Kuljeet Kaur

Title of the Talk

From Automation to Augmentation: Human–AI Collaboration and Decision-Making in 2026

Abstract

In 2026, the role of artificial intelligence is shifting from automation to augmentation, where AI systems support rather than replace human decision-making. This transition emphasizes collaborative intelligence, combining AI’s strength in data analysis and prediction with human judgment, ethics, and contextual understanding. Across sectors such as business, healthcare, and governance, human–AI systems are improving decision quality, efficiency, and adaptability. However, challenges such as trust, accountability, and overreliance on AI remain critical. Overall, human–AI collaboration represents a move toward augmented decision-making, where humans and machines work together to achieve more informed and balanced outcomes.

Keywords: Data Center, System Behavior Modeling, Anomaly Detection, Temporal Sequence Analysis, Decision Intelligence, Explainable AI.

Brief Profile

Junior Software Engineer with hands-on experience in HTML, CSS, JavaScript, and Python. Skilled in building responsive web applications and enhancing user experience. Also working as a researcher in Artificial Intelligence and Machine Learning, with an interest in AI-driven technologies and innovation. Adept at problem-solving, team collaboration, and delivering results in dynamic environments.