agentlans/granite-3.3-2b-instruct-ethics
The agentlans/granite-3.3-2b-instruct-ethics model is a 2 billion parameter instruction-tuned language model, fine-tuned by agentlans from ibm-granite/granite-3.3-2b-instruct. It specializes in analyzing ethical dilemmas from everyday life using utilitarianism, deontology, and virtue ethics frameworks. This model is designed to provide ethical judgments, discussion questions, and answers based on user-provided scenarios, with a context length of 32768 tokens.
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Overview
This model, agentlans/granite-3.3-2b-instruct-ethics, is a specialized 2 billion parameter language model derived from ibm-granite/granite-3.3-2b-instruct. It has been fine-tuned on the agentlans/reddit-ethics dataset to perform ethical analysis of everyday dilemmas.
Key Capabilities
- Ethical Framework Analysis: Evaluates scenarios using three core philosophical frameworks:
- Utilitarianism: Focuses on maximizing overall well-being.
- Deontology: Assesses actions based on rules, duties, and obligations.
- Virtue Ethics: Emphasizes character traits and intentions.
- Structured Output: Generates a JSON output including a title, description, identified issues, analysis per framework, discussion questions, answers, and a resolution.
- Dilemma Resolution: Provides suggestions and a starting point for resolving ethical dilemmas.
Limitations
- Domain Specificity: Primarily trained on Reddit-based ethical dilemmas, making it less effective for out-of-distribution inputs like bizarre thought experiments or specialized ethics (e.g., medical ethics).
- Context Dependency: Requires sufficient context in the input for a meaningful moral evaluation.
- Vulnerability to Framing: Biased inputs can lead to biased outputs, and the model may be susceptible to situation framing.
- Guidance, Not Authority: Offers suggestions and analysis, but users should apply their own reasoning, human values, and consideration.