IKEA dives into world of Artificial Intelligence
thememo.com
thememo.com
It's a little worrying that people think an AI should "reflect your values and worldview." Maybe a more appropriate approach to modeling artificial intelligence would be how they are described in Iain M. Banks' the Culture series. [2]
> Although drones are artificial, the parameters that prescribe their minds are not rigidly constrained, and sentient drones are full individuals, with their own personalities, opinions and quirks.
1. http://doyouspeakhuman.com 2. https://en.wikipedia.org/wiki/The_Culture#Artificial
That's all that the people who are scared of AGI have been banging on forever. How do you give AI "human values?" It's non-sensical.
(A recent example was a system which predicted recidivism rates among ex-cons, which predicted based on its observed data that a particular demographic was much more likely to re-offend. Rather than asking accepting the result and trying to solve the problem, there was an outcry that the program was 'wrong' and must have been fed biased data.)
Another part of the problem is the historical over-policing of minorities (particularly blacks and hispanics) in the US and the lower economic class. It's easy to view them as more likely to be recidivists until you realize that the neighborhoods they're going back to have more than normal police presence and they're more likely to be picked up for "nuisance" crimes like jaywalking, public drunkenness, and loitering. This will skew the numbers substantially in these sorts of models when the police are (largely) not applying the same standards to white people or those from higher economic classes (or whose neighborhoods are less tolerant of such behavior so it's not seen as often to begin with).
> Proxies for race (such as where they live)
a proxy is only a proxy if there is bad intent, otherwise it is just correlation.
> This will skew the numbers substantially
Only if your analysis is as simplistic - otherwise you can afford to look into the reasons the discrepancy exists.
You suggest over-policing, or higher police scrutiny, results in more arrests - why does it not result in fewer "nuisance" crimes?
Those two questions seem like they are worded to elicit a positive answer. They don't give any hint who exactly "mistake" is defined and how the AI can be sure you actually have a need.
Why not use more neutral formulations - e.g. such as:
- should an AI perform certain actions on its own? - should an AI in certain situations prevent you from performing an action?