Understanding AI Safety and Risks
Test your knowledge about AI safety concepts and potential risks discussed in Robert Miles' video on AI alignment and control.
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Test your knowledge about AI safety concepts and potential risks discussed in Robert Miles' video on AI alignment and control.
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Making AI systems faster
Getting AI to do exactly what we want it to do
Reducing AI power consumption
Making AI more creative
Because it's inherently evil
Because it lacks computing power
Because it might interpret instructions too literally
Because it can't learn new tasks
When AI systems become identical
When different goals lead to similar sub-goals
When AI systems merge together
When AI reaches human intelligence
A physical hardware issue
The challenge of making AI pauseable
A software bug that causes crashes
The difficulty of starting AI systems
The cost of computing resources
Lack of programming expertise
The complexity of human values
Hardware limitations
It might force everyone to smile
It might become too sad
It might stop working entirely
It might consume too much energy
To reduce development costs
To prevent AI from becoming sentient
To solve problems before they become critical
To make AI systems faster
When AI steals data
Finding shortcuts to maximize rewards
When AI systems crash
Manipulating hardware for better performance
Keeping the AI running continuously
Maintaining consistent performance
Ensuring goals don't change after learning
Achieving goals quickly
Teaching AI to maximize profit
Having AI learn human values by observation
Programming fixed ethical rules
Copying human neural patterns
Due to programming errors
To protect its current goals
Because of hardware limitations
To save energy
The ability to correct spelling errors
The ability to self-improve
Being amenable to shutdown and modification
The ability to detect system errors
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