AI models can perpetuate biases present in training data, leading to discriminatory algorithms and unfair system behaviors.

Types of Bias

  • Gender bias in hiring algorithms
  • Racial bias in facial recognition
  • Socioeconomic bias in credit scoring
  • Age bias in recommendation systems

Biased Code Example

// AI might generate biased logic:
function evaluateCandidate(resume) {
  let score = 0;
  
  // Unconscious bias in AI training data
  if (resume.name.includes("John") || resume.name.includes("Michael")) {
    score += 10; // ❌ Gender bias
  }
  
  if (resume.university.includes("Ivy")) {
    score += 20; // ❌ Elitist bias
  }
  
  return score;
}

Always audit AI-generated algorithms for fairness.