Why self-explanation and out-of-distribution detection are key to building more trustworthy AI

  Рет қаралды 73

Dan Elton

Dan Elton

Күн бұрын

Original title : "Why Self-explanation and Applicability Domain Analysis Are Key To Building More Robust And Trustworthy AI Systems"
Based partially on this paper:
arxiv.org/abs/2002.05149
Daniel Elton, Ph.D.
Presentation for the INFORMS 2020conference, recorded on 10-12-20

Пікірлер
François Chollet - Creating Keras 3
1:05:32
TensorFlow
Рет қаралды 16 М.
Out-Of-distribution Detection Is Not all You Need
14:55
Joris Guerin
Рет қаралды 2,3 М.
2000000❤️⚽️#shorts #thankyou
00:20
あしざるFC
Рет қаралды 16 МЛН
Must-have gadget for every toilet! 🤩 #gadget
00:27
GiGaZoom
Рет қаралды 4,4 МЛН
小女孩把路人当成离世的妈妈,太感人了.#short #angel #clown
00:53
What I have learned from teaching with AI
35:37
Centre for Innovation in Teaching and Learning (CITL)
Рет қаралды 3,4 М.
Kubernetes Tutorial for Beginners [FULL COURSE in 4 Hours]
3:36:55
TechWorld with Nana
Рет қаралды 8 МЛН
Season 1 Ep. 22 OpenAI's Ilya Sutskever: The man who made AI work
1:18:56
The Robot Brains Podcast
Рет қаралды 165 М.
2000000❤️⚽️#shorts #thankyou
00:20
あしざるFC
Рет қаралды 16 МЛН