Indian IT companies are spearheading the adoption of responsible AI solutions, aiming to strike a balance between innovation and ethical considerations in maximizing returns on investments. This move comes in response to the critical need for responsible AI, particularly when AI models produce inaccurate outcomes.Infosys unveiled its responsible AI suite, an integral component of Infosys Topaz, a comprehensive AI-centric suite of services, solutions, and platforms powered by generative AI.

According to the Infosys generative AI radar, enterprises globally are grappling with data privacy, security, ethics, and bias as key obstacles in their AI innovation endeavors. Phil Fersht, CEO and chief analyst at HFS Research, emphasized the significance of offerings like Infosys Topaz’s responsible AI suite in overcoming challenges hindering scaled AI value realization for enterprises.In a similar vein, Coforge launched its “Quasar responsible AI solution” in December, addressing biases in datasets and models, identifying risks and compliance issues, and providing governance, mitigation, and remediation tools.

Additionally, Sonata Software introduced Harmoni.AI last year, positioning it as a responsible-first AI solution for enterprise-scale deployment, underpinned by generative AI. These initiatives underscore a proactive approach towards ensuring ethics, trust, privacy, security, and compliance in AI deployments. As Akhilesh Tuteja, partner at KPMG in India, highlights, responsible AI hinges on principles of transparency, accountability, accuracy, and explainability, necessitating robust data governance frameworks to mitigate risks of erroneous outcomes.