MBAI 5500G - Security, Privacy, and Trust in AI Systems

Artificial Intelligence (AI) increasingly impacts how humans live, work and play online and in the physical world. In all of their interactions with AI and the physical world, humans produce great quantities of data that are available for the AI to analyse and make inferences from. This raises natural questions about the potential for use, misuse and protection of these data that can go beyond purely legal approaches. This course uses a sociotechnical outlook (humans and machines work together as a system) to examine AI and its interaction with privacy security and trust in the light of current and potential future advances. Using case studies, reflection and theory, the course will examine technologies and techniques of location-based analytics, voice-enabled systems, personal AI-based assistants and blockchain as well as potential technologies of the (near and medium term) future. The course will cover use, ethics, efficacy and impact, positive and negative, on privacy and security as well as the impacts these technologies may have on business, society and individuals as well as human-AI trust (and the perception of AI trustworthiness). The course will examine AI- and data-focused security tools and techniques as well as ways to help protect data whilst still enabling their use, including differential privacy and tools for trustworthy AI.
Credit hours: 3
Experiential learning Yes