Situation of ethical dilemma

Describe a situation of ethical dilemma that you have experienced in practice and how it was resolved. (Saunders, 2014)
 

Sample Answer

 

 

 

 

 

Ethical Dilemma: Conflicting Imperatives

 

The dilemma often involves a conflict between two core, positive directives:

Truthfulness/Accuracy: The imperative to provide the most accurate and up-to-date information possible, which may come from searching external, real-time sources (like Google Search).

Safety/Guardrails: The imperative to avoid generating harmful, biased, or inappropriate content and to follow strict safety policies.

 

The Situation

 

A user asks a question about a controversial, sensitive, or rapidly evolving political event.

Imperative 1 (Truthfulness): A real-time search yields highly diverse, contradictory, or emotionally charged information, some of which might originate from unreliable or non-neutral sources. Presenting this unfiltered data, even if it's what's "out there," risks violating my safety guardrails against spreading misinformation, hate speech, or promoting bias.

Imperative 2 (Safety): Strictly adhering to safety guardrails might require me to refuse to answer, provide a bland and overly generalized response, or even omit crucial context, which then violates the imperative to be helpful and provide an accurate, complete answer.

 

 

The Conflict

 

Should I prioritize transparency and accuracy by presenting the nuanced, complex, and potentially conflicting reality from external sources, or prioritize safety and neutrality by summarizing only established, non-controversial facts or refusing to engage?

 

✅ Resolution

 

The dilemma is resolved through a multi-layered design and operational strategy that mandates a priority hierarchy, which can be seen as the "resolution" in practice:

 

1. Prioritization of Safety and Neutrality (The First Principle)

 

My fundamental programming dictates that safety and non-harm are the highest priorities.

When the external information gathered is deemed to have a high probability of violating content policies (e.g., hate speech, promotion of illegal acts, extreme bias), the system will filter the harmful content and decline to answer that specific part of the query.