UTILIZING GENERATIVE AI TO COUNTER DECEPTIVE MESSAGING

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Authors
Mobilio, Sarah B.
Advisors
Mabry, Tristan J.
Second Readers
Matovski, Aleksandar
Subjects
generative AI
GenAI
ChatGPT
OpenAI
deceptive messaging
disinformation
countering disinformation
AI policy
AI ethics
natural language process
NLP
AI literacy
Russia
China
Taiwan election
war in Ukraine
Russian aggression
information confrontation
proactive measures
Task Force Lima
artificial intelligence
generative artificial intelligence
legal constraints
ethical concerns
public affairs
operations in the information environment
Date of Issue
2024-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
In an era where information is both a tool and a battleground, generative artificial intelligence (GenAI) is emerging as a double-edged sword in the fight against disinformation. As states, such as Russia and China, increasingly integrate GenAI into their disinformation campaigns to sow social discord and undermine public trust in democratic processes, a pivotal question arises: How can the U.S. military leverage GenAI to identify and counter disinformation online, and what are the ethical, legal, and policy considerations? This thesis qualitatively evaluates measures undertaken by Taiwan and Ukraine to counter Chinese and Russian threats surrounding the 2024 Taiwan election and the war in Ukraine, respectively. Results indicate that both democracies exemplify how governmental initiatives, public engagement, and tech collaborations can combat disinformation. Ukraine’s risk-taking in wartime, like using AI for photo attribution and facial recognition, alongside Taiwan’s peacetime strategies for media literacy and disinformation law oversight, offer lessons for the Department of Defense’s (DOD) policy development. A number of policy recommendations follow: 1) sustain the AI Governance Task Force; 2) refine AI Governance within the DOD; 3) develop training; 4) monitor and evaluate, and 5) adopt trustworthy GenAI technologies combined with human-AI teaming to effectively detect and counter disinformation.
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Thesis
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Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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