Artificial intelligence is perfect? No, it has these eight key challenges
This article is produced by NetEase Smart Studio (public number smartman 163). Focus on AI and read the next big era!
[NetEase smart news December 5 news] Amazon, Google, Apple and Facebook are rushing to develop artificial intelligence systems to serve us, connect us, help us, but there is also a point to increase their profits.
But the field of artificial intelligence currently faces at least eight huge challenges - most of which are not technical. Pilar Manchon, director of smart-cognitive interface research at Amazon Web Services, raised these challenges while on vacation at TechBeach in Jamaica the other day.
Not surprisingly, many of these challenges are related to data and its uses.
Manchon said: "We all like to have a real personal assistant around us to help us." "To achieve this, we must share a lot of private information."
The eight core challenges are:
1, cloud computing and edge computing
2, personalization and privacy
3, agent
4, security
5, trust and authorization
6, policy
7, data deviation
8, worry about the future
The first case is mainly about which method you use to develop artificial intelligence.
If used for personal development or completion of a single indicator, edge computing will be better, and its privacy and confidentiality are very good, but cloud computing can accommodate and use huge computing resources and larger data sets to solve problems.
This choice is related to the second challenge: personalization and privacy.
What we want is a personalized experience, but the cost of acquiring these experiences is to expose a large amount of private data to large companies such as Google, Amazon, Facebook, and Apple.
(Selected from: forbes compilation: NetEase See Compilation Robot Review: Fu Zeng)
Pay attention to NetEase smart public number (smartman163), obtain the latest report of artificial intelligence industry.
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