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Deep Learning Help Create a Safer Online Environment

EasyChair Preprint no. 13037

5 pagesDate: April 18, 2024


As the internet becomes increasingly pervasive in daily life, ensuring a safe online environment has become paramount. Deep learning, a subset of artificial intelligence (AI), has emerged as a powerful tool in addressing various challenges related to online safety. This paper explores the role of deep learning in creating a safer online environment, focusing on its applications in detecting and mitigating cyber threats, combating online harassment and hate speech, and enhancing cybersecurity measures. By analyzing recent advancements and case studies, this paper highlights the effectiveness of deep learning algorithms in improving online safety. Additionally, it discusses the ethical implications and challenges associated with the use of deep learning in this context. Overall, this paper demonstrates the potential of deep learning to significantly enhance online safety and underscores the importance of continued research and innovation in this area.

Keyphrases: AI, deep learning, environment

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Abil Robert},
  title = {Deep Learning Help Create a Safer Online Environment},
  howpublished = {EasyChair Preprint no. 13037},

  year = {EasyChair, 2024}}
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