The National Academies Forum on Neuroscience and Nervous System Disorders convened to investigate the interplay between artificial intelligence and neuroscience. The workshop aimed to explore how insights from brain science could enhance AI models and how AI could further our understanding of the brain. A diverse group of experts collaborated to emphasize the importance of integrating neuroscience into AI research and clinical applications.
The event highlighted the potential of AI in medical care, particularly in addressing brain disorders through digital interventions. Discussions included the use of conversational AI to support mental health and the need for guidelines to ensure patient safety. Establishing public trust and incorporating user feedback were identified as critical factors for the successful integration of AI in neuroscience.
• AI tools like ChatGPT and ClaudeAI are transforming neuroscience research.
• Integrating AI into clinical care can enhance patient support and treatment.
AI refers to computer systems designed to perform tasks that typically require human intelligence, such as understanding language and recognizing patterns.
Machine learning is a subset of AI that enables systems to learn from data and improve their performance over time without being explicitly programmed.
Conversational AI refers to technologies that enable machines to engage in human-like dialogue, which can assist in mental health support.
Cohen Veterans Bioscience focuses on advancing brain health research and is involved in developing AI applications for neuroscience.
The Salk Institute conducts research in biological sciences and contributes to understanding the brain's functions, which can inform AI development.
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