We consider the gap between the promise and reality of artificial intelligence in human resource management and suggest how progress might be made. We identify four challenges in using data science techniques for HR tasks: 1) complexity of HR phenomena, 2) constraints imposed by small data sets,...

In the gig economy, workers gain scheduling flexibility but lose guarantees of paid workload. Since a schedule without work has no value to workers, the size and variance of workload within an observed schedule become key dimensions of precariousness. Using detailed work data on over ten...