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15 search results found

Responsible Ai Toolbox ⭐ 1,187

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Fairness Indicators ⭐ 327

Tensorflow's Fairness Evaluation and Visualization Toolkit

Image Crop Analysis ⭐ 198

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Deep Explanation Penalization ⭐ 74

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Presentations ⭐ 51

Talks & Workshops by the CODAIT team

Credoai_lens ⭐ 44

Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.

Equalityml ⭐ 24

Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.

Metric Fairness ⭐ 20

EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation

Responsible Ai Toolbox Genbit ⭐ 18

A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.

Article Information 2019 ⭐ 10

Article for Special Edition of Information: Machine Learning with Python

Responsible Ai Workshop ⭐ 9

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

Ml Testing ⭐ 8

ML Testing for Everyone. Find issues before they become problems.

Ldp Fairness Impact ⭐ 7

Repository for the DBSec 2023 paper "(Local) Differential Privacy has NO Disparate Impact on Fairness"

Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"

Robust Counterfactuals ⭐ 6

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Enforcing fairness in binary and multiclass classification

WordBias: Visualizing Intersectional Social biases encoded in Word Embeddings

Kaggle Titanic ⭐ 5

Trying out things on Kaggle's Titanic dataset

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