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50

tl;dr There are many valid reasons why people might fear (or better be concerned about) AI, not all involve robots and apocalyptic scenarios. To better illustrate these concerns, I'll try to split them into three categories. Conscious AI This is the type of AI that your question is referring to. A super-intelligent conscious AI that will destroy/enslave ...


20

You don't necessarily have to analyse it all. Just by having such data available you can achieve a lot in terms of surveillance, as long as you can retrieve relevant parts. A few years ago there was a Radiolab podcast, "The Eye in the Sky" (there's a full transcript on the site). The basic idea is that you have a plane circling a city 24/7, and filming what ...


15

Short term Physical accidents, e.g. due to industrial machinery, aircraft autopilot, self-driving cars. Especially in the case of unusual situations such as extreme weather or sensor failure. Typically an AI will function poorly under conditions where it has not been extensively tested. Social impacts such as reducing job availability, barriers for the ...


12

Lately with my Google searches, the AI model keeps auto filling the ending of my searches with: “...in Vietnamese” I can see how this would be annoying. I don't think Google's auto-complete algorithm and training data is publicly available. Also it changes frequently as they work to improve the service. As such, it is hard to tell what exactly is leading it ...


11

With AI technology at its current stage (or at least reasonably close to this stage), the jobs you proposed may very well be openings created by AI automation. However, sufficiently advanced AI technology--- the kind that can function as general purpose labor replacement--- will make even these jobs obsolete. This is because such an AI would be able to ...


10

I'd say the most successful are the ones so commonly used that we don't even notice them: The mail systems that automatically decipher handwritten addresses on your packages, they use machine vision and have probably been doing it since mid-90s. Algorithmic trading bots on stock markets - they handle something like 85% of all trades. Many modern CPUs use ...


10

One of the main arguments for self-driving cars is that presumably they'll get better and better at driving as the technology progresses, they have no temporal attention deficits or aggressive urges or drug habits and sense their environment 360°, all the while communicating with the other cars, which all together basically amounts to LESS DEAD PEOPLE. We ...


9

In addition to the other answers, I would like to add to nuking cookie factory example: Machine learning AIs basically try to fulfill a goal described by humans. For example, humans create an AI running a cookie factory. The goal they implement is to sell as many cookies as possible for the highest profitable margin. Now, imagine an AI which is ...


9

You would also want to consider physical limitations. If you are even storing 126 yottabyte of data per day, then if we look at the current theoretical densest data storage medium, DNA, at 215 petabytes per gram, we get... ${(126 * 10^{24}) \over (215 * 10^{15})} = 586046511$ grams per day 586046511 g = 586046 kg = 586 Metric Tonnes just for storage.


8

My favorite scenario for harm by AI involves not high intelligence, but low intelligence. Specifically, the grey goo hypothesis. This is where a self-replicating, automated process runs amok and converts all resources into copies of itself. The point here is that the AI is not "smart" in the sense of having high intelligence or general intelligence--it ...


8

The answer is really very simple. If you have the dystopian power over all the mobile devices in the first place, you would not make them send all their data over to any "global data storage" just like that. Instead, you would have put a local AI on each device that filters, processes, categorizes and flags the important parts, sending only those parts plus ...


7

There are multiple motivations for self driving cars. Self driving cars have the potential to be much safer. Self driving cars are far more reliable than humans and can learn and have their software improved and upgraded, resulting in safer roads and far fewer accidents. More on self-driving car safety: http://bigthink.com/ideafeed/googles-self-...


7

Here are my suggestions Her, the AI part (movie spoiler): Ex Machina the AI part (movie spoiler): Eagle Eye, the AI part (movie spoiler): Big Hero 6, the AI part (movie spoiler):


6

I have an example which goes in kinda the opposite direction of the public's fears, but is a very real thing, which I already see happening. It is not AI-specific, but I think it will get worse through AI. It is the problem of humans trusting the AI conclusions blindly in critical applications. We have many areas in which human experts are supposed to make ...


5

Automation Levels Most cars have some Level 1 automation, such as cruise control and various skid/flip probability reduction systems. Most high volume passenger vehicles have higher levels. Some military and private air, land, and sea equipment are already at Level 5. Level 4 requires that driving be automated during normal driving conditions, with manual ...


5

2001 (1968) HAL 9000 is a great example of an artificial general intelligence that goes astray, where the humans don't understand the reasoning process as values dis-align. (This is a nod to Asimov in the sense of humans not understanding the implications of a logical framework. Marvin Minsky was an adviser on the film.) BladeRunner (1982) The critical ...


5

They would probably have followed the same sequence we do: be amazed at the capabilities, ask how it is done, wonder whether this is really intelligence and (or) point out our narrow the performance was, require more next time to be impressed again.


5

I would say the biggest real threat would be the unbalancing/disrupting we are already seeing. The changes of putting 90% the country out of work are real, and the results (which will be even more uneven distribution of wealth) are terrifying if you think them through.


5

This only intents to be a complement to other answers so I will not discuss to possibility of AI trying to willingly enslave humanity. But a different risk is already here. I would call it unmastered technology. I have been teached science and technology, and IMHO, AI has by itself no notion of good and evil, nor freedom. But it is built and used by human ...


4

Why are self-driving cars awesome? Safety: better awareness (due to more sensors), better reaction time, fewer distracted/injured/drunk/texting drivers on the road, etc Convenience: pick up my kids from school, park itself at the grocery store, take itself to be serviced, etc Faster transit: with increased safety, you can increase speed limits, with proper ...


4

Given all your assumptions about AI turn out to be true, we would have some kind of utopia, where no one has to work, and there is plenty of everything. Fair enough. Your other assumptions is about human nature, and that is where I'd challenge your conclusion: Just because there are computers better than humans at some task, that does not automatically take ...


4

Will Artificial Intelligence some day become a problem to humanity after learning human behaviors and characteristics? It can be answered in both ways, I think. Yes, they may become a problem. With the increasing integration of loads of apps and smart devices in our life, almost everything defining an individual human being is digitalised. For instance, ...


4

+1 to previously mentioned job descriptions AI production overseers - People who will command AI to build and control mines and factories. It's like strategic game, but in the real world Explanation: AI even with the intellect of a bee and ability to understand/execute commands in combination with appropriate technologies will be enough to create robots, ...


4

AI Gatekeepers - Their job would be to make sure they (AI) don't accidentally become our overlords. :) AI Tax - so that replaced jobs are taxed at 30 percent to offset cost of supporting people on food stamp. AI Traders - Market place to sell AI Bots / Robots Update: I thought I'd clarify #2. I wasn't thinking of putting human into tax collection job and ...


4

One way to criticize the study could be to attack the data on which the study is based on. An image on a social network is not "neutral" (those are not ID photo) and certainly not images from a dating website (from which the data of the study come from). For example as a homosexual / heterosexual person you will perhaps put forward different attributes on ...


4

This has been studied pretty well academically. The most common study instrument is a survey of the opinions of AI researchers. The other mechanism is subjective assessment by business analysts about which sectors are most likely to be automated, using two criteria: ease of automation, and potential profit from automation (based on the size of the workforce)....


4

Another fallacy that appears common to most search engines is that anything a person searches on is an aspect of their own identity. I once searched on walk-in tubs for a very elderly relative, and was followed all over the web by ads for aids for the infirm elderly. Users who recognize that Google uses their searches to build their profile can alter their ...


4

My sense is that they would, based on a high-level take of Babbage and Lovelace's view of the potential capability of the "analytic engine". If Babbage's Tic-Tac-Toe machine had been built, I am sure that would have been regarded as machine intelligence. Nimatron (Edward Condon) may have been the first game AI, and the capability seems similar to what ...


4

Why can't we just feed the training data without data that we would consider discriminatory or irrelevant, for example, without fields for gender, race, etc., can AI still draw those prejudiced connections? If so, how? If not, why has this not been considered before? Yes. The AI/ model still can learn those prejudiced connections. Consider that you have a ...


4

I think one of the most real (ie. related to current, existing AIs) risks are in blindly relying on unsupervised AIs, for two reasons. 1. AI systems may degrade Physical error in AI systems may start producing wildly wrong results in regions in which they were not tested for because the physical system starts providing wrong values. This is sometimes ...


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