Rahul Sam | Mel Andrews: Ontology of the Free Energy Principle and the Philosophy of Machine Learning @RahulSam | Uploaded July 2024 | Updated October 2024, 4 hours ago.
Mel Andrews is a philosopher of science who primarily focuses on machine learning and the role of mathematical and computational methods in scientific modelling. Mel is currently a predoctoral research associate at the Department of Machine Learning at Carnegie Mellon University and doing a PhD in philosophy of science at the University of Cincinnati. They are also a visiting scholar at the Australian National University and the University of Pittsburgh. In this episode, we discuss the philosophy of artificial intelligence and machine learning, AI ethics and safety, scientific and mathematical realism, the ontology of the free energy principle and critical theory's relationship to AI research.
You can find more of Andrews' work at mel-andrews.com and https://x.com/bayesianboy
RSam Podcast #43
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{Podcast}
Substack: rsampod.substack.com
Spotify: open.spotify.com/show/4ryEqjut4r6SMtfxLdM1Le
Anchor: https://anchor.fm/rahul-samaranayake
Available on other platforms at link.chtbl.com/PDBAf9Zd
{Website}
rahulsam.me
{Social Media}
instagram.com/name_is_rahul
substack.com/@trsam
https://x.com/trsam97
linkedin.com/in/rahul-samaranayake-981a9315b
{Reference Links}
link.springer.com/article/10.1007/s10539-021-09807-0
researchgate.net/profile/Mel-Andrews
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If the ideas I discuss in this channel evoke your interest, consider visiting theunhappyman.substack.com
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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.
Mel Andrews is a philosopher of science who primarily focuses on machine learning and the role of mathematical and computational methods in scientific modelling. Mel is currently a predoctoral research associate at the Department of Machine Learning at Carnegie Mellon University and doing a PhD in philosophy of science at the University of Cincinnati. They are also a visiting scholar at the Australian National University and the University of Pittsburgh. In this episode, we discuss the philosophy of artificial intelligence and machine learning, AI ethics and safety, scientific and mathematical realism, the ontology of the free energy principle and critical theory's relationship to AI research.
You can find more of Andrews' work at mel-andrews.com and https://x.com/bayesianboy
RSam Podcast #43
---------------------------------------
{Podcast}
Substack: rsampod.substack.com
Spotify: open.spotify.com/show/4ryEqjut4r6SMtfxLdM1Le
Anchor: https://anchor.fm/rahul-samaranayake
Available on other platforms at link.chtbl.com/PDBAf9Zd
{Website}
rahulsam.me
{Social Media}
instagram.com/name_is_rahul
substack.com/@trsam
https://x.com/trsam97
linkedin.com/in/rahul-samaranayake-981a9315b
{Reference Links}
link.springer.com/article/10.1007/s10539-021-09807-0
researchgate.net/profile/Mel-Andrews
---------------------------------------
If the ideas I discuss in this channel evoke your interest, consider visiting 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.