Automated Decision Making
Automated Decision Making refers to the use of computer algorithms and artificial intelligence to make decisions without human intervention. This process analyzes data and applies predefined rules to arrive at conclusions, such as approving a loan, recommending a product, or determining eligibility for services. While it can increase efficiency and consistency, concerns arise regarding fairness, transparency, and accountability, as decisions are influenced by the quality of data and algorithms used. Understanding how these systems work is crucial for recognizing their impact on everyday life and ensuring they are used responsibly.
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Automated Decision-Making refers to processes where computers or algorithms make decisions with little or no human intervention. This often occurs in areas like finance, hiring, and customer service, where data is analyzed quickly to identify patterns and make choices. For example, a bank might use automated systems to assess loan applications, determining eligibility based on credit scores and financial history. While this can increase efficiency, it also raises concerns about fairness and transparency, as decisions are driven by algorithms that may reflect existing biases or lack context.