Video

Queensland Police's AI Experiments in Victim Identification

Paul Griffiths of Queensland Police on Gen AI's Potential in Identifying Fakes
Paul Griffiths, Victim Identification Manager, ARGOS, Queensland Police Service

The surge in deepfakes and AI-generated content poses challenges for online child sexual abuse investigators. The Queensland Police Service's victim identification department is addressing this issue by leveraging generative AI, which is used to distinguish authentic content from manipulated images, crucial for accurately identifying victims.

See Also: Rethinking Browser Security: From Risk to Asset

According to Paul Griffiths, victim identification manager, ARGOS, Queensland Police Service, the department is already using sophisticated image and data analysis tools that automatically detect child abuse from among the millions of images circulating on the dark web and those seized during the investigations. It also analyzes the metadata of images, aiding in tracing their origins and contexts.

Having identified the child abuse images, the next step is to detect whether it is a real image, an area where generative AI holds immense potential.

Griffiths also envisions advanced AI applications, including multi-lingual text analysis and sentiment analysis, to recognize patterns in the huge amounts of data that exist on the internet, including the dark web, and seized during investigations. This extends to recognizing connections between images, individuals, and linguistic similarities, showcasing AI's potential to reveal meaningful associations during investigations.

The department is currently experimenting with these advanced AI tools and testing them further for reliability and accuracy.

In this interview with ISMG, Griffiths also discussed:

  • Queensland Police's use of technology tools in victim identification;
  • Leveraging AI to detect deepfakes, do sentiment analysis and recognize patterns;
  • The ongoing debate around data privacy.

Working with Queensland Police Service since 2009, Griffiths ensures maximum benefit is achieved from the analysis of data seized from suspected child sex offenders and encountered during online investigations. He has spent much of his time investigating online child abuse.


About the Author

Shipra Malhotra

Shipra Malhotra

Managing Editor, ISMG

Malhotra has more than two decades of experience in technology journalism and public relations. She writes about enterprise technology and security-related issues and has worked at Biztech2.com, Dataquest and The Indian Express.




Around the Network

Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing cio.inc, you agree to our use of cookies.