A company develops an AI hiring tool to screen job applicants.
Later, it’s discovered that the algorithm systematically favors candidates from certain backgrounds, unfairly disadvantaging others.
The company can either:
- Continue using the tool to save time and money but perpetuate bias, or
- Scrap the tool, start from scratch, and invest heavily in fixing fairness — delaying hiring and increasing costs.
