Anonymity of Sensitive Data: Users must ensure
that uploaded datasets do not contain personally identifiable
information such as names, phone numbers, addresses, or unique
identifiers.
Ethical Use of Protected
Attributes: Sensitive attributes such as gender, ethnicity,
disability status, age group, or socio-economic indicators
should only be used for legitimate fairness auditing and
responsible AI research.
Intended Usage: FairLens is
designed for fairness auditing, research, and transparency in
algorithmic decision systems.
Dataset Summary
Upload dataset to view summary.
Protected Attribute
Distribution
Select a protected attribute and run analysis.
Fairness Analysis Results
Bias Heatmap (Prediction Rate by Group)
Heatmap Color Guide:
Low prediction rate
Moderate prediction rate
High prediction rate
Color intensity indicates how frequently
the model predicts positive outcomes for each protected group.
PlanetAI Responsible AI
Principles
Fairness: Promote equitable outcomes in
algorithmic decision systems.
Transparency: Encourage openness in AI
evaluation and auditing.
Privacy: Protect individual identity by
requiring anonymized datasets.
Accountability: Support responsible development
and deployment of AI systems.
Sustainability: Advance ethical and sustainable
AI practices through research and tools.