Examples of unethical AI design can be seen in the following examples:
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The gender-biased recruiting algorithm of Amazon: It was discovered that Amazon’s algorithm demonstrated a preference for male applicants over their female counterparts, indicating a gender bias in the hiring process.
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Facial recognition technology displaying accuracy issues for darker skin tones: Evidence suggests that facial recognition systems are less precise when identifying individuals with darker skin tones, which could lead to potential discrimination and harm.
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Algorithmic bias in mortgage lending practices: The introduction of automation within the mortgage sector has resulted in algorithmic bias. This can result in discrimination against minority borrowers, thus continuing inequalities within lending procedures.
These examples underline the necessity to address biases, discrimination, and unintended negative consequences within AI systems to guarantee their ethical design and application.
