges.
Similarly, Sonata Software launched Harmoni.AI – a responsible-first AI offering for enterprise scale, leveraging the power of generative AI. Sonata claims that its ‘responsible by design’ approach ensures uncompromising ethics, trust, privacy, security, and compliance.
According to Akhilesh Tuteja, a partner at KPMG in India, traditional computing always gives predictable answers, but AI works on probabilistic models, leading to a range of possible outcomes. Therefore, it’s crucial to ensure that AI used for mission-critical systems uses the right parameters and gives the right answers.
Responsible AI frameworks set the right boundaries by focusing on aspects like transparency, accountability, accuracy, and explainability – the ability of the system to explain its reasoning behind an answer.
To conclude, Indian IT firms are offering Responsible AI solutions to help enterprises address challenges like data privacy, security, ethics, and bias while using AI, ensuring responsible and trustworthy AI adoption.