Algorithms utilize personal data that is collected pertaining to the situation, experience, or scenario they simulate. Data collection is crucial for machine learning and can introduce "bias" that could lead to "technological discrimination”. Nevertheless, algorithms cannot be held "guilty" as they are neither physical nor legal entities. The responsibility lies with individuals who make decisions regarding their use, implementation, and the resulting outcome.