Machine Learning Has a Pseudoscience Problem

Mel Andrews discusses their paper 'Ghosts in the Machine Learning: The Reanimation of Pseudoscience & its Ethical Repercussions' and explains why machine learning has a pseudoscience problem because of its misconceived epistemic status. Watch the full podcast here: https://youtu.be/I0yil_3dvjs?si=UYV1x3_IcYMqDcWo --------------------------------------- {Podcast} Substack: https://rsampod.substack.com/ Spotify: https://open.spotify.com/show/4ryEqjut4r6SMtfxLdM1Le Anchor: https://anchor.fm/rahul-samaranayake Available on other platforms at https://link.chtbl.com/PDBAf9Zd {Website} https://rahulsam.me/ {Social Media} https://www.instagram.com/name_is_rahul/ https://substack.com/@trsam/ https://x.com/trsam97 https://www.linkedin.com/in/rahul-samaranayake-981a9315b/ {Reference Links} https://x.com/bayesianboy/status/1805294328249499966 For the paper, message Mel at https://x.com/bayesianboy --------------------------------------- If the ideas I discuss in this channel evoke your interest, consider visiting https://theunhappyman.substack.com/ --------------------------------------- Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research. Fair use is a use permitted by copyright statutes that might otherwise be infringing. If you are or represent the copyright owner of materials used in this video and have a problem with the use of the related material, please email me at trahulsam@gmail.com, and we can sort it out. Thank you.