How Generative AI can combat disinformation?

How Generative AI can combat
disinformation?
Antonis Ramfos

Disinformation and the Citizen
Despite the availability of sophisticated tools and professional fact-checking services, the average
citizen remains weaponless against disinformation campaigns
• Lack of expertise in fact-checking and use of relevant tools
• Weak against disinformation campaigns’ sophisticated trickery (weak critical thinking)
o COVID-19
o Limited success of crowdsourcing efforts
o Uncritical sharing of claims in social media
 A citizen requires empowerment to successfully deal with disinformation in:
o understanding whether factual statements are true,
o interpreting and critically assessing the arguments and reasoning of a statement
Meet the Future of AI: Countering Sophisticated & Advanced Disinformation 29/06/2023 2

Our solution empowers
people to examine the
facts they read online
through a logic driven
investigation using a
personalised AI-coach
Meet the Future of AI: Countering Sophisticated & Advanced Disinformation
29/06/2023
3

TITAN: An AI-based Citizen Coaching Ecosystem against Disinformation
• Disinformation campaigns aim at inactivating citizen’s critical thinking capacity.
• TITAN implements an intelligent ‘chatbot’ capable of guiding the citizen to logical conclusions
about the factual correctness or reliability of a statement. Citizen will be assisted in:
• interpreting and critically assessing the reasoning and arguments involved in a statement
on their own
• conducting their own investigations either on an individual basis, or in collaboration with
other citizens on whether factual statements are true or reliable
• enhancing their critical thinking skills for better detection of disinformation they may
encounter in the future at scale
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Generative-AI approach to generate Socratic dialogues
TITAN will use a Generative-AI approach to generate Socratic
inquiring dialogues about a statement that:
• take into consideration the citizen’s critical thinking
capacity assessment
• incorporate use of fact-checking/verification processes
and tools based on the analysis of the statement at hand
and citizen’s skills
• provide personalised experiential learning approach to
media literacy micro-lessons according to the citizen’s
critical thinking capacity
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Structured dialogues coach users through 6 key critical
thinking processes when exploring claims in the news
Clarification: What do you mean when you say X?
Challenging assumptions: What assumptions are we making here?
Evidence and reasoning: Can you provide an example that supports what you are saying?
Alternative viewpoints: Are there alternative viewpoints?
Implications and consequences: How would this affect someone?
Challenging the question: What do you think was important about that question?
Socratic Inquiring Method

Fine-tuning the LLM: Data Acquisition & Modeling
• Define specific user inquiries – statements to be
verified
• Develop inquiring dialogues by-hand (Socratic
dialogues incorporating C-T assessment, fact-checking
tools, micro-lessons)
• Use co-creation to complete and expand above
dialogues
• Implement a rule-based system that implements the
above inquiring dialogues
• Use co-creation to collect validated learning about
the inquiring dialogues with the least effort
• Produce reliable data for fine-tuning the LLM
• Perform fine-tuning on selected LLM model.
 Instead of trying to model and engineer a full-fledged LLM-based solution upfront, first focus on learning
as much as possible about the problem-solution space

Thank you Antonis Ramfos
a.ramfos@atc.gr
www.atc.gr

How Generative AI can combat disinformation?

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