Below is an overview of the current discussion topics within the Trusted AI Committee. Further updates will follow as the committee work develops. 

  • Focus of the committee is on policies, guidelines, tooling and use cases by industry

  • Survey and contact current open source Trusted AI related projects to join LF AI efforts 

  • Create a badging or certification process for open source projects that meet the Trusted AI policies/guidelines defined by LF AI

  • Create a document that describes the basic concepts and definitions in relation to Trusted AI and also aims to standardize the vocabulary/terminology

Mailing List

If you are interested in getting involved please email info@lfai.foundation to be added to the mailing list. 

Current Participants

  • AT&T, Amdocs, Ericsson, IBM, Orange, TechM, Tencent


NameRegionOrganizationContact Info
Animesh SinghNorth AmericaIBMsinghan@us.ibm.com
Souad OualiEuropeOrangesouad.ouali@orange.com
Jeff CaoAsiaTencentjeffcao@tencent.com

Working Group:



 Contact Info
Ofer HermoniAmdocs ofer.hermoni@amdocs.com 
 Mazin GilbertATT mazin@research.att.com 
 Alka RoyATT AR6705@att.com 
Mikael Anneroth Ericssonmikael.anneroth@ericsson.com 

Jim Spohrer



Maureen McElaney



Susan Malaika


Francois Jezequel Orangefrancois.jezequel@orange.com 
Nat SubramanianTech Mahindra 


 Han Xiao Tencent hanhxiao@tencent.com

Sub Categories

- Fairness: Methods to detect and mitigate bias in datasets and models, including bias against known protected populations

- Robustness: Methods to detect alterations/tampering with datasets and models, including alterations from known adversarial attacks

- Explainability: Methods to enhance understandability/interpretability by persona/roles in process of AI model outcomes/decision recommendations, including ranking and debating results/decision options

- Lineage: Methods to ensure provenance of datasets and AI models, including reproducibility of generated datasets and AI models


AI Fairness 360https://github.com/IBM/AIF360http://aif360.mybluemix.net/
Adversarial Robustness 360https://github.com/IBM/adversarial-robustness-toolboxhttps://art-demo.mybluemix.net/
AI Explainability 360https://github.com/IBM/AIX360http://aix360.mybluemix.net

If you are interested in getting involved please email info@lfai.foundation for more information.