What is the concept of harm in AI systems?
— The concept of harm in AI systems refers to when an action causes a negative outcome and there is a possibility of a better outcome if a different decision had been made.
Why is defining harm important in autonomous cars?
— Defining harm in autonomous cars is important to determine responsibility and liability in situations involving accidents caused by these cars.
What are the options for an autonomous car when faced with a stationary car on the road?
— An autonomous car has three options when faced with a stationary car on the road: alert the distracted driver, do nothing and crash into the car, or take another action.
Can harm be quantified in AI systems?
— Yes, harm in AI systems can be quantified in order to determine insurance premiums and assess the impact of decisions made by the system.
How does the concept of harm relate to utility and probability of success?
— The concept of harm in AI systems is closely related to utility and probability of success, as different treatments can either harm or benefit individuals based on their utility and the likelihood of success.
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