15 Oct 2024 - AI Readiness Meeting Agenda

ColinEberhardt commented 1 month ago

Date

15 Oct 2024

Zoom details

The AI readiness group is currently members-only, with meeting details shared via a private email list. To join the group, please contact membersuccess@finos.org.

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Agenda and minutes

we kicked-off by discussing various tidy-up tasks
- change meeting template to non chatham house
- ensure meetings are all marked as open and same format
we discussed marketing the newly public SIG
- next week, newsletter regular (6 weekly), which will have an announcement @karlmoll @lucaborella89 to action
@ColinEberhardt gave an overview of the current SIG activities and outputs
@eddie-knight described how the AI SIG and CCC collaborated at the OSFF conference. The take-away is that AI SIG output is highly compatible with CCC.
- A missing piece is the workflow, integrations points between CCC / Architecture as code, and various other related projects
- @karlmoll is also considering a hypothesis about further collaboration and integration, including Waltz and Morphir
There was further discussion about how we progress, potentially off-line sessions, creating a lightweight proposal
now that we have moved public, we should re-consider the meeting schedules / what works well / what doesn't
- @vicenteherrera suggested that a division between working meetings and open discussion, still makes a lot of sense
Rimma outlined the workshops we held pre OSFF
- one on finalising the governance framework
- the other on the bigger roadmap / long-term focus / responsible AI (potentially a separate working group)
Luca suggested to expand AI Readiness beyond risk and controls, now that we laid out the governance framework, towards Governance /Responsible AI
- Andy reminded the group about the importance of clear deadline + in-person days (+ optionally external pressure e.g. regulatory environment EU AI Act like) to deliver in the open
- Frederick mentioned accountability of the data, bias and fairness of the data, integration points, showing e.g. 1) how securing sensitive data can be incorporate, 2) how to "untrain" a model. Some use cases will be suggested