Generative AI with LLMs: Constitutional AI: A Technique for Aligning AI Systems with Human Values

Learn what Constitutional AI is and how it works. Constitutional AI is a technique developed by Anthropic to make AI systems helpful, harmless, and honest by aligning them with a set of human-defined principles.

Question

Which of the following are true in regards to Constitutional AI? Select all that apply.

A. Red Teaming is the process of eliciting undesirable responses by interacting with a model.
B. To obtain revised answers for possible harmful prompts, we need to go through a Critique and Revision process.
C. In Constitutional AI, we train a model to choose between different responses.
D. For constitutional AI, it is necessary to provide human feedback to guide the revisions.

Answer

A. Red Teaming is the process of eliciting undesirable responses by interacting with a model.
B. To obtain revised answers for possible harmful prompts, we need to go through a Critique and Revision process.
C. In Constitutional AI, we train a model to choose between different responses.

Explanation

The correct answers are A, B, and C. Constitutional AI is a technique developed by Anthropic to align AI systems with human values and make them helpful, harmless, and honest. Constitutional AI relies on the following steps:

• Red Teaming: This is the process of eliciting undesirable responses by interacting with a model. The goal is to identify potential harmful, misleading, or deceptive outputs that violate the constitution, which is a set of human-defined principles that shape how the AI should behave.
• Critique and Revision: This is the process of generating self-critiques and revisions for the undesirable responses. The model learns to evaluate its own outputs according to the constitution and provide explanations for why they are problematic. The model also learns to revise its outputs to make them more aligned with the constitution.
• Preference Learning: This is the process of training a model to choose between different responses. The model learns to compare two outputs and select the one that is more consistent with the constitution. The model also learns to rank the outputs according to their degree of alignment.

D is false because Constitutional AI does not require human feedback to guide the revisions. The model learns to behave according to its constitution without explicit human labeling or oversight. The model uses techniques like self-supervision and adversarial training to learn from its own outputs and preferences.

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