News
🤖🎯 When AI Confuses Members of Congress...
🧠 A test conducted by the ACLU (American Civil Liberties Union) revealed major flaws in Amazon’s facial recognition technology, Rekognition.
🔍 Goal? To assess AI bias.
📸 Result: Rekognition mistakenly matched 28 members of the U.S. Congress with mugshots from a criminal database.
🚨 And that’s not all:
👉 40% of the false matches were people of color.
⚠️ What this shows:
• AI is not neutral — it reflects the biases of the data it’s trained on.
• Such errors can have serious consequences, especially in policing or judicial contexts.
• Facial recognition technology poses major discrimination risks if not strictly regulated.
📢 Key Takeaways:
➡️ Innovation must never come at the expense of fundamental rights.
➡️ AI needs ethics, transparency, and regulation.