dingaaling
commented
7 months ago Open questions from 6 Oct (with @f-rower & @S-Laher):
- Capabilities approach is theoretically interesting, but how do you operationalise?
- How do we improve the user experience of better data and AI practices (e.g. opt in to data cookies)?
- Addressing feeling of learned hopelessness vs. empowerment?
- Who needs to be on the team (or as a partner) to ^ address these questions beyond academics (e.g. designers, engagement experts)?
- @S-Laher mentioned that generally outputs focus on academic paper or white papers which is primarily used as PR or "putting marker in the ground" but background in teaching could bring unqiue expertise to help differentiate to have the most impact
- @f-rower mentions how they considered changing the PitchFest prompt this year to orient more around accessible communication, but instead the team has decided to focus on diversifying the judging panel; also brings up the point on how AI has become a public topic so many more aware of capabilities
- @aranas working on a CDT training about how to write abstract in layman's terms - could be a training session for PitchFest participants
- @f-rower brings up the point about how do you measure expertise in something like "AI"? @S-Laher points out that titles don't always convey expertise especially when "AI" is something so broad. Perhaps better to focus on their background/experience as a way to identify what their expertise is and points out the Wired compilation of "5 levels of explanation" to show the range
- Balance between retaining control of your research/aligning with KPIs of grant vs. more radical allowing participants to define the research questions; one way to keep both is to factor in 25% of time to ensure the participant input feeds into research roadmap
- @S-Laher mentioned how do we truely obtain an organisations position from the representative that participates in research activities? Questions we as researchers should consider, are they cleared to speak for the whole organisation? are they knowlegable in the subject area? To assist in this process should we have some pre-engagement task? e.g., if the representative is invited to a roundtable or being interviewed on behalf of the organisation should they have already canvased opinions from knowlegable colleagues in their organisation or conducted a research activity of their own? There is tradeoff here to consider in the amount of work one has to do before attending may affect who participates.
harisood
aldenc
Summary
Link to paper: https://arxiv.org/pdf/2105.01774.pdf
Detail
A thread to share thoughts on the above paper, and if/how we want to use it to shape Project RAM
Intended Output
Agreement on how this will shape Project RAM
Who can help
Anyone
Updates