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Microsoft created and released "Tay," an experimental Twitter chatbot. It was a conversation-
learning AI that was created to test various user scenarios. Tay, according to Microsoft, will become
smarter the more you converse with it. Sadly, Tay learned from hundreds of tweets and formed a
racist personality in less than 24 hours after its introduction.
There was no programming error or hacking for the consequences. The problem was that Tay did
exactly what it was designed to do. It started mimicking the users who were talking to it. It learned
from what was being fed to it without interpreting the inputs.
Facebook is developing an Artificial Intelligence design to understand user
emotions, identify objects in photos, and predict user actions.
Components of a Good AI System
Following is the pyramid of principles for building a good AI policy.
Ethical Concerns Related to the Adoption of the AI Systems
A significant amount of concern regarding the Artificial Intelligent systems arise from how it gets
adopted in the real world. The full potential of the technology can only be implemented if everyone
becomes a part of its network. An AI system is only as accurate and efficient as the amount of data
it learns from.
At the same time, fair and ethical use of this powerful technology is also very essential. Misuse of
these systems can lead to grave consequences and disasters that must be avoided at all costs.
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