The two different uses or applications of data that is biases in word embeddings and may cause significant ethical harms are:
- Class immobility
- Systemic racism
<h3>What are the
biases in word embedding?</h3>
Word embeddings is known to be made up of a high level bias such as group stereotypes and prejudice.
The two different uses or applications of data that is biases in word embeddings and may cause significant ethical harms are:
Class immobility
Learn more about biases from
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False False true
Hope it helps
Not naming countries or people, but its mostly Nation State Actors / Hactivits. Eh, not sure about hactivits but mostly Nation state actors.
Answer:
A. A nation-state.
Explanation:
Given that a nation-state attack if successful is about having access to the different sector or industries of networks, then followed it by compromising, defrauding, altering (often for fraud purpose, or destroy information
Therefore, in this case, considering the information giving above, the type of malicious actor that is MOST likely behind this attack is "a Nation-State."
