9th-11th September 2026
University of Exeter, UK
Shape the Future of Superintelligence, AI and Society
Registration is open - Early bird for 99£!
Shape the Future of Superintelligence, AI and Society
Dr. Tatiana Shavrina
Advancing Scientific Research with AI Research Agents
Abstract: AI research agents are rapidly transforming scientific discovery by automating complex research workflows. This talk surveys recent advances in frontier agentic systems, LLM-based research assistants, and evaluation benchmarks. We will examine agent performance across the scientific lifecycle—from hypothesis generation to experimentation and refinement—and discuss the remaining challenges toward truly autonomous scientific discovery.
Bio: Tatiana Shavrina is the Research Scientist Manager at FAIR, Meta SuperIntelligence Labs, and a researcher specializing in large language models, AI Research Agents, and AI evaluation. She has been leading research on multilingual foundation models, AI agents, and benchmark design, with over 100 publications spanning NLP, machine learning, and AI safety.
linkedin.com/in/tatiana-shavrina
Irving J., Good defines Superintelligence in 1965 as: "Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever." The recent developments in Neural Networks with Transformers and Large Language Models are showing us glimpses of what Superintelligence is capable of, affecting every field of knowledge and research. It is essential to prepare as well as understand the foundations of such machines. The topic of Superintelligence is interdisciplinary in nature.
What is Superintelligence? Metrics, tests, levels and evaluations
How to solve AGI?
Theoretical foundations of Superintelligence
Ethical, social and societal questions of AI
AI Alignment
Vibe coding
Consciousness and AI
Brain-computer interfaces
Cognitive science and AI reasoning
Neural Network architectures, Transformers and Large Language Models.