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Initially, AI's role in mental health was predominantly analytical, focusing on diagnosing conditions and predicting treatment outcomes through pattern recognition. Real-World Applications Here we highlight three cutting-edge empathetic AI applications increasingly deployed in mental healthcare today.
Theory of Mind AI would also be able to understand and contextualize artwork and essays, which today’s generative AI tools are unable to do. EmotionAI is a theory of mind AI currently in development. To date, EmotionAI is unable to understand and respond to human feelings.
Service-Facing AI for UX Let’s take a look at some real-world examples of how AI is changing UX. Chatbots and Virtual Assistants Some of the examples of AI are the chatbots, which range from the more common popular ones such as Siri, Alexa, and Google Assistant.
Natural Language Processing (NLP) NLP enables AI systems to understand, interpret, and generate human language. This feature allows AI to interact with humans through voice commands, chatbots, and language-based interfaces.
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