The rise of AI Agents marks a turning point in how businesses approach productivity and automation. These agents can autonomously complete complex, multistep tasks, representing a leap forward from earlier AI tools focused on generating text or images. Now, AI Agents are engineered to analyze data or respond to inquiries and to actively perform tasks that typically demand human involvement.

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.