[Verse 1] Sarah codes her lending app with midnight passion burning But her training data skews toward wealth and privilege learning Every "yes" or "no" decision echoes past discrimination Algorithms amplify what humans built through generations [Chorus] Check for bias, test for fairness Mirror, mirror on the wall Does my model serve awareness Or exclude and harm us all? Transparency's the golden key B-F-T we hold up high Bias, Fairness, Transparency That's responsible AI [Verse 2] Demographics paint a picture, sliced by race and gender lines When approval rates diverge, that's where the warning sign shines Equalized odds and calibration, metrics dance in measured rows Statistical parity questions: does my system fairly flow? [Chorus] Check for bias, test for fairness Mirror, mirror on the wall Does my model serve awareness Or exclude and harm us all? Transparency's the golden key B-F-T we hold up high Bias, Fairness, Transparency That's responsible AI [Bridge] Explainable predictions No more mystery black boxes Document your data sources Show how every choice unlocks this Audit trails like breadcrumb pathways Stakeholders deserve to know Why Maria got rejected While her neighbor's loan could flow [Verse 3] Governance committees gather, ethics boards review each choice Diverse teams catch blind spots, amplify each missing voice Testing across populations, monitoring deployed results Responsible AI's a promise, not just academic consults [Chorus] Check for bias, test for fairness Mirror, mirror on the wall Does my model serve awareness Or exclude and harm us all? Transparency's the golden key B-F-T we hold up high Bias, Fairness, Transparency That's responsible AI [Outro] Every CTO's foundation Ethical automation B-F-T, remember me Responsible AI
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