The ethics of artificial intelligence for intelligence analysis: a review of the key challenges with recommendations

A Blanchard, M Taddeo - Digital Society, 2023 - Springer
Intelligence agencies have identified artificial intelligence (AI) as a key technology for
maintaining an edge over adversaries. As a result, efforts to develop, acquire, and employ AI …

We have to talk about emotional AI and crime

L Podoletz - AI & SOCIETY, 2023 - Springer
Emotional AI is an emerging technology used to make probabilistic predictions about the
emotional states of people using data sources, such as facial (micro)-movements, body …

Introduction: Forecasting in peace research

H Hegre, NW Metternich, HM Nygård… - Journal of Peace …, 2017 - journals.sagepub.com
Prediction and forecasting have now fully reached peace and conflict research. We define
forecasting as predictions about unrealized outcomes given model estimates from realized …

[HTML][HTML] Artificial intelligence and new threats to international psychological security

D Bazarkina, E Pashentsev - Russia in global affairs, 2019 - eng.globalaffairs.ru
This article analyzes new threats to international psychological security (IPS) posed by the
malicious use of artificial intelligence (MUAI) by aggressive actors in international relations …

We need to go deeper: Measuring electoral violence using convolutional neural networks and social media

D Muchlinski, X Yang, S Birch… - … Science Research and …, 2021 - cambridge.org
Electoral violence is conceived of as violence that occurs contemporaneously with elections,
and as violence that would not have occurred in the absence of an election. While …

A survey of Emotional Artificial Intelligence and crimes: detection, prediction, challenges and future direction

TT Khoei, A Singh - Journal of Computational Social Science, 2024 - Springer
Abstract Emotional Artificial Intelligence (Emotional AI), with its advanced capability to
detect, analyze, and interpret human emotions, presents a groundbreaking opportunity for …

EMBERS at 4 years: Experiences operating an open source indicators forecasting system

S Muthiah, P Butler, RP Khandpur, P Saraf… - Proceedings of the …, 2016 - dl.acm.org
EMBERS is an anticipatory intelligence system forecasting population-level events in
multiple countries of Latin America. A deployed system from 2012, EMBERS has been …

Real-time detection of content polluters in partially observable Twitter networks

M Nasim, A Nguyen, N Lothian, R Cope… - … Proceedings of the The …, 2018 - dl.acm.org
Content polluters, or bots that hijack a conversation for political or advertising purposes are
a known problem for event prediction, election forecasting and when distinguishing real …

Злонамеренное использование искусственного интеллекта: новые угрозы для международной информационно-психологической безопасности и пути их …

ЕН Пашенцев - Государственное управление. Электронный …, 2019 - cyberleninka.ru
В статье представлен анализ новых угроз международной информационно-
психологической безопасности, обусловленных быстрым внедрением в различные …

Temporal topic modeling to assess associations between news trends and infectious disease outbreaks

S Ghosh, P Chakraborty, EO Nsoesie, E Cohn… - Scientific reports, 2017 - nature.com
In retrospective assessments, internet news reports have been shown to capture early
reports of unknown infectious disease transmission prior to official laboratory confirmation. In …