The State of AI in 2021: Language models, healthcare, ethics, and AI agnosticism
Takeaways from an action-packed 2021 for AI: Healthcare is just getting started with its AI moment, bigger language models mean bigger complications, and there may now be a third pole for AGI.
AI is expanding in two key areas of human activity and market investment — health and language. Picking up the conversation from where we left off last week, we discussed AI applications and research in those areas with AI investors and authors of the State of AI 2021 report, Nathan Benaich and Ian Hogarth.
After releasing what probably was the most comprehensive report on the State of AI in 2020, Air Street Capital and RAAIS founder Nathan Benaich and AI angel investor and UCL IIPP visiting professor Ian Hogarth are back for more.
Last week, we discussed AI’s underpinning: Machine learning in production, MLOps, and data-centric AI. This week we elaborate on specific areas of applications, investment, and growth.
Last year, Benaich and Hogarth made the case that biology was experiencing its AI moment. This, they explained, reflects a huge inflection in published research that essentially tears out the old-school method of doing some kind of statistical analysis of biological experiments. The new method replaces statistical analysis with deep learning in most cases, and it yielded better results.