Building Ethical AI Literacy in Next-Generation Test Automation Leaders
As AI-driven automation becomes the backbone of modern QA—from intelligent test generation and self-healing scripts to risk-based prioritization and autonomous agents—the need for ethical and responsible AI leadership in testing has become critical. While teams rapidly adopt AI tooling, the ethical dimension of how these systems operate, learn, and influence decision-making is often underdeveloped. This session reframes test automation through an ethical leadership lens, walking through the full software delivery lifecycle and identifying where AI-powered testing introduces new risks, responsibilities, and opportunities for quality leaders. This will include covering: test planning and prioritization, test design and generation, execution and analysis, continuous testing pipeline, and release decisioning. Through real-world examples, frameworks, and team-level adoption strategies, this session provides a practical roadmap for building ethical AI literacy inside QA organizations. Attendees will gain actionable tools to lead AI-enabled test automation initiatives with integrity—preparing teams not just to use AI, but to question, govern, and improve the intelligent systems increasingly shaping software quality.
Anand Chinnakannan is an AI and Data Science leader with 18+ years of experience delivering large-scale machine learning, analytics, and optimization solutions. He specializes in intelligent supply chain systems, agentic AI, and scalable data products. As a Staff Data Scientist at Walmart, Anand leads advanced forecasting, multimodal AI, and supply chain optimization initiatives across international markets. His work includes demand forecasting, inventory placement optimization, MFC analytics, and agentic AI frameworks that accelerate operational decision-making. Anand is also an active researcher and speaker in Generative AI, NLP, ethical AI, and AI-enabled supply chain optimization. He collaborates with universities, mentors startups, and contributes to industry discussions on AI governance and automation. He holds a Master’s degree from BITS Pilani and is pursuing an Executive MBA from Quantic. Driven by curiosity and a customer-centric mindset, Anand focuses on building AI systems that enhance efficiency and elevate end-to-end customer experiences.