- 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
Zoom info : Trusted AI Committee meeting - Alternate Thursday'sNA/Europe Meeting 4th Thursday of the month, 10 PM Shenzen China, 4 PM Paris, 10 AM ET, 7 AM PT USA (updated for daylight savings time as needed) https://zoom.us/j/7659717866
Trusted AI Committee activities summarization for Governing board - Animesh Singh
Swaminathan Chandrasekaran, KPMG Managing Director would be talking about how they are working with practitioners in the field on their AI Governance and Trusted AI needs.
Susan Malaika from IBM will be giving an update from the Principles Working Group, and progress there.
Saishruthi Swaminathan to do a presentation on AI Transparency in Marketplace
Francois Jezequel to present on Orange Responsible AI initiative.
Andrew and Tommy did a deep dive in Kubeflow Serving and Trusted AI Integration
Principles Working Group discussion
AI for People is focused on the intersection of AI and Society with a lot of commonality with the focus areas of our committee. Marta will be joining to present their organization and what they are working on.
Proposal of Use Case to be tested by AT&T using Apache Nifi and AIF360 (romeo)
Introduction to baseline data set for AI Bias detection (romeo)
Exemplar walk-through: retrospective bias detection with Apache Nifi and AIF360 (romeo)
Principles Working Group Status Update (Susan)
Discuss AIF360 work around SKLearn community (Samuel Hoffman, IBM Research demo)
Discuss "Many organizations have principles documents, and a bit of backlash - for not enough practical examples."
Watch updates on production ML with Alejandro Saucedo done with Susan Malaika on the Cognitive Systems Institute call:
Animesh Singh (IBM), Maureen McElaney (IBM), Han Xiao (Tencent), Alejandro Saucedo, Mikael Anneroth (Eriksson), Ofer Hermoni (Amdocs)
Animesh will check with Souad Ouali to ensure Orange wants to lead the Principles working group and host regular meetings. Committee members on the call were not included in the email chains that occurred so we need to confirm who is in charge and how communication will occur.
The Technical working group has made progress but nothing concrete to report.
A possible third working group could form around AI Standards.
Attendees: Ibrahim. H, Nat .S, Animesh.S, Alka.R, Jim.S, Francios. J, Jeff. C, Maureen. M, Mikael. A, Ofer. H, Romeo.K
Goals defined for the meeting:
Working Group Names and Leads have been confirmed:
Principles, lead: Souad Ouali (Orange France) with members from Orange, AT&T, Tech Mahindra, Tencent, IBM, Ericsson, Amdocs.
Technical, lead: Romeo Kienzler (IBM Switzerland) with members from IBM, AT&T, Tech Mahindra, Tencent, Ericsson, Amdocs, Orange.
Working groups will have a weekly meeting to make progress. First read out to LF AI governing board will be Oct 31 in Lyon France.
The Principles team will study the existing material from companies, governments, and professional associations (IEEE), and some up with set that can be shared with the technical team for feedback as a first step. We need to identify and compile the existing materials.
The Technical team is working on Acuomos+Angel+AIF360 integration demonstration.