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Abstract EL280Abstract + Presentation
Fake News Risk: A quantitative analysis of the susceptibility of decisions to disinformation and the role of artificial intelligence
Fake News Risk: A quantitative analysis of the susceptibility of decisions to misinformation and the role of artificial intelligence
Professor Elisabeth Paté-Cornell and
Dr. Travis Trammell
Stanford University
Abstract
A dynamic risk analysis including artificial intelligence is presented here. It is designed to evaluate the probability and the impact of fake news, based on their source, the information involved and the targeted population. The objective is to identify and assess countermeasures. The model is illustrated by two statistical surveys focused on political statements, and is designed to assess the risks of different types of fake news attacks. The results emphasize the need to develop further risk management defenses to broadcast a correct message in a convincing way.
Keywords
Fake news, disinformation, risk analysis, risk management, artificial intelligence
← Check another abstractProfessor Elisabeth Paté-Cornell and
Dr. Travis Trammell
Stanford University
Abstract
A dynamic risk analysis including artificial intelligence is presented here. It is designed to evaluate the probability and the impact of fake news, based on their source, the information involved and the targeted population. The objective is to identify and assess countermeasures. The model is illustrated by two statistical surveys focused on political statements, and is designed to assess the risks of different types of fake news attacks. The results emphasize the need to develop further risk management defenses to broadcast a correct message in a convincing way.
Keywords
Fake news, disinformation, risk analysis, risk management, artificial intelligence