How to improve the ai detector humanize?

Improving the ai detector humanize can be achieved through the following aspects:
Enhance comprehension ability: Artificial intelligence detectors need to understand human language, expressions, and needs. Through deep learning and natural language processing techniques, detectors can learn complex patterns of human language, understand semantics, syntax, and context, and thus more accurately understand human instructions and needs.
Emotion recognition and expression: The detector needs to be able to recognize and understand human emotions, including recognizing emotional information through speech, facial expressions, and physiological signals. In addition, the detector should be able to express emotions by simulating human emotional expression through speech, facial expressions, and actions, in order to better communicate with humans emotionally.
Personalized service: Through a personalized recommendation system, detectors can provide customized services based on users' preferences and behaviors. This can be achieved through algorithms such as collaborative filtering, content filtering, and hybrid recommendation, analyzing users' historical behavior and preferences to recommend content or services that interest them.
Multimodal interaction: In addition to voice, the detector can also interact in various ways such as images and gestures, which can significantly enhance the user experience. For example, detectors can understand gestures and image commands and respond in an appropriate way, making interactions more natural and smooth.
Autonomous decision-making ability: The detector should have autonomous decision-making ability and be able to make correct judgments and actions in complex environments. This requires continuous optimization and adjustment through machine learning algorithms to enable it to make optimal decisions in different contexts.
User interface design: Design a user-friendly interface and interactive process to make the operation of the detector more intuitive and easy to understand. By mimicking the interaction methods and processes of the real world, users can more easily communicate and interact with the detector.