Globally renowned safety providers from Trustpilot, Pasabi and major trust and safety operators have joined forces to roadmap the challenges presented by the adoption of AI tools by malicious actors.
Industry experts gathered at the Marketplace Risk event to discuss the evolving challenge of recognising authentic content in a ChatGPT World, including how ChatGPT is now being used to aid fraudsters and why behavioural analytics combined with content analysis are the most powerful tools for bad actor detection.
AI technology
Research also revealed that 82 percent of consumers have read a fake review in the last year
The session also explored how AI technology can be used to help automate content moderation at scale, and what considerations are necessary for platforms looking to tackle fake content and bad actors effectively.
The event’s panel consisted of Yu-Lan Scholliers, Head of Product at Checkstep, Chris Downie, CEO & Co-Founder of Pasabi, Anoop Joshi, VP Legal & Platform Integrity of Trustpilot, and Saray Covey, Technology Partner Development at Alliance to Counter Crime Online.
As consumers increasingly turn to online shopping, it was revealed that 95 percent of consumers base their purchase decisions upon online reviews. However, research has also revealed that 82 percent of consumers have read a fake review in the last year.
Countering the proliferation of fraudulent reviews
Chris Downie, CEO and Co-Founder of Pasabi, commented: "The proliferation of fraudulent reviews significantly impacts more than £130 million in annual online transactions. While regulators, such as the Competition and Markets Authority (CMA), are beginning to respond to this issue, it remains imperative for review platforms to take action to combat the challenge."
He adds, "A crucial aspect of efforts to tackle the rise of fraudulent threats involves a collaborative approach involving regulators, businesses and providers of fraud detection software to detect fake reviews and hold bad actors responsible. This will in turn help bolster consumer trust as well as business confidence.”
Find out the state of adoption, trends and opportunities with Artificial Intelligence (AI) in physical security.
- Biometrics
- Audio surveillance
- Office surveillance
- IP video surveillance
- Electronic security systems
- Office security systems
- Construction security systems
- Campus security systems
- Office security
- Application security
- Physical security
- Industrial security
- Aviation security
- Commercial security
- Perimeter security
- Healthcare security
- ATM Security
- Security management
- Security policy
- Security devices
- Security installation
- Security tagging
- Security access systems
- Facial recognition systems
- Network monitoring
- Asset tracking
- Remote video monitoring
- Electronic access control
- Identity management
- Building security
- Facility security
- Industrial security systems
- Wireless security
- License plate recognition
- Network cameras
- Door access control
- Security software
- IP Surveillance
- Industrial surveillance
- Human identification system
- Human area network
- Mobile surveillance
- Outdoor video surveillance
- Physical Security Information Management (PSIM)
- Indoor surveillance
- Day/Night surveillance
- IP security solutions
- Integration software
- Perimeter protection
- Cyber security
- Mobile communications
- Video Management System
- Cannabis and Security
- Internet of Things (IoT)
- Border Security
- Corporate Security
- Outdoor Security
- Indoor Security
- Data Security
- Digital Video Recorders
- IP transmission
- Incident Management
- Security Assessments
- Cloud security
- Artificial intelligence (AI)
- Mobile access
- Machine Learning
- Touchless Security
