Thanks! Happy to chat as well, both @malik-khadar.bsky.social and I are around at CSCW. :)

Paper Link: dl.acm.org/doi/10.1145/...

Paper link: harmanpk.github.io/Papers/CHI20...

Interestingly, when using these tools to generate artifacts, all levels consistently noted genAI outputs were not sufficient. We think this novelty bias towards AI is changing jobs when there's very little nuanced understanding of where generative AI can actually support designers *in practice.*

Differences in these cross-level stakeholders' value systems were stark, with professionals resigned to shifting job requirements and worried about what foundational design skills will look like going forward. This is not entirely surprising, though significantly present across all questions asked.

Last week I gave a talk titled "When Data Is People: Ethics, Privacy and Ownership in Research & AI Uses of Public Data" that tied together this research ethics work with generative AI training data and also copyright. Here's one of the final slides.