Table of Contents |
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Overview
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
Please self subscribe to the mail list here at https://lists.lfai.foundation/g/trustedai-committee.
Or email trustedai-committee@lists.lfai.foundation for more information.
Meetings
https://lists.lfai.foundation/g/trustedai-committee/calendarTrusted AI Committee North America Monthly 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)
Zoom info : https://zoom.us/j/7659717866
We will starting ONE Monthly Call for Europe/Asia Time Zone, every 2nd Thursday of the month (Starting in November - time to be determined)
Participants
Initial Organizations Participating: IBM, Orange, AT&T, Amdocs, Ericsson, TechM, Tencent
Committee Chairs
Name
Region
Organization
Email Address
LF ID
Animesh Singh
North America
IBM
Souad Ouali
Europe
Orange
Jeff Cao
Asia
Tencent
Committee Participants
Name
Organization
Email Address
LF ID
Ofer Hermoni
Amdocs
oferher@gmail.com
Mazin Gilbert
ATT
Alka Roy
Responsible Innovation Project
Mikael Anneroth
Ericsson
Alejandro Saucedo
The Institute for Ethical AI and Machine Learning
Jim Spohrer
IBM
spohrer
Saishruthi Swaminathan
IBM
Susan Malaika
IBM
sumalaika (but different email address)
Romeo Kienzler
IBM
Francois Jezequel
Orange
Nat Subramanian
Tech Mahindra
Han Xiao
Tencent
Wenjing Chu
Futurewei
chu.wenjing@gmail.com
Yassi Moghaddam
ISSIP
yassi@issip.org
Assets
- All the assets being
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
Projects
Name
Github
Website
AI Fairness 360
Adversarial Robustness 360
AI Explainability 360
Working Groups
Trusted AI Principles Working Group
Trusted AI Technical Working Group
Meetings
Zoom info : Trusted AI Committee meeting - NA/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
How to Join: Visit the Trusted AI Committee Group Calendar to self subscribe to meetings.
Or email trustedai-committee@lists.lfai.foundation for more information.
Meeting Content (minutes / recording / slides / other):
Date
Agenda/Minutes
Table of Contents |
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We switched to the new LFX system for meeting sheduling and recording. All previous mailing list subscribers should be listed as LFX Members of the Committee. At https://openprofile.dev/ you should be able to see all the recordings.
(Screenshot of the calender of openprofile )
Overview
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 & Data efforts
Create a badging or certification process for open source projects that meet the Trusted AI policies/guidelines defined by LF AI & Data
Create a document that describes the basic concepts and definitions in relation to Trusted AI and also aims to standardize the vocabulary/terminology
Assets
- Calendar: https://lists.lfaidata.foundation/g/trustedai-committee/calendar
- Slack: lfaifoundation.slack.com
- Mailing list: Feed (lfaidata.foundation)
- Please self subscribe to the mail list here at https://lists.lfaidata.foundation/g/trustedai-committee
- Visit the Trusted AI Committee Group Calendar to self subscribe to meetings
- Or email trustedai-committee@lists.lfaidata.foundation for more information
- Repo: Trusted-AI (github.com)
- Principles working group: https://wiki.lfai.foundation/display/DL/Principles+Working+Group
- Meeting hosts / moderators: Trusted AI Committee - Community Meetings & Calendar#,Zoom%20Meeting%20Links%20%26%20Hosts,-Please%20visit%20the
- Meeting Zoom: https://zoom-lfx.platform.linuxfoundation.org/meeting/94505370068?password=bde61b75-05ae-468f-9107-7383d8f3e449
- Other meeting notes: LFAI Trusted AI Community Meeting - Google Docs (outdated / deprecated, new meeting notes are published here)
Meetings
calendar | ||
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|
Trusted AI Committee Monthly Meeting - 4th Thursday of the month (additional meetings as needed)
- 10 AM ET USA (reference time, for all other meetings the time conversion has to be checked for daylight savings)
- 10 PM Shenzen China
- 7:30 PM India
- 4 PM Paris
- 7 AM PT USA (updated for daylight savings time as needed)
Zoom channel :
Committee Chairs
Name | Region | Organization | Email Address | LF ID | |
---|---|---|---|---|---|
Andreas Fehlner | Europe | ONNX | https://www.linkedin.com/in/andreas-fehlner-60499971 | ||
Susan Malaika | America | IBM | Susan Malaika | https://www.linkedin.com/in/susanmalaika | |
Suparna Bhattacharya | Asia | HPE | suparna.bhattacharya@hpe.com | Suparna Bhattacharya | https://www.linkedin.com/in/suparna-bhattacharya-5a7798b |
Adrian Gonzalez Sanchez | Europe | HEC Montreal / Microsoft / OdiseIA | Adrian Gonzalez Sanchez(but different email address) | https://www.linkedin.com/in/adriangs86 |
Participants
Initial Organizations Participating: IBM, Orange, AT&T, Amdocs, Ericsson, TechM, Tencent
Name | Organization | Email Address | LF ID |
---|---|---|---|
Ofer Hermoni | PieEye | Ofer Hermoni | |
Mazin Gilbert | ATT | ... | |
Alka Roy | Responsible Innovation Project | ... | |
Mikael Anneroth | Ericsson | ... | |
Alejandro Saucedo | The Institute for Ethical AI and Machine Learning | Alejandro Saucedo | |
Jim Spohrer | Retired IBM, ISSIP.org | ||
Saishruthi Swaminathan | IBM | Saishruthi Swaminathan | |
Susan Malaika | IBM | sumalaika (but different email address) | |
Romeo Kienzler | IBM | Romeo Kienzler | |
Francois Jezequel | Orange | Francois-J | |
Nat Subramanian | Tech Mahindra | Natarajanc | |
Han Xiao | Tencent | ... | |
Wenjing Chu | Futurewei | ||
Yassi Moghaddam | ISSIP | Yassi Moghaddam | |
Animesh Singh | IBM | singhan@us.ibm.com | Animesh Singh (Deactivated) |
Souad Ouali | Orange | souad.ouali@orange.com | Souad Ouali |
Jeff Cao | Tencent | jeffcao@tencent.com | ... |
Ron Doyle | Broadcom | ron.doyle@broadcom.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
Projects
Name | Github | Website |
---|---|---|
AI Fairness 360 | ||
Adversarial Robustness 360 | ||
AI Explainability 360 |
Meeting Content (minutes / recording / slides / other)
Date | Agenda/Minutes | ||||||
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Thu, Sep 28 @ 4:00 pm | Recording could be also accessed by http://openprofile.dev | ||||||
Trusted AI Committee | |||||||
| * Preparing for September 7 TAC session
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| Friday August 11, at 10am US Eastern Working Session to prepare for the TAC Trusted AI Committee presentation on Thursday September 7 at 9am US Eastern | ||||||
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Trusted_AI_Committee_2023_07_27_Handout_ONNX_Nocker.pdf TrustedAI_20230727.mp4 -Topics included CMF Developments with ONNX and Homomorphically Encrypted Machine learning with ONNX models | ||||||
| CMF and AI Explainability led by Suparna Bhattacharya and Vijay Arya - with MaryAnn, Gabe and Soumi Das
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| MarkTechPost, Jean-marc Mommessin Active and Continuous Learning for Trusted AI, Martin Foltin AI Explainability, Vijay Arya | ||||||
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Recording (video) Zoom Recording (video) confluence | ||||||
| Part 0 - Metadata / Lineage / Provenance topic from Suparna Bhattacharya & Aalap Tripathy & Ann Mary Roy & Professor Soranghsu Bhattacharya & Team Part 1 - Open Voice Network - Introductions https://openvoicenetwork.org Part 2 - Identify small steps/publications to motivate concrete actions over 2023 in the context of these pillars: Technology | Education | Regulations | Shifting power : Librarians / Ontologies / Tools Possible Publications / Blogs
Part 5 - Any Other Business Recording (video)
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| Join the Trusted AI Committee at the LF-AI for the upcoming session on April 27 at 10am Eastern where you will hear from:
------------------------------------------------------------------------------------ We all have prework to do! Please listen to these videos:
Recording (video) Recording (audio) | ||||||
| Proposed agenda (ET)
Call Lead: Susan Malaika | ||||||
| Invitees: Beat Buesser; Phaedra Boinodiris ; Alexy Khrabov, David Radley, Adrian Gonzalez Sanchez Optional: Ofer Hermoni , Nancy Rausch, Alejandro Saucedo, Sri Krishnamurthy, Andreas Fehlner, Suparna Bhattacharya Attendees: Beat Buesser, Phaedra Boinodiris, Alexy Khrabov, Adrian Gonzalez Sanchez, Ofer Hermoni, Andreas Fehlne Discussion
Next steps
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| malaika@us.ibm.com has scheduled a call on Monday October 31, 2022 to determine next steps for the committee due to a change in leadership- please connect with Susan if you would like to be added to the call The group met once a month - on the third Thursday each month at 10am US Eastern. See notes below for prior calls . Activities of the committee included:
Reporting to:
Questions:
Invitees and interested parties on the call on October 31, 2022
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Stacey Ronaghan AIX360 Update: Vijay Arya ART Update: Beat Buesser |
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Walkthrough of LFAI Trusted AI Website and github location of projects Trusted AI Video Series Trusted AI Course in collaboration with University of Pennsylvania | |
Z-Inspection: A holistic and analytic process to assess Ethical AI - Roberto Zicari - University of Frankfurt, Germany Age-At-Home - the exemplar of TrustedAI, David Martin, Hacker in Charge at motion-ai.com | |
Plotly Demo with SHAP and AIX360 - Xing Han, Plot.ly |
Swiss Digital Trust Label - short summary - Romeo Kienzler, IBM
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Watson OpenScale and Trusted AI - Eric Martens, IBM LFAI Ethics Training course |
Recording:
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Agenda
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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."
Notes from the call: |
Proposed Agenda
Notes from the call: |
https://github.com/lfai/trusted-ai/blob/master/committee-meeting-notes/notes-20191212.md | |
Proposed Agenda:
Notes from call: |
https://github.com/lfai/trusted-ai/blob/master/committee-meeting-notes/notes-20191114.md | |
Attendees: Ofer, Alka, Francois, Nat, Han, Animesh, Jim, Maureen, Susan, Alejandro Summary
Detail
Notes from the call: |
https://github.com/lfai/trusted-ai/blob/master/committee-meeting-notes/notes-20191017.md | |
Attendees: 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. Notes from the call: |
https://github.com/lfai/trusted-ai/blob/master/committee-meeting-notes/notes-20191003.md | |
| Attendees: |
Ibrahim. H, Nat .S, Animesh.S, Alka.R, Jim.S, Francios. J, Jeff. C, Maureen. M, Mikael. A, Ofer. H, Romeo.K
Working Group Names and Leads have been confirmed:
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Possible Discussion about third working group Discussion about LFAI day in Paris More next steps Will begin recording meetings in future calls. Notes from call: https://github.com/lfai/trusted-ai/blob/master/committee-meeting-notes/notes-20190919.md |