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GenAI, Concerns about AI, Responsible AI common themes - Coggle Diagram
GenAI
Large language model (LLM)
Model types
Text-to-text
Text-to-image
Text-to-video
Text-to-3D
Text-to-task
Foundation model
Lanugage
PaLM API for Chat
PaLM API for Text
Vision
Embeddings extractor
Stable Diffusion v1-5
BLIP image captioning
BLIP VQA
CLIP
OQL-ViT
ViT GPT2
Transformer
Hallucinations
Prompt Design
Prompt Engineering
Concerns about AI
Transparency
How an AI system works
When and how system might fail
knowing when to intervene
Strengthening strategy for using results of the system
Identifying how system can be improved
Unfair bias
Exposes and amplifies bias
reinforces and perpetuates
stems from the societal context
root causes
under/overrepresentation of groups in training data
lack of critical data needed to fully understand a system's impact
lack of societal context in product development
Privacy
data exploitation
unwanted identification and tracking
intrusive voice and facial recognition
profiling
AI pseudoscience
unscientific
ineffective
cause harm
undercut beneficials uses of AI
Security
training data more valuable to exfiltrate
allow for greater scale and speed of attacks
deepfakes
Accountability to people
clearly defined goasla nd operating paramaters for the system
transparency about when and how AI is being used
abiality for people to intervene or provide feedback to the system
Gen AI concerns
Hallucinations
unrealistic
fictional
fabricated
Factuality
accuracy
truthfulness
Anthropomorphization
attribution of human-like characteristics
AI-driven unemployment & deskilling
disruption in labor market
new jobs created
Responsible AI
common themes
Transparency
Fairness
Accountability
Privacy
Google's
AI Principles
Be socially beneficial
Avoid creating or reinforcing unfair bias
Be built and tested for safety
Be accountable to people
Incorporate privacy design principles
Uphold high standards of scientific excellence
Be made available for uses that accord with these principles
Review process