1. BEFORE reading the Digital-interactive NY Times article, think about this question:
Machine learning algorithms allow organizations to monitor, assess, and make decisions related to employee performance with greater accuracy and precision than ever before. What do you think organizations stand to gain or lose from implementing such tools to manage the performance of their employees? Write about a page focusing on what these tradeoffs might include.
2. Now, read the “the rise of the worker productivity scoreLinks to an external site."（https:
usiness/worker-productivity-tracking.html） article--note: the article is tracking your performance as you read!
3. After engaging with the interactive article, does anything about your perspective change? What sorts of feelings emerged for you as you read through the article and watched your score? Write about a page focusing on your reaction.
4. Reconsider and evaluate the nature of algorithmic-based performance management systems from one or two different philosophical lenses discussed earlier in the course. What would moral philosophers have to say about these technologies?
5. Finally, given what you've just learned about trust, goal-setting, and procedural justice in organizations, what might be some wise considerations, restrictions, or communication efforts for managers to deploy when using these kinds of technologies? Be specific and map back onto course content, please!
6. All challenge papers should be approximately 4-5 double-spaced pages in length. Please cite all references consistently (format of your choosing, as long as it is consistent).