Considerations For AI Use In Biomanufacturing - Bioprocess Online

Summary

The article discusses the integration of AI and ML in biopharma, emphasizing their potential to optimize biomanufacturing, enhance quality control, and predict outcomes. Experts like Deenadayalan Bakthavatsalam and Tinglong Dai stress the need for human oversight to ensure ethical decision-making, addressing existential AI risks and emphasizing the importance of quality data and workforce education. The content intersects with tags on cybernetics, computational neuroscience, and AI-related risks.