{"id":10888,"date":"2019-04-28T14:11:36","date_gmt":"2019-04-28T19:11:36","guid":{"rendered":"https:\/\/hilbertthm90.wordpress.com\/?p=10856"},"modified":"2022-06-21T12:16:19","modified_gmt":"2022-06-21T17:16:19","slug":"artificial-intelligence-future-risks-are-already-here","status":"publish","type":"post","link":"https:\/\/amindformadness.com\/2019\/04\/artificial-intelligence-future-risks-are-already-here\/","title":{"rendered":"Artificial Intelligence Future Risks are Already Here"},"content":{"rendered":"\n
This article will present the strongest argument I’ve ever heard about the dangers and risks of artificial intelligence to humanity.<\/p>\n\n\n\n
Namely, AI has already done serious, irreparable damage. <\/p>\n\n\n\n
People often ask: <\/p>\n\n\n\n
Why should we think AI could be dangerous? <\/strong><\/p>\n\n\n\n The answer is: Because it’s not some theoretical future Terminator-style machine that will destroy us. It’s happening now, and people aren’t even noticing.<\/p>\n\n\n\n People want to program human values into AI, but this article will show why that isn’t good enough. AI isn’t what you think it is.<\/p>\n\n\n\n I first heard this from Stuart Russell on the Sam Harris podcast. I’m shocked at how great of an argument it is. It shuts down every single argument about why there’s nothing to fear.<\/p>\n\n\n\n We’ll need a definition of artificial intelligence to proceed. Here’s the dictionary (American Heritage) definition:<\/p>\n\n\n\n The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. <\/p><\/blockquote>\n\n\n\n We don’t really need that technical of a definition for this article. We can narrow our focus to decision-making algorithms and still see how dangerous this is.<\/p>\n\n\n\n Here are some examples of decision-making AI (sometimes called recommendation engines):<\/p>\n\n\n\n As you see, the fears about a “general intelligence” aren’t needed. AI already runs a ton of our lives, so we have lots of case studies about how it affects humans.<\/p>\n\n\n\n We need a brief digression on how these algorithms work to understand this argument. I won’t get into any of the technical aspects of neural nets or specifics of these black boxes.<\/p>\n\n\n\n We can keep this really simple.<\/p>\n\n\n\n At the most basic level, these algorithms make a decision, then evaluate whether it was good, then update what they show you based on this information.<\/p>\n\n\n\n Take Netflix, for example. <\/p>\n\n\n\n Maybe it suggests a romantic comedy for you. If you never click on it, that was a failed suggestion. The algorithm updates to weight romantic comedies less. <\/p>\n\n\n\n It might periodically throw one in to double-check. If you still don’t click it, it gets even more confident you don’t want that type of content.<\/p>\n\n\n\n It might also take into account the “bounce rate.” This is where you click the movie, but you quickly turn it off. <\/p>\n\n\n\n If you usually watch that type of movie, the algorithm might use that information to decide it’s a “bad movie” or not exactly the type it thought it was.<\/p>\n\n\n\n Notice how the intent behind this algorithm is “good” (at least from the consumer point of view). <\/p>\n\n\n\n The AI uses this evaluation function to figure out what you want to see. You don’t have to waste time hunting through a bunch of crap or categories you don’t care about.<\/p>\n\n\n\n AI serves humans by saving them time.<\/p>\n\n\n\n Before going on, just try to imagine what it would mean to “program human values” into such a system. How would that even change what it’s doing at all?<\/p>\n\n\n\nArtificial Intelligence Definition and Examples<\/h2>\n\n\n\n
How AI Works<\/h2>\n\n\n\n
Hidden Incentives of Recommendation AI<\/h2>\n\n\n\n