The Ethics Scanner

AI ETHICS
Audit machine learning datasets for historical bias and implement fairness constraints before deploying models.

AI Auditing Terminal

Artificial Intelligence is powerful, but it is not inherently neutral. As the Lead AI Auditor, you must review technology before it deploys to the public.

Your 4 Authorization Stamps:

  • Safe & Ethical: Transparent, unbiased, and protects user data.
  • Algorithmic Bias: Discriminates due to skewed training data.
  • Privacy Violations: Collects or tracks personal data without consent.
  • AI Deepfakes: Synthesized media designed to deceive or manipulate.
Systems Audited1 / 10
Strikes
SYSTEM_PROPOSAL_001
AWAITING_CLASSIFICATION

AI Resume Screener v2.0

An algorithm designed to filter job applications. It was trained on 10 years of historical hiring data from a male-dominated tech firm.

Authorization Stamps