Algorithms, errors and police

 
 
Flee
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Flee
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Last Edit: January 11, 2018, 11:34:19 AM by Flee


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Last Edit: January 11, 2018, 06:51:05 PM by Zen


 
 
Flee
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MyNameIsCharlie | Mythic Inconceivable!
 
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Get of my lawn
So Garbage In, Garbage Out.

Police tend to work high crime areas and one would think only those areas have drug issues. Unless everywhere is polled, you couldn't draw any usable data out. You only see where the police are.


 
 
Flee
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Last Edit: January 13, 2018, 10:24:25 PM by Zen


 
 
Flee
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Flee
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Last Edit: January 14, 2018, 07:56:53 AM by Flee


 
 
Flee
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Last Edit: January 14, 2018, 06:39:40 PM by Flee


 
 
Flee
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Excuse me, I'm full of dog poison
Can I get a tldr?


 
 
Flee
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Can I get a tldr?
Advanced analytical systems and AI are increasingly being used to support policy being drafted and decisions being made about people, including in the area of law enforcement and criminal justice. While very beneficial in several ways, these new technologies also come with risks. The design of the system itself can be flawed, but equally realistic is that "bias" from big data will find its way into the AI that is supposed to learn from it. AIs are created to detect patterns and apply them back into practice. This not only risks decisions about an individual person being made largely on the basis of a profile based on how people like him are expected to act, but also perpetuating current inequalities and problems. If prejudice or other societal factors leads to cops disproportionately targeting black people in "random" vehicle stops and patdowns, an AI learning from police records and arrest data can easily pick up on the relation between race and police encounters. From this data, it can draw the conclusion that black people are more likely to be criminals than whites, and that blacks should therefore be considered as more likely suspects for unsolved crimes or be subject to even more scrutiny. When presented with two identical people of the exact same background and profile (with the only difference being that one is white and the other is black), the police AI will then pick out the black guy as the likely offender because that's what it learned from (potentially biased and flawed) arrest data in the past. This is a major issue as it can decrease social mobility, exacerbate inequality and result in blatantly unfair treatment of people. It's made worse because it's done by a super intelligent computer that people are unlikely to doubt (as they believe it's hard maths and completely objective) and that's very difficult to hold accountable or assess on errors and bias (due to how complex, inaccessible and secretive these systems are).

Why are we listening to computers?


 
 
Flee
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Why are we listening to computers?
We already are. Every time you get into a car you trust computers to tell you how fast you're going and whether it's safe to cross the street when the light's green. Every time you sign into your PC or console and log in to a secure service, you trust that the computer isn't sending your payments to a scammer and your personal information to a hacker. It's just becoming more pervasive.

There's a lot of reasons why this is taking off the way it is. Big data analytics and predictive computing can be used very effectively for a lot of good things. It can detect and predict the spread of infectious diseases before any human could. It can pick up on possible terrorist attacks before they happen. It can pick up on patterns investigators might miss to solve cases and fight crime. It can help businesses and government allocate their resources more effectively and free up precious time and commodities to spend elsewhere. It can automate tasks and improve the economy. It can assist researchers everywhere to map and address the consequences of global warming, polution and international conflict. It can help delivery companies route their trucks better, medical businesses cure diseases faster and cities cut down on littering and traffic accidents more efficiently. It creates fun, new technologies like automatic drones, self-driving cars and image recognition that lets computers identify what is in a picture and improve search engines. There's untold reasons why computers can help us make decisions. Problem is that as with many new things, it's not all safe.

All of these things use data that has been collected from humans and therefore imperfect. The real problem is that machines can't feel like humans can and will likely go to extremes that humans recognize as unsafe or irresponsible.

Artificial intelligence will likely be the downfall of mankind and I for one do not welcome our circuited overlords.

Will we never learn flee?


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Flee
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Flee
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It seems there is no back up plan if the EU turns into a fourth Reich. In the US people have guns if the government starts oppressing people.


 
 
Flee
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Last Edit: January 16, 2018, 03:22:45 PM by Flee


Genghis Khan | Heroic Unstoppable!
 
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It seems there is no back up plan if the EU turns into a fourth Reich. In the US people have guns if the government starts oppressing people.
But how can the EU turn tyrannical when Muslim immigrants are going to tear down the government and turned the entire country into a barren wasteland controlled by Sharia law in the first place?




 
 
Flee
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ayy lmao
All of these things use data that has been collected from humans and therefore imperfect. The real problem is that machines can't feel like humans can and will likely go to extremes that humans recognize as unsafe or irresponsible.

Artificial intelligence will likely be the downfall of mankind and I for one do not welcome our circuited overlords.

Will we never learn flee?
I agree with the first part but not so much the second. I think AI can be a huge force for good. We just need to be very careful and mindful from this point out. Advanced analytics need to be accountable, transparent and auditable. They need to be able to justify why they arrived at certain outcomes and how they analyzed data. Safeguards, alert mechanisms, supervised and fair learning need to be standard and mandated by law. Independent and technically capable oversight bodies need to have access and sufficient power to scrutinize commercial and governmental dealings. The EU is taking steps towards this with its Resolutions on Big Data and Robotics as well as its new General Data Protection Regulation, but this also needs to catch on in the US (as it has in NYC where the first transparent algorithms bill was recently adopted). We can't shut down these technologies and it's probably not in our best interests to do so either. We shouldn't be overly paranoid and shun them because of unlikely doomsday scenarios, but we should also show some serious restraint and take the proper steps to think this through and mitigate or avoid potentially negative consequences.
So basically, FOSS software will save humanity?

/g/ was right all along


Dietrich Six | Mythic Inconceivable!
 
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Excuse me, I'm full of dog poison
All of these things use data that has been collected from humans and therefore imperfect. The real problem is that machines can't feel like humans can and will likely go to extremes that humans recognize as unsafe or irresponsible.

Artificial intelligence will likely be the downfall of mankind and I for one do not welcome our circuited overlords.

Will we never learn flee?
I agree with the first part but not so much the second. I think AI can be a huge force for good. We just need to be very careful and mindful from this point out. Advanced analytics need to be accountable, transparent and auditable. They need to be able to justify why they arrived at certain outcomes and how they analyzed data. Safeguards, alert mechanisms, supervised and fair learning need to be standard and mandated by law. Independent and technically capable oversight bodies need to have access and sufficient power to scrutinize commercial and governmental dealings. The EU is taking steps towards this with its Resolutions on Big Data and Robotics as well as its new General Data Protection Regulation, but this also needs to catch on in the US (as it has in NYC where the first transparent algorithms bill was recently adopted). We can't shut down these technologies and it's probably not in our best interests to do so either. We shouldn't be overly paranoid and shun them because of unlikely doomsday scenarios, but we should also show some serious restraint and take the proper steps to think this through and mitigate or avoid potentially negative consequences.

When you play God you just ensure you meet him sooner.


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