ARTIFICIAL INTELLIGENCE (AI) IN SCIENCE. BIOLOGY
(Pavilion 7)
Artificial Intelligence (AI) is beginning to play an increasingly significant role in science. Over the next decade, nearly every aspect of this field could transform – from generating hypotheses and writing articles to scientific methods and experiment execution. Biology holds a special place in this evolution, as researchers now have powerful AI tools to analyze vast data sets and uncover patterns previously inaccessible. Machine learning, for instance, enables the processing of genomic sequences, molecular modeling, and the analysis of complex systems. The potential of AI is highlighted by the 2024 Nobel Prize awarded to the creators of the AlphaFold AI model, which predicts the 3D structure of proteins from known amino acid sequences. Participants in this discussion will explore what breakthroughs AI may bring to biology and what these advances could mean for humanity.
Questions for discussion
- In which areas of biology could AI potentially lead to groundbreaking scientific results?
- What AI tools do scientists currently need to improve research efficiency and speed?
- What limitations and challenges exist in integrating AI into biological research?
- What skills and knowledge should biologists develop to work effectively with AI technologies?
- Will AI eventually replace the biologist?
- What ethical issues arise from using AI in biomedical research?
- What is the role of an interdisciplinary approach (e.g., combining biology and informatics) in advancing AI technologies?
- What might a world transformed by AI-driven biology look like? Are there positive and negative examples of such transformations in science fiction?