TED Radio Hour

What's In A Face

5 snips
Dec 9, 2022
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Episode notes
1
Introduction
00:00 • 2min
2
How Do You Recognize Faces?
01:45 • 2min
3
Is Your Super-Recogniser a Crime-Abiding Experience?
03:37 • 2min
4
Facial Recognition - What's in a Face?
05:24 • 2min
5
How to Analyze the Faces of Stock Market Traders
07:13 • 2min
6
FaceWatch
08:53 • 2min
7
The Problem With Mass Surveillance Systems
10:50 • 2min
8
What's in a Face?
12:23 • 2min
9
What's in a Face? And How Companies Will Use It to Make Money?
14:18 • 2min
10
Is Facial Recognition a Convenient Service?
15:54 • 2min
11
Are We Just at the Point of No Return?
17:43 • 2min
12
What's in a Face?
20:01 • 2min
13
The New Face Reenactment Technique
21:34 • 1min
14
How to Make a Movie Look Real
23:03 • 2min
15
Putting Faces on Technology
24:36 • 2min
16
Digital Human Sign Language for the Deaf
26:51 • 1min
17
The Uncanny Valley
28:20 • 2min
18
How to Make a Virtual Human?
29:52 • 2min
19
The Ethical Dilemma of Giving Our Technology a Face
31:30 • 2min
20
What's in a Face?
33:42 • 3min
21
Is There a General AI Intelligence?
36:24 • 2min
22
What's in a Face?
38:05 • 2min
23
Identifying Uyghurs Using Face Recognition Software
39:40 • 2min
24
What Ifs Come True in Xinjiang?
41:38 • 3min
25
Finding Camps in Xinjiang
44:16 • 2min
26
The Mask Tiles in Da Ban Chiang, Xinjiang
45:49 • 2min
27
How Did China Respond to the Xinjiang Camps?
48:02 • 4min