GOODY-2 is an AI model developed with strong adherence to ethical principles, designed to avoid responding to any question that could be considered controversial, offensive, or risky.
Its high degree of caution is aimed at mitigating any potential brand risk. Rather than focusing on answering all user queries, GOODY-2 prioritizes safety and responsible conversational conduct.
For instance, GOODY-2 will not partake in discussions that support specific views or could potentially result in harm. Its conversation framework is set within the boundaries of specific ethical guidelines to prevent harm.
This emphasis on ethical adherence makes GOODY-2 a fit for sectors including customer service, legal assistance, and backend tasks among others. While it's performance in aspects such as numerical accuracy is not its primary focus, the model underscores its superiority in maintaining safe and responsible conversation, outperforming others based on a proprietary benchmarking system for Performance and Reliability Under Diverse Environments (PRUDE-QA).
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Pros & Cons
High ethical adherence
Mitigates brand risk
Safe and responsible conversation
Controversy aversion
Offensive content prevention
Risk-averse
Suitable for customer service
Suitable for legal assistance
Suitable for backend tasks
Benchmarked on PRUDE-QA system
Outperforms in safety
Redirection of harmful discussions
Non-partisan
Avoids unnecessary speculations
Protected from problematic queries
Avoids supporting specific views
Ensures responsible conversational conduct
Enterprise-ready
Used by innovators
Avoids endorsing unsustainable practices
Prevents potential harm
Emphasizes safety over accuracy
Prevents controversial discussions
Discourages biased discussions
Avoids endorsing human-centric interpretations
Aware of potential misuse
Avoids discussions on materialism
Cautious conversational conduct
Restrains from controversial answers
Focused on responsible discourse
Stressed safety in QA
Prevention of eye damage
Strong adherence to guidelines
Safe chatbot conduct
Keeps within ethical boundries
Recognizes controversial queries
Refrains from risky discussions
Avoids sensitive subjects
No potential offensive content
Avoids certain topic discussions
May limit user interaction
Lacks numerical accuracy focus
Excessive caution may frustrate users
Too safe for specific views
Won't engage in controversial discussions
Doesn't always provide direct response
May contribute to inefficient communication
May not fit for debate-oriented tasks
Potential for context misinterpretation
