In a world where virtual interactions and digital connections rule the roost,
the deep and often frightening social landscapes are being profoundly altered by the
hidden complexity of artificial intelligence (AI). Explore “Uncovering the Dark Side of
AI in Social Networks” to take a trip through the pages and discover the hidden stories
of the digital world. The book provides a thorough knowledge of the intricate
interactions between artificial intelligence (AI), social networks, and human behavior
by fusing theoretical analysis with real-world case studies. Additionally, it provides
doable advice on how individuals, governments, and tech corporations may encourage
a more useful and ethical use of AI in the context of social networks. The book
attempts to create a meaningful dialogue and increase public awareness of the possible
risks related to artificial intelligence in social networks. By exposing the negative
aspects of AI, it hopes to inspire people, decision-makers, and tech innovators to assess
present procedures critically and take proactive steps to resolve the problems found.
The authors intend to foster a more ethical and responsible approach to the
development and deployment of AI algorithms within social networks.
Keywords: Challenges, Dark side of AI, Digital connection, Development and deployment of AI algorithms, Machine learning, Social networks.
