INNOVATION PROVEN PSYCHOLOGY + AI TECHNOLOGY
Core AI
Our system level approach to AI innovation utilizes multiple AI models which focus on understanding the user, identifying the user needs (short term and long term) and matching the user to culturally appropriate coaching.
Feature extraction from the conversations is a core part of the workflow for classifying conversations into appropriate buckets using custom trained AI models.
Downstream from the classifiers, LLMs are utilized to generate appropriate coaching (CBTs) for presenting to the user.
We utilize Natural Language Processing and sentiment analysis as a means of adding guard rails to outgoing messages to the chatbot and incoming feedback from the chatbot. Any outgoing messages that violate the core subject matter of the chatbot and attempt to jailbreak the conversations are politely steered back to the mental health focus of the conversation.
We also implement guard rails to prevent some of the LLM models from hallucination.
Randomized Control Trials (RCTs)
We utilize randomize control trial governed by IRBs (Institutional Review Boards) to provide datapoints on the efficacy of the Tibb chatbot and our SAAS platform.
Coaching (CBT based)
We utilize clinically validated and time tested cognitive behavioral therapy approaches to provide coaching. Depending on the subject matter of the conversation best approaches to coaching like dialectical behavioral therapy and interpersonal behavioral therapy is used where appropriate.
Unbiased AI
Our multiple AI models are specially trained using proprietary and open source training and test data taking care to ensure the core data is free of bias and is representative of the user population.
AI model evaluation
Our AI models performance is continuously evaluated and interpreted to understand and explain the decision making criteria of the model.
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