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Conversational AI
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AI designed to understand and respond to human language in a natural and engaging way.
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Natural interaction, customer support automation, language translation, personalized experiences.
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Contextual understanding limitations, potential for biases in responses, difficulty with complex or nuanced conversations.
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Chatbots, virtual assistants (Siri, Alexa), language learning apps (Duolingo).
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Computer Vision
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AI that enables machines to interpret and understand visual information from the world, like images and videos.
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Object recognition, image classification, facial recognition, autonomous vehicles, medical image analysis.
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Sensitivity to changes in lighting or viewpoint, potential for biases in algorithms, challenges with interpreting abstract or artistic content.
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Self-driving cars, security systems, medical diagnostics.
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Robotics
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AI combined with engineering to create machines that can perform tasks autonomously or with human guidance.
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Automation of repetitive tasks, increased precision and efficiency, operation in hazardous environments, exploration of inaccessible areas.
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High initial costs, potential job displacement, ethical concerns about autonomous decision-making, complexity of creating human-like dexterity.
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Industrial robots, drones, surgical robots, household cleaning robots (Roomba).
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Expert Systems
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AI that mimics the decision-making ability of a human expert in a specific domain.
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Captures and replicates expert knowledge, consistent decision-making, improved efficiency in complex domains, availability 24/7.
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Difficulty in handling novel situations, knowledge acquisition bottleneck, potential for outdated knowledge, limitations in adapting to changing environments.
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Medical diagnosis systems, financial planning tools, fraud detection systems.
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