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Sci-fi movies introduced concepts of robots and computers chatting with humans, which looked only achievable in film. Currently, we’re living in that reality with voice assistants like Siri and Alexa to smart home devices and self-driving cars; Artificial Intelligence is spreading its wings everywhere.
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– Narrow or Weak AITask-specific AI (e.g., chatbots, virtual assistants, recommendation systems) – General or Strong AIHypothetical AI with human-like understanding and learning across tasks Ongoing ethical discussions – Machine LearningSubset of AI Involves creating algorithms Enables computers to learn and make predictions or decisions based on data – Deep LearningSubfield of AI
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Natural Language Processing (NLP): 1. Teaches chatbots to understand and generate human language. 2. Aims to improve chatbot responses, enhance language understanding, and address nuances like sarcasm and context. Contextual Understanding 1. Focus on making chatbots understand and maintain context during conversations 2. Involves recognizing references and recalling past interactions for coherent responses
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AI development is about understanding human thinking and behavior rather than just about computers and algorithms. AI in psychology works as shown below: – Behavioral Modeling – User Experience Design – Emotion Recognition – Cognitive Modeling – Personalization – Ethical AI – Human-Computer Interaction – Learning Algorithms – User Feedback Analysis – Explainability
As AI evolves, so does our relationship with it. The understanding is that AI isn’t here to replace us, but to complement and make our work easier and smoother than ever before. Our psychology shapes how we perceive, trust, connect and work with AI.