Black-box approaches often fail to generalize within the domain, but generalize well across domains. Neural Nets may teach you less about medicine than a PGM, but they’ll also get you good results in image recognition, transcription, etc.
This can lead to interesting principal-agent problems: an employee benefits more from learning something generalizable across businesses and industries, while employers will generally prefer the best domain-specific solution.
Black-box approaches often fail to generalize within the domain, but generalize well across domains. Neural Nets may teach you less about medicine than a PGM, but they’ll also get you good results in image recognition, transcription, etc.
This can lead to interesting principal-agent problems: an employee benefits more from learning something generalizable across businesses and industries, while employers will generally prefer the best domain-specific solution.