Pinned
My article on AI for science, in which I characterize a deviant notion of scientific objectivity rooted in the impossible ideal of theory-free inference, is available now open-access in Erkenntnis
Mel Andrews
871 posts
Mel Andrews
@bayesianboy
I’m not like the other Bayesians. I’m different.
Thinks about philosophy of science, AI ethics, machine learning, models, & metascience. postdoc @ Princeton.
- This is junk science that could be extremely harmful to vulnerable populations if ever deployed. AI facial analysis cannot infer latent psychological, personality, or behavioral features, and technology that pretends to have these capabilities is grossly unethical.“Data like this is incredibly rare for AI systems." Learn how #USF researchers are using AI to help diagnose childhood PTSD in @FuturityNews. Read more 🔽 futurity.org/facial-express…
- nothing like getting a PhD in some extremely niche subject only for it to become, overnight, the one thing every human being has a clinically bad opinion on.
- Chasing an academic career is optimizing for the narrowest imaginable market that is liable to simply implode at any given time and has no transferable skills or accolades.
- Hello friends, a life update is in order. I am now Dr. Andrews. I will spend the next two years at Princeton as a postdoctoral fellow. I am, however, still on the job market for something permanent.
- Princeton University policy mandates that you specify an emergency contact from the beyond
- Heartbreaking: this postdoc did not get the job they applied to several years ago and have no recollection of having applied to
- I went all the way to Mexico to give a keynote and all I got was this lousy t-shirt
- can’t believe I went to the trouble of getting a PhD and didn’t even get a sword out of it.
- What most offends me about liberalism is the pretense that systems and persons that explicitly value capital accumulation over human life can be politically moved on humanistic grounds. Appeals to humanity have no political efficacy here.
- I wish that everyone in the machine learning community understood that investing in, diverting their attention to, and parroting the hype on LLMs is the best possible way to ensure another AI winter and the complete and total irrelevance of their work in 5 years.
