The corruptive force of AI-generated advice

Artificial Intelligence (AI) is increasingly becoming a trusted advisor in people's lives. A new concern arises if AI persuades people to break ethical rules for profit... (read more)

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Methods used in the Paper


METHOD TYPE
Cosine Annealing
Learning Rate Schedules
Weight Decay
Regularization
Multi-Head Attention
Attention Modules
Discriminative Fine-Tuning
Fine-Tuning
GELU
Activation Functions
Attention Dropout
Regularization
Layer Normalization
Normalization
Dense Connections
Feedforward Networks
Adam
Stochastic Optimization
Linear Warmup With Cosine Annealing
Learning Rate Schedules
Scaled Dot-Product Attention
Attention Mechanisms
Softmax
Output Functions
BPE
Subword Segmentation
Dropout
Regularization
Residual Connection
Skip Connections
GPT-2
Transformers