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Watch a thought-provoking lecture by Associate Professor Gianluca Demartini from the University of Queensland exploring the synergistic relationship between humans and large language models (LLMs) in information tasks. Delve into cutting-edge research examining how LLMs impact human decision-making, challenging the notion that AI should completely replace human involvement. Learn about active learning and machine learning fairness in the context of human data annotation for AI training. Explore practical examples of human-LLM collaboration through relevance judgments and examine experimental evidence from studies where human annotators worked alongside LLMs. Conclude with insights into LLM applications for personalized persuasive content generation. Drawing from his extensive experience as an ACM Senior Member and Distinguished Speaker, Demartini presents compelling evidence for why the future lies in the collaboration between human intelligence and artificial intelligence rather than the replacement of one by the other.