
This episode discusses the impact of AI on workforce management, the assumptions made by algorithms, and the need for continuous evaluation and re-engineering of these systems.
The conversation highlights how AI schedulers can become detached from real-world conditions, leading to poor decision-making. The speaker emphasizes the importance of understanding the implications of these algorithms.
There is a focus on the necessity of a feedback loop in AI management systems, where outcomes are monitored and adjustments are made based on actual performance.
Overall, the episode stresses the balance between utilizing AI for efficiency and ensuring that human factors are considered in the decision-making process.
AI in workforce management needs constant evaluation to avoid poor decisions.

Bad decisions often stem from detached assumptions.How Can AI Be Used in Managing People? with Wharton Professor Matthew Bidwell
We can incorporate algorithms to manage people better.How Can AI Be Used in Managing People? with Wharton Professor Matthew Bidwell