"In workforce training, biased AI can lead to unequal opportunities and lopsided feedback, unintentionally sidelining certain learners."
"If you feed a system data built on exclusion, you get... more exclusion."
AI is transforming Learning and Development (L&D) by creating efficiencies and enhancing training programs. However, it introduces significant challenges related to bias. The concept of "bias in, bias out" highlights that AI reflects the data and assumptions it is trained on. If historical data used in AI systems reveals bias, the outcomes can lead to unequal opportunities in workforce training. L&D leaders must be vigilant about potential biases in AI-driven tools to ensure equitable learning opportunities for all employees, thus promoting a more inclusive environment.
Read at eLearning Industry
Unable to calculate read time
Collection
[
|
...
]