Testing AI Agents
About Topic
As AI agents become more autonomous, rigorous testing and evaluation are essential to ensure reliability, safety, and alignment with human goals. With increasing automation, the need for structured evaluations, real-time feedback, and continuous monitoring grows stronger. Effective testing frameworks help identify failures, biases and unintended behaviors before deployment. By integrating robust evaluation systems, we can build trustworthy AI agents that operate safely and efficiently in dynamic environments.
Key Takeaways
1. Understanding production-level testing methods
2. Startups focussing on Agentic testing and open-source frameworks
3. Future of testing in Agentic AI world
About Speaker
Hitesh Hinduja is an ardent Artificial Intelligence(Al) and Data Platforms enthusiast currently working as Senior Manager in Applied AI Engineering at Microsoft. He worked as a Senior Manager in Al at Ola Electric, where he lead a team of 30+ people in the areas of machine learning, statistics, computer vision, deep learning, natural language processing, and reinforcement learning. He has filed 16+ patents in India, US and has numerous research publications under his name. Hitesh had been associated in Research roles at India’s top B-schools-Indian School of Business, Hyderabad, and the Indian Institute of Management, Ahmedabad. He is also actively involved in training and mentoring and has been invited as a Guest speaker by various corporates and associations across the globe Avid Learner and enjoys reading books in his free time.