4 key questions to challenge your views on genetic engineering
New research shows how Americans feel about genetic engineering, human enhancement and automation.
- A review of Pew Research studies reveals the views of Americans on the role of science in society.
- 4 key questions were asked to gauge feelings on genetic engineering, automation and human enhancement.
- Americans are split in how they view technology and many worry about its growing role.
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Why are so few people born on Christmas Day, New Year’s and other holidays?
Christmas Day is the least popular birthday in several countries.
Christmas and New Year's are days of celebration in many parts of the world when people gather with family and friends. One thing many typically don't celebrate on those days is a birthday.
You should be skeptical when it comes to hyped-up AI. Here’s why.
These questions can help us think more critically about new developments in artificial intelligence.
- The media often exaggerate and overhype the latest discoveries in artificial intelligence.
- It's important to add context to new findings by asking questions: Is there a demo available? How narrow was the task the computer performed?
- A more robust approach to artificial intelligence involves solving problems in generalized situations rather than just laboratory demonstrations.
The biggest problem in AI? Machines have no common sense.
Correlation doesn't equal causation — we all know this. Well, except robots.
- There are a lot of people in the tech world who think that if we collect as much data possible, and run a lot of statistics, that we will be able to develop robots where artificial "intelligence" organically emerges.
- However, many A.I.'s that currently exist aren't close to being "intelligent," it's difficult to even program common sense into them. The reason for this is because correlation doesn't always equal causation — robots that operate on correlation alone may have skewed algorithms in which to operate in the real world.
- When it comes to performing simple tasks, such as opening a door, we currently don't know how to encode that information — the varied process that is sometimes required in differing situations, i.e. jiggling the key, turning the key just right — into a language that a computer can understand.
Gary Marcus is the author of Rebooting AI: Building Artificial Intelligence We Can Trust.
