Indian IT Firms Champion Responsible AI, Addressing Ethical Concerns and Boosting Business Value
Riding the wave of artificial intelligence (AI) adoption, Indian IT firms are taking a proactive stance by developing responsible AI solutions. These solutions aim to bridge the gap between innovation and ethical considerations, ultimately maximizing the return on investment for businesses embracing AI technology, says a report in Financial Express.
The impetus for responsible AI stems from the inherent unpredictability of traditional AI models, which often rely on probabilistic outcomes. Unlike traditional computing with deterministic models (same input, same output), AI systems can yield a wide range of possibilities in their predictions.
Akhilesh Tuteja, Partner and National Leader at KPMG India, is quoted in Financial Express as saying:, “One may not get the answer they are looking for. Therefore, ensuring the right parameters and accurate answers becomes crucial, especially for mission-critical systems.”
Recognizing this need, Indian IT giants are stepping up to the challenge. Infosys, a leading name in the industry, recently launched its “Infosys Topaz Responsible AI Suite.” This comprehensive suite empowers businesses to navigate the complexities of responsible AI development by addressing crucial aspects like data privacy, security, ethics, and potential biases.
Similarly, Coforge, another prominent IT player, unveiled its “Quasar responsible AI solution” last December. This solution tackles bias within datasets and models, identifies potential risks and compliance issues, and equips users with tools to manage and overcome these challenges.
Sonata Software, another key player, launched “Harmoni.AI” in 2023. This offering champions the principles of responsible AI by embedding ethics, privacy, and security into the design of its solutions. Additionally, Sonata helps enterprises leverage AI strategically by identifying the most relevant use cases aligned with their specific business needs within a well-defined governance framework.
The core principles of responsible AI, as outlined by Tuteja, encompass transparency, accountability, accuracy, and explainability. These aspects are paramount for building trust and ensuring reliable outcomes in AI systems.
By incorporating these principles into their offerings, Indian IT firms are fostering a responsible and ethical approach to AI development, fostering trust and confidence among businesses seeking to harness the power of this transformative technology.
This focus on responsible AI solutions signifies a significant shift in the Indian IT landscape. It demonstrates a commitment to not only driving innovation but also ensuring ethical and responsible implementation of AI, paving the way for a future where businesses can reap the benefits of AI technology while upholding ethical considerations and maximizing value, Financial Express reports.
