- The rise of AI and "machine learning" may be the key to hiring and teaching better future managers, VentureBeat reports.
- A human touch is an important part of leadership, but data-driven tech can help remove certain aspects of bias from the performance review, VentureBeat notes. Bias-free feedback and performance evaluations are, after all, more likely to lead to actual work improvements and increased retention.
- As of now, 55% of organizations say they are "weak" at using data to improve their workforce performance.
The impact of data in the space is still an area being explored. More HR tech programs include bias reduction as a main focus — though all practitioners should be wary that human-developed algorithms could still hold human-enabled biases.
Interestingly, bias is usually discussed as part of the recruiting aspect of employee retention, not during the actual time an employee works at a company. But any biases that exist at the recruiting level can still exist once a person becomes an employee, creating issues throughout the employee lifecycle. Limiting bias during performance evaluation is one way to improve fairness overall.