The Ethics of Teaching AI to Lie: Should Machines Ever Deceive?
Published October 30, 2025
At a glance
Views
148
Likes
0
Comments
0
Performance vs. channel
All-time outlier score
Engagement rate
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About
What happens when machines learn to bend the truth? 🤖⚖️ In this video, we explore the ethical dilemma of teaching AI to lie — from harmless deception in games to serious implications in politics, warfare, and everyday tech. Can lying AI ever be justified? Or does it cross a line we can’t come back from? Join us as we …
- Published
- October 30, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How The Ethics of Teaching AI to Lie: Should Machines Ever Deceive? is doing
It has 148 views in total. It ranks #14,444,109 among tracked YouTube videos by views.
Key facts about The Ethics of Teaching AI to Lie: Should Machines Ever Deceive?
- Total views
- 148
- Total likes
- 0
- Total comments
- 0
- Published
- October 30, 2025
- Global rank by views
- #14,444,109
Frequently asked questions
How many views does The Ethics of Teaching AI to Lie: Should Machines Ever Deceive? have?
The Ethics of Teaching AI to Lie: Should Machines Ever Deceive? has 148 views, ranking #14,444,109 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
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