Approaching AI: A Practical Guide to Understanding and Using AI for HCI

Abstract

Artificial intelligence (AI), is an important evolution in computer science that is only beginning to take hold within the HCI communities. But while the science of AI was twice pronounced dead, it continues to evolve, so do the number of definitions, concepts, applications, and theories that are included in the study of AI. Understanding the definitions and concepts, the functions, terms and relationships associated with this sub-discipline of computer science can be challenging. Today, HCI researchers have an opportunity to begin to apply AI concepts to designing interactions and interfaces that will represent an evolution to the way humans use computers. However, because of the complexities and seemingly disconnected research efforts, HCI researchers must develop a clear and practical understanding of AI — the discipline, concepts, technologies, and terminology — to effectively develop the safe and trusted AI applications of the future. Towards this goal, this paper presents a high-level overview of AI, its history, and the key components, terms, and technologies that currently represent the constantly evolving science. Our goal is to motivate and support the adoption of AI as a safe and trusted layer of computer interactions towards the development of a new paradigm for HCI research.