| dc.description.abstract | Human Trafficking has become one of the
most severe and topical concerns in everyday people’s
lives worldwide. Through incorporation of new
technology such as Artificial Intelligence (AI), it has
been given with various novel approaches. This paper
involves use of AI in combating Human Trafficking
with special reference to identification of victims by
the Thorn organization, focusing on the child sexual
exploitation. In this research, the investigation uses
qualitative case study research method; and this is
evident mainly in the literature analysis. Several key
success factors are also identified and brought out
again as the findings: the combination of AI with other
approaches,
the
efficiency
of
AI
related
methodologies, and integration of number of
methodologies. However, there are several issues
identified by authors such as quality and availability
of data, ethical issues of AI, question of how
algorithms perform or are prejudiced, question of how
far AI can go. The best practices highlighted therefore
involve catering to the feedback from the users, keen
ethical practices surrounding the AI and most
importantly being open to the best practices with the
flexibility to adapt those practices even encourage
people’s collaboration in the use of those measures.
Moreover, general recommendations to entire AI
spectrum in handling Human Trafficking was
discussed while providing specific recommendations
to Sri Lanka under five main themes of enhancing of
data collection, ethical AI practice, fostering
collaboration, improving adaptability and scaling of
AI solutions derived through Thorn case study.
Finally, it was concluded that the Thorn case study as
a success story where AI was abled to combat Human
Trafficking with having more opportunities to develop
customized platforms around the world. | en_US |
