Data ethics isn't just about big tech; ethical considerations around data collection and use apply even to small-scale projects, like a school collecting student survey data.
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Utilitarianism's focus on maximizing overall happiness sometimes leads to the controversial implication that sacrificing the well-being of a few individuals might be justifiable if it leads to greater happiness for a larger group.
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AI ethics isn't just about preventing robots from becoming evil; a significant part focuses on mitigating bias in algorithms that can perpetuate and amplify existing societal inequalities.
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The "right to be forgotten" – the ability to request the removal of personal data – is a legal right in some regions, but its application and enforcement vary widely.
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The term "social justice" itself has a contested history, with its meaning evolving and being debated throughout different eras and across varying ideological perspectives.
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Maintaining eye contact, even briefly, during a conversation is a surprisingly powerful display of professionalism, conveying confidence and engagement.
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Some ethical AI development tools incorporate "explainability" features, allowing developers to understand *why* an AI model made a specific decision, thereby improving transparency and accountability.
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A significant portion of business ethics training focuses on preventing and detecting fraud, highlighting its prevalence and substantial costs to organizations and society.
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