Coforge unveils ‘Quasar’ responsible AI solution for enterprises

Digital services and solutions provider Coforge has launched the Quasar Responsible AI solution, a comprehensive tool ensuring ethical AI use with a focus on fairness, transparency, and regulatory compliance. 

The Quasar responsible AI addresses biases in datasets and models, identifies risks and compliance issues, and provides tools for governance, mitigation, and remediation. This solution aims to build trust among AI stakeholders, ensuring that AI enhances human capabilities without compromising rights or perpetuating societal inequities. 

Sudarshan Seshadri, SVP, Data & AI Business Unit, Coforge, highlighted that "Coforge is already empowering leading Fortune 1000 companies with personalized AI solutions through Coforge Quasar Cognitive AI, covering areas such as Machine Learning, Computer Vision, Natural Language Processing, Speech-to-Text/Text-to-Speech, and Knowledge Graphs. Recently, Coforge introduced Quasar Generative AI, enabling enterprises to create and deploy their own applications powered by Generative AI on a large scale." 

Bharathi Muniswamy, SVP, Digital Business Unit, Coforge emphasized that "The inclusion of this solution in Coforge's existing AI suite, comprising Quasar Cognitive and Generative AI, offers us a distinct advantage in the marketplace. Through early implementation and practical application, Coforge has proactively initiated the strategic utilization of Responsible AI. This positions us as a leader dedicated to transparently integrating AI across diverse aspects of our clients' operations, thereby reinforcing Coforge's standing as a frontrunner with a comprehensive and responsible AI offering." 

The company's solution includes Fairness AI for equity through bias detection, Explainable AI for transparency via data analysis, and Compliance AI for risk analysis and regulatory mitigation. 

Trust AI ensures a secure environment with data obfuscation, toxicity analysis, prompt optimization, and robust LLM governance. Governance AI features drift detection, adversarial detection, outlier analysis, and comprehensive monitoring. 

As organisations deploy generative AI tools, the ethical use of AI is crucial, prioritising transparency, accountability, fairness, and privacy. Despite AI's promises to revolutionise various aspects of our lives, its rapid advancement presents challenges. AI algorithms, trained on vast data, can perpetuate biases, leading to discriminatory outcomes. Security risks also rise as AI embeds deeply in critical systems, with potential for malicious exploitation. Striking a balance is imperative for a fair, transparent, and secure AI future.