I am Dimitrios Ioannidis, with a background in informatics engineering, data science, and software development. My academic training includes a bachelor's degree in Informatics Engineering from the International Hellenic University in Greece and an MSc in Data Science from Luleå University of Technology in Sweden. My work has included enterprise software, ERP systems, API integration, and automation, while my research interests include machine learning, natural language processing, and reliable intelligent systems. In Beyond True or False, I explore how artificial intelligence shapes the way we encounter, assess, and trust information. Drawing on research into anomaly detection and automated fact-checking of crisis-related social media, the book examines what machines can help us notice—and what still requires evidence, context, and human judgment. Written for readers without a machine-learning background, it connects technical ideas with questions of misinformation, uncertainty, digital trust, and institutional responsibility.