Important piece by Vern Glaser and colleagues @tineadam Mehreen Ashraf“The potential devastating effect of using algorithms: rationality as preferred conduct and efficiency as preferred end taking over all other values, becoming ultimate values in and of themselves”

A great article on Saku Mantere that's worth reading! forbes.com/sites/karlmoor…

Nice new paper by Dean Shepherd, Stella Seyb, and Gerry George on how instantiating business models as formal, cognitive/linguistic, and real/physical boundary objects can help entrepreneurs identify and overcome business model incoherence. (1/3) journals.aom.org/doi/full/10.54…

This is an interesting look at the dark side of #AI from #UAlberta researcher Vern Glaser

For those of you doing research on technology entrepreneurship, the West Coast Research Symposium hosted by the University of Washington is a great venue to present research...here's the call for papers! thewcrs.wordpress.com/call-for-paper…

I'm looking forward to discussing our paper, The Biography of an Algorithm (with @lucianadadderio and @neilpollock), with the Practice and Process reading group in a couple of weeks (on 5/26)! Registration here: eventbrite.com/e/practice-and…

"Are we ready for #AI to raise the dead? ... This is not remotely the first time we’ve faced a we-can-but-should-we moment as a society ... It may even spawn a new concept: the right to remain dead." esquire.com/news-politics/…

The hype around ChapGPT masks an infrastructure that depends on humans to tag training data — for pennies — and a tech stack that is so costly to buy and operate that the scale required for break even is hard to imagine. theverge.com/features/23764…

The dark side of AI’s promised efficiencies: artificial intelligence can use data and algorithms in a way that prioritises rationality over values such as fairness and quality of education, University of Alberta’s Vern Glaser writes on #THECampus bit.ly/3DtBpg3

Is using commercially generated big data a way to build new theory? Is refusing to use it a sign of scholarly integrity? Lindebaum et al. & Glaser et al. offer differing views. Intro: bit.ly/4awu3Yi Point: bit.ly/3JiboDG Counterpoint: bit.ly/3vRKNtP