AI for Everyone - AI Ethics and SocietyA facial recognition AI shows higher error rates for certain skin tones. What is the main cause?AThe AI uses outdated hardwareBThe AI was trained on mostly lighter skin tonesCThe AI algorithm is too slowDThe AI was trained on equal skin tonesCheck Answer
Step-by-Step SolutionSolution:Step 1: Identify training data biasHigher errors for some skin tones usually mean underrepresentation in training data.Step 2: Match cause to optionsThe AI was trained on mostly lighter skin tones correctly states the AI was trained mostly on lighter skin tones.Final Answer:The AI was trained on mostly lighter skin tones -> Option BQuick Check:Training bias = Higher error rates [OK]Quick Trick: Unequal training data causes biased error rates [OK]Common Mistakes:Blaming hardware or speedAssuming equal training data
Master "AI Ethics and Society" in AI for Everyone9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
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