AI and the Fight Against Human Trafficking: Securing Victim Identities and Disrupting Illicit Networks

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@article{1703361,
      author = {Oladoyin Akinsuli},
      title = {AI and the Fight Against Human Trafficking: Securing Victim Identities and Disrupting Illicit Networks},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {5},
      number = {10},
      pages = {287-303},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703361.pdf},
      abstract = {Human trafficking is still a major issue and continues to be a significant issue for societies and, of course, a continuous source of income for criminal structures around the world. Awareness of the core AI technologies relevant to the identification, tracking, and protection of personal data of victims of human trafficking is studied in this research. AI can continuously monitor, analyze, and track interactions, messages, or transactions that could endanger trafficking networks thanks to big data, natural language processing, and machine learning. A problem as to ethical use or concerns, data privacy questions, and a requirement for increased current AI utilization in law enforcement. This article also discusses how methods to improve victim identification and the efficacy of prescribed interventions against trafficking can be enhanced by case studies and a mixed-methods research design. The discovery sheds light on the best legal formulas and cooperative partnership formulas that are expected to herald competent use of Artificial Intelligence in suspecting human trafficking culprits and victims and further advance the contemporized prevention and protection paradigms.},
      keywords = {Artificial Intelligence, Human trafficking, Trafficking Cases, Facial Recognition, Privacy, Criminal investigations},
      month = {April},
  }