Datasets
Curated data for ethical algorithmic research and design impact.
Data Curation
Focused on critical domains with societal implications for fairness.
Model Probing
Analyze behavior shifts based on augmented dataset variations.
Counterfactuals
Generate synthetic variations to mitigate algorithmic bias effects.
Attention Analysis
Track model behavior through probing and attention mechanisms.
Fine-tuning
Adapt models to enhance performance on domain-specific tasks.