You're a software engineering student working at a tech startup during your summer internship. Your team is developing an AI-powered job recommendation system for college students. While you've memorized the ACM Code of Ethics principles, you're discovering that real-world ethical dilemmas are more complex than the code directly addresses.

Current Situation:

Your job recommendation AI has been trained on historical hiring data and consistently recommends higher-paying tech jobs to male students and lower-paying service jobs to female students with identical qualifications. Your supervisor says this "reflects market realities" and the ACM Code doesn't explicitly forbid using historical data patterns.

The Challenge:

The ACM Code provides general principles like "avoid harm" and "be fair," but it doesn't tell you specifically how to handle this complex situation. You need a systematic way to think through the ethical implications and make a reasoned decision.