Piotr Migdał • 7/15/2019

Exploring human vs machine learning (one blogpost at a time)

Read Original

This article compares human and machine learning, discussing shared limitations like cognitive biases and logical fallacies. It argues for cross-pollination between cognitive science and AI to improve models, reduce social biases, and enhance safety. The author, a psychologist and ML teacher, also explains his motivation for using these comparisons as practical teaching tools.

0 comments
#Machine Learning #artificial intelligence #Neural Networks
Exploring human vs machine learning (one blogpost at a time)

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
Quoting Thariq Shihipar
Simon Willison • 2 votes
2
Top picks — 2026 January
Paweł Grzybek • 1 votes
3
In Praise of –dry-run
Henrik Warne • 1 votes
4
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár • 1 votes
5
Vibe coding your first iOS app
William Denniss • 1 votes
6
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
7
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes