How Do Design Flaws Create Algorithmic Bias?
Автор: AI and Technology Law
Загружено: 2025-12-25
Просмотров: 1
Ever wondered how seemingly minor design choices can lead to widespread and unfair algorithmic bias? This video breaks down the critical stages where design flaws creep into AI systems, causing unintended and often harmful outcomes.
In this insightful discussion, you'll discover:
► The foundational role of data selection and feature engineering in shaping algorithmic fairness.
► How the choice of evaluation metrics can inadvertently amplify existing biases or create new ones.
► The impact of human oversight, or lack thereof, in perpetuating design flaws through an algorithm's lifecycle.
► Understanding the systemic nature of bias, moving beyond just 'bad data' to include design methodologies.
► Practical insights into mitigating bias by addressing design vulnerabilities proactively.
#AlgorithmicBias, #AIDesign, #TechEthics, #FairAI, #AIandLaw, #TechPolicy, #DataScience
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