Why would we, as academics, be eager to use and advertise this kind of product?
Maybe we, academics, have become so accustomed to offloading our thinking to machine learning algorithms that we cannot think critically anymore (see e.g. Spanton and Guest, 2021; Guest and Martin, 2022; van Rooij, 2020), making us susceptible to believe false, misleading and hyped claims? Or maybe we are afraid to exercise our independent decision making capacity and say “No” to automated bias, hype, misinformation and otherwise harmful technology? Or maybe privileged academics are just fine with enabling the agendas of multimillion dollar companies founded by people motivated by capitalist and bigoted ideologies? Or maybe a mix of these things?
Schlagwort: Wissenschaft
Stop the hAIpe.
Novelteach.
You should also use “lack of novelty” as a criterion with caution. Almost nothing of value is ever truly new, and many good ideas need repeated reinforcement to catch on. Let’s focus on what the paper contributes to the community, not to the archive of facts.
Edward Lee: The Toxic Culture of Rejection in Computer Science
Impact.
I’m merely pointing out that in today’s climate relating your work to defense is the best way to obtain funding.
Neal Stephenson: The Big U
Warkeynote.
No scholar should ever have to preface their keynote speech with "If I receive an air raid alert, I will have to leave my talk and go take shelter."
Chocolaffice.
It must have had something to do with that here he could drink chocolate. Moreover, he could move about, talk to people, and attend to what he found interesting.
Neal Stephenson: The System of the World