Creation of Fair AI Models

ADEPT: A DEbiasing PrompT Framework

Authors: Ke Yang, Charles Yu, Yi Fung, Manling Li, Heng Ji | Published: 2022-11-10 | Updated: 2022-12-23
Bias Detection in AI Output
Prompting Strategy
Creation of Fair AI Models
2022.11.10 2025.05.28
Literature Database

Debiasing Pre-trained Contextualised Embeddings

Authors: Masahiro Kaneko, Danushka Bollegala | Published: 2021-01-23
Bias Detection in AI Output
Creation of Fair AI Models
Deep Learning Method
2021.01.23 2025.05.28
Literature Database

Towards Debiasing Sentence Representations

Authors: Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis-Philippe Morency | Published: 2020-07-16
Bias Detection in AI Output
Algorithm Fairness
Creation of Fair AI Models
2020.07.16 2025.05.28
Literature Database

FairGAN: Fairness-aware Generative Adversarial Networks

Authors: Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu | Published: 2018-05-28
Fairness Learning
Creation of Fair AI Models
Watermark Evaluation
2018.05.28 2025.05.28
Literature Database

Optimized Data Pre-Processing for Discrimination Prevention

Authors: Flavio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney | Published: 2017-04-11
Fairness Learning
Creation of Fair AI Models
Bias in Training Data
2017.04.11 2025.05.28
Literature Database

Counterfactual Fairness

Authors: Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva | Published: 2017-03-20 | Updated: 2018-03-08
Creation of Fair AI Models
Importance of Causal Models
Measurement of Observational Fairness
2017.03.20 2025.05.28
Literature Database