Misinformation and disinformation - detecting fakes with AI

  Machine learning

Speaker: Ephraim Berkovitch

Description We will discuss the AI systems that can help identify fakes of different types, principles behind the AI-based methodologies employed by automated deception detectors, clickbait detectors, satirical fake detectors, rumor debunkers and computational fact-checking tools. We will trace the evolution of such state-of-the-art AI over the past decade. What rates of success can we expect of such systems? What are the next steps in improvements, collaboration and integration of various approaches? The first lecture will be devoted to the concepts and demonstration of existing tools, while at the second one we will develop a minimalistic fact-checking tool from scratch.

Program: 17:30 Welcome chat 18:00 Talk 18:50 Discussion 19:10 Networking (Impact Hub)

About MLMUs: Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and subsequent networking. Except of Prague, MLMU also spread to Brno, Bratislava and Košice.

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