Passage for Questions 1-3 The rise of artificial intelligence (Al) is transforming industries across the globe. In healthcare, Al algorithms are being used to analyze medical images, predict patient outcomes, and assist in surgery. In the financial sector, Al powers fraud detection systems and automates trading strategies. However, this rapid advancement also raises ethical concerns, such as biases in decision-making algorithms and potential job displacement. Addressing these challenges requires collaboration between technologists, policymakers, and ethicists to ensure Al's benefits are equitably distributed. What ethical issue related to Al is mentioned in the passage? Limited availability of Al technologies. High costs of Al implementation. Biases in decision-making algorithms. Lack of interest in Al by policymakers.
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Biases in decision-making algorithms. This ethical concern arises from the fact that AI systems are often trained on historical data, which may reflect existing societal biases. If these biases are not addressed, AI could perpetuate unfair treatment in areas such as hiring, lending, or law enforcement. This highlights the importance of designing algorithms that prioritize fairness and inclusivity. On another note, ensuring equitable access to AI technologies is crucial. As this technology advances, there's a risk that only the most affluent institutions can benefit, potentially widening the divide between different socioeconomic groups. Programs aimed at training underrepresented communities in AI could help bridge this gap.
