Why Isn’t AI Stopping Domestic Terrorism?
Artificial Intelligence is reshaping industries worldwide, but when it comes to national security, especially addressing domestic terrorism, its impact is questionable. The NSA boasts powerful AI tools capable of mass data collection and analysis. Yet, homegrown threats—like racially motivated attacks and anti-government plots—continue to escalate.
Why is AI missing these threats? Many systems are optimized for foreign intelligence, leaving domestic dangers overlooked. Worse, these tools often amplify biases, unfairly targeting marginalized communities instead of addressing the real risks. This raises critical questions about accountability, privacy, and civil liberties in the age of AI-powered surveillance.
🔍 In this video, we explore:
How the NSA uses AI in national security.
Why AI struggles to combat domestic terrorism.
The ethical dilemmas of AI-driven surveillance.
The impact of algorithmic bias on marginalized communities.
The stakes are too high to ignore. AI should protect everyone—not just collect data.
Hashtags:
#ArtificialIntelligence #NSASurveillance #DomesticTerrorism #BiasInAI #PrivacyMatters #AIandEthics #NationalSecurity #AIinSurveillance #CivilLiberties #AlgorithmicBias
Fair Use Disclaimer:
This video may contain copyrighted material used under the Fair Use Act, specifically for purposes of commentary, criticism, and educational analysis. All materials are attributed to their rightful owners. This content aims to promote public awareness and discussion about the ethical implications of AI in surveillance and its impact on civil liberties.
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