Forecasting as a New Frontier of Intelligence

Forecasting has a rich literature in machine learning (ML), ranging from classical time-series analysis, to significant recent interest from both ML theory (e.g., forecasting and calibration) and applied ML research (e.g., benchmarking and advancing forecasting capabilities of foundation models). Despite its deep roots and recent trends in ML research, a dedicated workshop to forecasting is still missing, to our best knowledge. Led by a diverse team of seasoned organizers and featuring a compelling lineup of confirmed invited speakers, this workshop will provide a platform for interdisciplinary dialogue on AI forecasting, and will bring together researchers from varied perspectives (theoretical vs applied) and application domains (tech, finance, policy making, etc.).