Conversational AI Promises More Natural Dialogues, but Faces Risks
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Conversational AI uses natural language processing and machine learning to enable fluid dialogue between humans and computers via text or voice.
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Key capabilities include speech recognition, language understanding, dialogue management, response generation, and text-to-speech.
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Use cases include virtual assistants, customer service chatbots, conversational commerce, and business automation.
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Benefits include 24/7 availability, efficiency, scalability, and personalized experiences; risks include bias, overreliance, and privacy concerns.
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The future promises more advanced emotional intelligence, omnichannel experiences, human-like avatars, deeper personalization, expert-level knowledge, and immersive environments.