Instruction: Discuss at least two ethical concerns that arise with the development and deployment of Large Language Models.
Context: This question is designed to evaluate the candidate's awareness and understanding of the ethical implications associated with LLMs. A competent candidate should be able to recognize and articulate concerns such as bias, privacy, and the impact on jobs among others, demonstrating an understanding that technical development must be balanced with ethical considerations.
The way I'd explain it in an interview is this: The main ethical concerns are bias, privacy, misuse, hallucinated authority, labor displacement, and concentration of power. LLMs can sound confident even when they are wrong, and that makes them especially risky in settings where people may overtrust the output.
I also think the ethical standard has to include deployment context, not just model training. A model that is acceptable for brainstorming may be unacceptable for medical, legal, or financial advice without strong controls. So the real question is not whether the model is ethically perfect. It is whether the system has the right boundaries, monitoring, and accountability for the use case.
What matters in an interview is not only knowing the definition, but being able to connect it back to how it changes modeling, evaluation, or deployment decisions in practice.
A weak answer lists bias and privacy as buzzwords but never connects them to deployment context, overtrust, or system-level safeguards.
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