Malicious Learning has been introduced to encompass erroneous learning that occurs in Machine Learning when erroneous data enters the training sets deliberately or through noise or miscoding. In the social domain, the term counter-knowledge has been used to refer to misinformation, gossip, rumours, and conspiracy theories that masquerade as knowledge. Counter-knowledge leads to inappropriate individual [...]
