Pegah Moradi

@pegahmoradi.bsky.social

PhD candidate in Information Science at Cornell studying automation, ai, labor, and self-checkout đź›’ https://pegahmoradi.github.io/ (mostly crossposting from @moradipegah on X)

A coming flood of federal grant proposals will claim AI makes projects cheaper & better. Many will be empty promises. This admin needs to place the best bets it can on AI. For the Federation of American Scientists' Day One Project, my memo on AI grant governance fas.org/publication/...

Bring AI Governance to Competitive Grants

To tackle AI risks in grant spending, grant-making agencies should adopt trustworthy AI practices in their grant competitions and start enforcing them against reckless grantees.

fas.org

I spoke with @annlarson.bsky.social about how store tech can increase demands on frontline retail workers, for her latest in The Nation! Workers often have to make shoppers feel better when store tech frustrates or confuses them, making retail work more socially and relationally demanding:

Text from article: Automation may also have unintended social consequences. Pegah Moradi, a PhD candidate and researcher in Information Science at Cornell University, studies automation in retail. “When [an electronic shelf label] breaks down in the store,” she explained, “the worker has to repair the system even if they don’t have the technical expertise. The customer becomes frustrated: There is no price available, or why has the price changed? The burden falls on the employee to alleviate the tension of that situation.” The technology may put employees in the position of performing what Moradi calls “relationship management,” adding social pressure to service jobs but without additional pay or training.
The Nation Magazine@thenation.com · 2y ago

Electronic price labels are prone to malfunction, which forces employees to work harder to make it clear to shoppers what they would be charged at checkout. What is the logic of retailers spending money on glitchy technology that doesn’t improve service?