The increasing threat of Artificial personas and so called digitally generated people taking over political debates, manipulating public opinions, and flooding the Internet with political spam campaigns is of pressing concern and should be considered a war on democracy and a major threat to all global politics. Additionally, not all countries have the resources or the knowledge to deal with this threat especially if it is coming from super powers or other countries with different political ideology or opposing interests.
From your point of view, should there be an International organization charged with policing or deploying CopBots that will help monitor and come to their aid in the same way the human assistance is provided by the UN and the super powers during elections and political campaigning? Why or why not and try to substantiate your argument citing examples.
Yes, there should be an international organization charged with policing or deploying CopBots that will help monitor and come to their aid. Because humans can have control over the humans only. As if an Application is running we get to know what we can do with that but we can't find what's going in the background. Likewise, Nowadays Artificial personas (digitally generated people) are increasing as of the research towards the Data Science and AI is developing. As human can't monitor over the Internet there should be an organization with ChatBots or machines capable of continues monitoring of the Internet.
Cyber‑dependent and cyber‑enabled crimes do not respect traditional geographic boundaries and require new technical skills. Our digital footprints are now vast, which provides greater opportunities to solve the crime but imposes a huge investigative burden and challenges for current legal processes. Criminal techniques also continue to evolve, in particular through the use of new digital tools. Business and social innovation without considering the crime consequences creates new opportunities for crime and allows the development of new methods for perpetrating the crime.“we are still grappling with the explosion of the digital world”.
Examples:
1) After a high-profile string of identity thefts targeting elderly Panopticans, national police uncovered an international, online marketplace in which cybercriminals advertised and traded stolen identities across state lines. The forum was based on a website on the “dark web” that was not accessible through regular browsers or search engines but instead required special software to engage in real-time conversation and trading. The hidden nature of these forums frustrated law enforcement efforts and the lack of progress in bringing cybercriminal to justice produced anger among police, politicians and the general population. A public debate eventually erupted concerning the nation’s responsibility to protect its citizens from cybercrimes. This debate featured heavily in the parliamentary election with politicians, citizens and the media all demanding that the state take action to protect the nation’s most vulnerable members. In the end, voters endorsed the idea of increasing law enforcement capacity and action to combat online identity theft.
With this democratic mandate in hand, Panoptica’s law enforcement agencies teamed up with researchers at the University of Panoptica to develop a chatbot that could be used to identify cybercriminals. The chatbot, named JEREMY, worked by using natural language processing to learn how cybercriminals communicate in their online chat forums. JEREMY’s machine learning algorithm was then able to use collected data to convincingly engage in conversation with individuals suspected of committing or trading in identity theft. Focusing first on smaller “stepping stone” crimes (e.g. hacking), the system would eventually learn of major upcoming plots. In the process, JEREMY would also be assembling a dossier of evidence (including evidence of intent to commit cybercrimes) that could then be used in any future criminal proceedings. Unencumbered by human time and energy constraints, JEREMY could perform these functions efficiently and at a large scale. Even better, JEREMY was free of the human biases that undermine the fairness of some police work.
2) UK technology – from VR forensics training to AI firearms’ licensing, to image recognition, to new forms of community outreach and enablement
3) Spanish police’s use of drones to support situational awareness (and social media engagement)
4) A Canadian police service exploring the use of chatbots in police contact and other AI tools
5) US – models of academic and commercial partnership which have supported the development of predictive analytics (e.g. Dragonfly tool)
The increasing threat of Artificial personas and so called digitally generated people taking over political debates,...