Is AI Biased? The Hidden Dangers of Algorithmic Discrimination
Автор: Clear Tech
Загружено: 2026-01-07
Просмотров: 17
This video presents a comprehensive analysis of the ethical crisis inherent in Automated Decision-Making (ADM) and the rapid proliferation of Artificial Intelligence. We break down the three interconnected risks that are currently challenging societal stability: algorithmic bias that reinforces systemic discrimination (in areas like criminal justice and hiring), the unique data privacy threats posed by Large Language Models (LLMs) through data leakage, and the erosion of moral agency when decisions are left to "black box" systems.
Crucially, we explore the solutions and comprehensive governance frameworks designed to mitigate these risks, such as the EU AI Act's risk-based approach. We discuss the urgent need for Explainable AI (XAI), mandatory human oversight, and the strategic shift toward privacy-enhancing technologies like synthetic data generation. Join us as we examine how proactive regulation can ensure AI aligns with human-centric values.
#AI #AlgorithmicBias #DataPrivacy #TechEthics #EUAIAct #ExplainableAI #ArtificialIntelligence #FutureOfTech #DigitalRights
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