Systemic Analysis of the use of Artificial Intelligence (AI) In Regulating Terrorist Content on Social Media Ecosystem Using Functional Dependency Network Analysis (FDNA)

Authors

Alaina Roman, Old Dominion UniversityFollow
C. Ariel Pinto, Old Dominion UniversityFollow

Disciplines

Risk Analysis | Systems Engineering

Publication Date

2020

Document Type

Article

DOI

10.25778/75E6-2612

Abstract

This research is a systemic analysis of emerging risks to the use Artificial Intelligence (AI) in regulating terrorist content on social media ecosystems using Functional Dependency Network Analysis (FDNA), a proven system-design-and-analysis tool). The research has three phases: 1) framing the problem by identifying and describing AI ecosystem elements as intended, implied and explicit objectives, discernible attributes, and performance indictors; 2) describing the idealized problem-solved scenario, which includes detailing ‘success’ states of the ecosystem; and 3) systemic risk analysis including identifying failure scenarios for each element and establishing causalities among elemental attributes leading to failure scenarios. This research contributes toward a sustainable and more robust solution to the issue of regulating one particular form of malicious content on social media platforms (i.e., terrorist content) based not on one perspective but on the entire ‘ecosystem’ using FDNA.

Recommended Citation

Roman, Alaina and Pinto, C. Ariel (2020) "Systemic Analysis of the use of Artificial Intelligence (AI) In Regulating Terrorist Content on Social Media Ecosystem Using Functional Dependency Network Analysis (FDNA)," OUR Journal: ODU Undergraduate Research Journal: Vol. 7, Article 7.
DOI: 10.25778/75E6-2612
Available at: https://digitalcommons.odu.edu/ourj/vol7/iss1/7