About Ali Al Ibrahim
Ali Al Ibrahim is an award-winning investigative journalist, AI researcher, and lecturer whose work bridges the worlds of data science, artificial intelligence, and investigative reporting. He is the founder of SIRAJ, an investigative journalism unit specializing in cross-border investigations and digital verification. With over fifteen years of experience, Ali has produced in-depth investigations into corruption, human rights violations, and financial crimes across the Middle East and beyond, collaborating with leading international media organizations including the BBC, The Guardian, and the OCCRP.
Ali’s work has earned multiple international recognitions, including the BBC Best Young Journalist Award, the Samir Kassir Award for Freedom of the Press, the FJA Outstanding Investigative Reporting Award (2022), and the AACR June L. Biedler Prize for Journalism (2023, USA). He is also recognized by the Global Investigative Journalism Network (GIJN) and serves as a TED Fellow and research fellow at the Oxford Centre for Journalism Studies.
Ali holds a Master of Science in Artificial Intelligence from the University of Wolverhampton, UK, and is preparing for PhD studies focused on the intersection of AI, journalism, and ethics. His doctoral project explores how AI can enhance investigative journalism through automated analysis, data mining, natural language processing, and network detection models, while addressing the ethical challenges of transparency, bias, and accountability.
In addition to his journalism career, Ali is the author of “Artificial Intelligence in Journalism: Ethics, Applications, and Investigative Innovation”, a book examining how AI can be ethically integrated into journalistic workflows. Since 2017, he has also worked as a consultant for the International Journalists’ Network (IJNet), publishing reports and toolkits on AI-driven investigations, data methodologies, and media ethics.
Ali’s work aims to transform how journalists use technology to expose truth and empower communities. By combining machine learning with investigative storytelling, he is pioneering a model of AI-powered journalism that enhances accuracy, transparency, and social impact.
