In a groundbreaking episode of “The Joy of Why” podcast, mathematician and statistician Emmanuel Candès discusses the impact of artificial intelligence (AI) on prediction science. Candès explains how AI models, often referred to as “black boxes,” can make successful predictions without fully understanding the underlying mechanisms. He also highlights the importance of quantifying uncertainty in AI predictions, which is crucial for making reliable decisions.
Forecast for 6 months: AI-powered prediction models will become increasingly prevalent in various industries, including healthcare, finance, and education, leading to improved accuracy and efficiency in decision-making.
Forecast for 1 year: The development of new AI algorithms and techniques will enable the creation of more sophisticated prediction models, leading to breakthroughs in fields such as drug discovery and climate modeling.
Forecast for 5 years: AI will become an integral part of everyday life, with applications in areas such as personalized medicine, smart cities, and autonomous vehicles, leading to significant improvements in quality of life and economic growth.
Forecast for 10 years: The integration of AI and machine learning will lead to the creation of new industries and job opportunities, while also raising concerns about job displacement and the need for ongoing education and training.
