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Artificial intelligence systems have moved beyond merely suggesting films or displaying advertisements. Today, many critical decisions—from credit applications to medical diagnoses, hiring processes to autonomous vehicles—are made or guided by AI-supported systems. However, this advancement brings forward a crucial question: How much trust can people place in algorithms whose workings they do not understand? At the heart of this question lies the “Black Box,” that is, opaque algorithms. Particul

“Humanoid Hype” and the Robotics Paradox AI-powered chatbots have rapidly assumed roles such as personal assistants customer service representatives and even psychological counselors within just a few years. This advancement stems from large language models trained on trillions of words of data collected from the internet. Riding the momentum of this success technology leaders like Elon Musk and NVIDIA CEO Jensen Huang argue that humanoid robots trained with similar methods will soon replace sur