Raw LLM Responses
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G
*Here's the no-frills answer you asked for: Absolutely, Mr. Patel, if you sue he…
rdc_oi1ccrx
G
There are 3 general likely scenarios as we can conceive at this point , without …
ytc_UgwquaJ87…
G
I am sorry, don't loose your hair thinking about AI. Deal with the current gov s…
ytc_UgwXh5Nj7…
G
What this is, is that a guy does something, needs cash in an unfair world when i…
ytc_Ugy0_u1MO…
G
If an AI learns biased information, it will be more biased towards that informat…
ytr_UgwKTMRL0…
G
Humans Now: AI could be our companion,it could help us physically and emotionall…
ytc_UgwUloQ_R…
G
AI isn't shit depends on how you use it and this is a good example.…
ytc_UgwPzDWO4…
G
the best way to think about it. Every word you say to AI Is a library :) Avenues…
ytc_Ugy4fB4S1…
Comment
01 Introduction to Machine Learning
02 Telling the Computer What We Want
03 Starting with Python Notebooks and Colab
04 Decision Trees for Logical Rules
05 Neural Networks for Perceptual Rules
06 Opening the Black Box of a Neural Network
07 Bayesian Models for Probability Prediction
08 Genetic Algorithms for Evolved Rules
09 Nearest Neighbors for Using Similarity
10 The Fundamental Pitfall of Overfitting
11 Pitfalls in Applying Machine Learning
12 Clustering and Semi-Supervised Learning
13 Recommendations with Three Types of Learning
14 Games with Reinforcement Learning
15 Deep Learning for Computer Vision
16 Getting a Deep Learner Back on Track
17 Text Categorization with Words as Vectors
18 Deep Networks That Output Language
19 Making Stylistic Images with Deep Networks
20 Making Photorealistic Images with GANs
21 Deep Learning for Speech Recognition
22 Inverse Reinforcement Learning from People
23 The Unexpected Power of Over-Parameterization
24 Protecting Privacy within Machine Learning
25 Mastering the Machine Learning Process
youtube
AI Bias
2026-04-17T23:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyI5DD69Co8eVS1p7l4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxyCwz_FeoDH2YTvNh4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwZda54svnrax9AlmV4AaABAg","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"unclear"},
{"id":"ytc_UgwwgFBCACOXjH3PNOV4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxbJMkdGvvVxuIm0iB4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxgJniYuU50WWD2-Ap4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwOPUKAiU4N9sobYZd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"unclear"},
{"id":"ytc_UgxDhjC8L41zSailEVt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"unclear"},
{"id":"ytc_Ugz_dbfbgocFIF302N54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"unclear"},
{"id":"ytc_Ugytn5Q6eyR8ZJ6vqnF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]