BABL AI Consultant Co-Authors Article on Generative AI in PECB Magazine
BABL AI is proud to announce that Abhinav Mittal, a consultant and advisor at BABL AI, has co-authored an insightful article on generative AI with Preeti Shivpuri, Partner and Ethics and Trustworthy AI Leader at Deloitte, for the 46th edition of Canada’s PECB Magazine. The article, titled “Responsible AI: A Comprehensive Guide for Business Leaders in the Age of ChatGPT and Beyond,” explores the transformative impact of generative AI, highlighting both its potential and its challenges. It explains how these technologies can reshape service delivery, enhance creativity, and enable natural human-like interactions. The authors emphasize that while generative AI can boost innovation and productivity, it also introduces serious concerns that must be managed responsibly.
Exploring the Promise and Risks of Generative AI
Mittal and Shivpuri outline how advances in computing power, data availability, and machine learning algorithms have driven the rapid rise of generative AI. The article distinguishes between discriminative AI, which identifies and classifies data patterns, and generative AI, which creates new content such as text, code, and images. This distinction helps business leaders understand how each type of AI supports different operational goals. However, the authors caution that the same technologies can introduce bias, transparency issues, and cybersecurity risks if not managed carefully. They explain that generative AI systems often mirror human biases in their training data and can produce unpredictable or misleading outputs.
A Call for Responsible AI Practices
To address these challenges, the article advocates for a responsible AI approach grounded in ethics, accountability, and strong governance frameworks. It encourages organizations to implement transparency measures, conduct risk assessments, and establish clear oversight processes before deploying AI at scale. By following these principles, business leaders can adopt generative AI safely and effectively while maintaining public trust. The authors also highlight the importance of collaboration between industry, academia, and regulators to create consistent standards for AI governance.
You can read the full article HERE.
