Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment

Human-Centric Machine Learning: The Role of Users in the Development of IoT Device Identification and Vulnerability Assessment

연구 분야: Strategies

학회: International Conference on Human-Computer Interaction

Big data, Artificial Intelligence (AI), and Machine Learning (ML) have recently been posited as both a challenge and an opportunity for Human-Computer Interaction (HCI) research. Researchers and practitioners have also expressed concern about these systems’ potential for favouritism, lack of transparency, and impartiality. We focus on the real-world utilization of various IoT devices and systems, communications technologies, and privacy and security considerations specific to the industry. We found that while the survey responses did validate some of our initial assumptions about privacy and security needs at Canadian ports, responses to the survey questions on IoT device and system usage and privacy and security needs were diverse, indicating an initial requirement for flexibility in UX design.