Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence
Augmented intelligence—as the fusion of human and artificial intelligence—is effectively being employed in response to a spectrum of risks and crimes that stem from the online sexual exploitation marketplace. As part of a study that was sponsored by the National Institute of Justice, the National Ce...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Societies |
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| Online Access: | https://www.mdpi.com/2075-4698/13/4/94 |
| _version_ | 1797603442020057088 |
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| author | Marcel Van der Watt |
| author_facet | Marcel Van der Watt |
| author_sort | Marcel Van der Watt |
| collection | DOAJ |
| description | Augmented intelligence—as the fusion of human and artificial intelligence—is effectively being employed in response to a spectrum of risks and crimes that stem from the online sexual exploitation marketplace. As part of a study that was sponsored by the National Institute of Justice, the National Center on Sexual Exploitation has documented 15 tactics that have been used in more than 2650 US cities and counties to deter sex buyers from engaging with prostitution and sex trafficking systems. One of these tactics, technology-based enforcement and deterrence methods, has been used in more than 78 locations in the United States. This paper explores the issue of technology-facilitated trafficking in the online sexual exploitation marketplace and juxtaposes this with the use of augmented intelligence in collaborative responses to these crimes. Illustrative case studies are presented that describe how two organizations employ technology that utilizes the complementary strengths of humans and machines to deter sex buyers at the point of purchase. The human(e) touch of these organizations, combined with artificial intelligence, natural language processing, constructed websites, photos, and mobile technology, show significant potential for operational scaling, and provide a template for consideration by law enforcement agencies, criminal justice systems, and the larger multidisciplinary counter-trafficking community for collaborative replication in other settings. |
| first_indexed | 2024-03-11T04:32:11Z |
| format | Article |
| id | doaj.art-935a0579871845a1a686eb5835b2fa42 |
| institution | Directory Open Access Journal |
| issn | 2075-4698 |
| language | English |
| last_indexed | 2024-03-11T04:32:11Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Societies |
| spelling | doaj.art-935a0579871845a1a686eb5835b2fa422023-11-17T21:21:30ZengMDPI AGSocieties2075-46982023-04-011349410.3390/soc13040094Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented IntelligenceMarcel Van der Watt0National Center on Sexual Exploitation, Washington, DC 20004, USAAugmented intelligence—as the fusion of human and artificial intelligence—is effectively being employed in response to a spectrum of risks and crimes that stem from the online sexual exploitation marketplace. As part of a study that was sponsored by the National Institute of Justice, the National Center on Sexual Exploitation has documented 15 tactics that have been used in more than 2650 US cities and counties to deter sex buyers from engaging with prostitution and sex trafficking systems. One of these tactics, technology-based enforcement and deterrence methods, has been used in more than 78 locations in the United States. This paper explores the issue of technology-facilitated trafficking in the online sexual exploitation marketplace and juxtaposes this with the use of augmented intelligence in collaborative responses to these crimes. Illustrative case studies are presented that describe how two organizations employ technology that utilizes the complementary strengths of humans and machines to deter sex buyers at the point of purchase. The human(e) touch of these organizations, combined with artificial intelligence, natural language processing, constructed websites, photos, and mobile technology, show significant potential for operational scaling, and provide a template for consideration by law enforcement agencies, criminal justice systems, and the larger multidisciplinary counter-trafficking community for collaborative replication in other settings.https://www.mdpi.com/2075-4698/13/4/94artificial intelligenceaugmented intelligencedemand reductionprostitutionsex traffickingtechnology |
| spellingShingle | Marcel Van der Watt Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence Societies artificial intelligence augmented intelligence demand reduction prostitution sex trafficking technology |
| title | Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence |
| title_full | Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence |
| title_fullStr | Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence |
| title_full_unstemmed | Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence |
| title_short | Discouraging the Demand That Fosters Sex Trafficking: Collaboration through Augmented Intelligence |
| title_sort | discouraging the demand that fosters sex trafficking collaboration through augmented intelligence |
| topic | artificial intelligence augmented intelligence demand reduction prostitution sex trafficking technology |
| url | https://www.mdpi.com/2075-4698/13/4/94 |
| work_keys_str_mv | AT marcelvanderwatt discouragingthedemandthatfosterssextraffickingcollaborationthroughaugmentedintelligence |