Prof Dr Computer Science—Artificial Intelligence, Software Engineering, AI ethics—Head of #CS Dept, Co-Director https://t.co/B7kXgCwcuG. Read me on Linked+In.
Nov 24, 2022 • 24 tweets • 6 min read
He contributes to the #AI image debacle from a position of power and research privilege. In my 34+ years in the field, it has never been so painful to watch a deterioration of research integrity voiced with such a disdain and lack of accountability, as @ylecun does. Unacceptable.
I've been witnessing the "battles" both around advancements in #AI and of the #AI silos since I entered into the field more than 30 years ago.
It has never been so sick and flawed as in the #DeepLearning and GPT-3 era.
1/
The intensity of the #AI battles varies depending on many factors.
They can boil around concrete examples of algorithms.
They even can explode when some concrete people either second or criticize them. It's either white or black, it's difficult to find gray tones in between.
2/
Jul 26, 2019 • 18 tweets • 13 min read
A "worrying analysis":
"18 [#deeplearning] algorithms ... presented at top-level research conferences ... Only 7 of them could be reproduced w/ reasonable effort ... 6 of them can often be outperformed w/ comparably simple heuristic methods."
2/ There is much concern about #reproducibility issues and flawed scientific practices in the #ML community in particular & #academia in general.
Both the issues and the concerns are not new.
Isn't it time to put an end to them?
Mar 9, 2019 • 7 tweets • 4 min read
In my opinion, the "I" in #AI has been vulgarly kidnapped and abused on many levels (including 'serious' research, sadly) for the sake of anticipated glory.
1/n
This has resulted in a tremendous disparity between how #intelligence in #machines is both perceived and understood by the public, and what does it truly mean (or could) in current human-made 'intelligent' artefacts. #AI
2/
