AI Ethics Unnervingly Asking Whether AI Biases Are Insidiously Hiding Societal Power Dynamics, Including For AI Self-Driving Cars

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A bubbling up theory is that AI biases are reflections of hidden societal power dynamics, which has vital impacts for AI and AI Ethics, including the use case of self-driving cars.

Understanding The Levels Of Self-Driving Cars

Meanwhile, the Level 4 efforts are gradually trying to get some traction by undergoing very narrow and selective public roadway trials, though there is controversy over whether this testing should be allowed per se . With that clarification, you can envision that the AI driving system won’t natively somehow “know” about the facets of driving. Driving and all that it entails will need to be programmed as part of the hardware and software of the self-driving car.First, it is important to realize that not all AI self-driving cars are the same. Each automaker and self-driving tech firm is taking its approach to devising self-driving cars.

Contemplate the seemingly inconsequential question of where self-driving cars will be roaming to pick up passengers. This seems like an abundantly innocuous topic. Studies of how human drivers decide on stopping or not stopping for such pedestrians have suggested that sometimes the human drivers make the choice based on untoward biases. A human driver might eye the pedestrian and choose to not stop, even though they would have stopped had the pedestrian had a different appearance, such as based on race or gender.

 

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Also we need to take into account what biases the coders put into the A.I. or as the A.I. starts gathering data, that data will be bias. For instance if the A.I. looks into covid data, we know there have been manipulated data sets for narrative purposes. A.i. needs honest data

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