Conduct Threatcasting Workshops to explore Digital Disruption in an Algorithm Driven, Cashless Environment

Abstract

Project Title: Digital Disruption in an Algorithm Driven, Cashless Environment Partnering Organizations: ASU Research Enterprise and Arizona State University Executive Summary: The future consequences of complex algorithm driven systems in everyday life continues to elude policy makers and systems developers. As more and more of everyday life becomes automated and online, algorithms, quantum computing and machine learning are going to have larger second and third order effects. This Threatcasting research will focus on forecasting the consequences for the economic systems should a major disruption occur in the global and US financial sectors. Additional considerations should account for the emergence of unbreakable encryption technologies such as blockchain and quantum encryption. Research Objective: The results of the Threatcasting process and workshop will provide the US Secret Service (USSS) a new and innovative perspective on the broad range of possible and potential threats at the intersection of automated financial transactions and cyber weapons. We will explore these threats in-depth and also outline the possible 2nd and 3rd order effects that might come from them. Additionally, the results will explore specific steps that can be taken today to disrupt, mitigate and recover from these threats. The output of Threatcasting also identifies not only actions that can be taken by USSS and other parties but also events, technologies and changes that could happen over the next decade that will indicate whether we are moving toward or away from the potential threats occurrence. Expected Outcomes: The final Threatcasting Materials will gather together the SME inputs, raw data developed by participants during the workshop, the Threatcasting LabÕs staff synthesis activities and ultimately the implications to address cyberwarfare within the emerging and expanding algorithm driven, cashless paradigm. The Reports will include: À Final Technical Report (not to exceed 30 pages) À Executive Summary PowerPoint (Summary of Findings) À Concept Paper on the intersection of Cyberwar and online financial transactions (not to exceed 3 pages) À Out briefing to USSS Leadership by a member of the ASU Threatcasting Lab

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 22, 2020
Source ID
W911NF2010330

Entities

People

  • Brian Johnson

Organizations

  • Army Contracting Command
  • United States Army

Tags

Readers

  • Cybersecurity.
  • Economics
  • Emergency Management and Homeland Security.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber
  • Cyber - Cryptography
  • Quantum Computing