AAC and Artificial Intelligence (AI)Sennott, Samuel C.; Akagi, Linda; Lee, Mary; Rhodes, AnthonyTopics in Language Disorders: October/December 2019 - Volume 39 - Issue 4 - p 389–403 doi: 10.1097/TLD.0000000000000197 Original Articles Buy Abstract Author InformationAuthors Article MetricsMetrics Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)? Artificial intelligence (AI) can be defined as the capability of a machine to imitate human intelligence. The goal of AI is to create machines that can use characteristics of human intelligence to solve problems and adapt to a changing environment. Harnessing the capabilities of AI tools has the potential to accelerate progress in serving individuals with complex communication needs. In this article, we discuss components of AI, including (a) knowledge representation, (b) reasoning, (c) natural language processing, (d) machine learning, (e) computer vision, and (f) robotics. For each AI component, we delve into the implications, promise, and precautions of that component for AAC. College of Education (Dr Sennott and Mss Akagi and Lee) and Maseeh Department of Mathematics and Statistics (Mr Rhodes), Portland State University, Portland, Oregon. Corresponding Author: Samuel C. Sennott, PhD, College of Education, Portland State University, P.O. Box 751, Portland, OR 97207 (firstname.lastname@example.org). Gratitude for Intel Labs team members conversations on the direction of the paper. The authors have indicated that they have no financial and no nonfinancial relationships to disclose. Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.