Jamil Ammar

Senior Research Affiliate

Dr. Jamil Ammar is Academic Associate at the Center on Hate Bias and Extremism (CHBE), Faculty of Social Science and Humanities, Ontario Tech University.

Jamil Ammar’s teaching and scholarship explore topics on artificial intelligence and machine learning technologies, tech ethics, cyber security, al-Qaeda and ISIS violent jihadi groups, social networking and fundamental rights. Jamil taught many counter-terrorism-related courses in both Canada and the United States.
Professor Jamil’s scholarly work includes many articles, essays, and books accepted for publication in the International Journal of Law and Information Technology (Oxford University), the Santa Clara High Technology Law Journal ( US), Gonzaga Law Review ( US), Palgrave Pivot/Springer Publishing, Cambridge Scholars Publishing, Albany Law Journal of Science & Technology, International Journal of Law and Interdisciplinary Legal Studies, Ratio Legis, a Lisbon-based Law Research Center, international trade law and regulation, among others.

In 2016, he co-authored an article which provided a detailed account of online activities of al-Qaida-inspired groups and the legal impediments that hinder the implementation of an affective counter terrorism strategy. Recently Ammar co-authored the book, ‘When Jihadi Ideology Meets Social Media’: providing specialists with a brief and engaging exploration of trends of media usages by violent jihadist, as well as the laws regulating these grey areas of propaganda activities on social networking sites. The book also highlights the potential of machine learning technologies and network analysis methods in curbing the spread of extremist groups online. Most recently, Ammar completed an in-depth study entitled ‘Cyber Gremlin: Social Networking, Machine Learning, And The Global War On Al-Qaida-And IS-Inspired Terrorism’, examining the limitation of machine learning technologies in curbing the spread of violent jihadi propaganda. This scholarly piece will appear in the International Journal of Law and Information Technology, Oxford University).

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