This course explores the trustworthiness risks in artificial intelligence, with a focus on addressing psychosocial threats that can undermine user confidence and ethical use. Participants will learn how biases, misinformation, manipulation, and lack of transparency in AI systems impact trust and societal well-being. The course covers strategies for identifying and mitigating these risks through responsible design, communication, and governance. Through practical exercises and real-world case studies, students will gain the skills needed to recognize psychosocial challenges in AI deployment and develop solutions that promote trust, fairness, and accountability.

At the heart of our courses are experienced, passionate trainers who bring both deep technical expertise and real-world experience. Our team includes cybersecurity professionals, incident response experts, and communication strategists who have worked with leading organizations across multiple industries. Each trainer is dedicated to delivering practical, actionable knowledge through engaging teaching methods, real-world case studies, and hands-on learning. Whether you are just beginning your cybersecurity journey or refining advanced skills, our trainers are here to guide, inspire, and support every step of the way.