THE VIDEO SHELF · security and ml skepticism
USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
James Mickens's humorous USENIX Security keynote argues that improving security and trusting opaque technology like machine learning is far harder than the industry admits.
Why HN readers recommended it
HN considers it a classic, hilarious and sobering talk on ML inscrutability and tech hubris, often rewatched.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- USENIX
- Topic
- security and ml skepticism
- Format
- talk
- Level
- general
- HN recommenders in dataset
- 10
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2018–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
I've always been a fan of his talks. His keynote at USENIX Security 2018 is by far the best summation of the dangers of ML that I've ever seen. It's hilarious too. [VIDEO]
_wldu on Hacker News · 2019-10
In James Mickens’ Tenure AnnouncementNearly all talks by James Mickens are a laugh a minute. The guy is the only computer science standup comedian I have ever encountered. He is also technically excellent. This one is a classic: [VIDEO]
jamesblonde on Hacker News · 2024-01
In Ask HN: What talks do you consider real gems?> ML models is most often inscrutable, with the consequence that decisions taken by ML models cannot be fathomed by human decision makers Yup, James Mickens planted this seed 6 years ago, well worth the watch, even if you already agree it's brilliant cathartic humour …
tomxor on Hacker News · 2024-07
In Explainability is not a game
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.