The discovery that Uber Eats returned restaurant suggestions based on racial slurs highlights a global problem of algorithmic bias in commercial AI systems. It underscores the need for transparent data practices, inclusive training datasets, and regulatory safeguards to prevent discrimination across the worldwide food‑delivery market.