Knowledge Representation and Reasoning |
The process of organizing information in a way that a computer can understand and use reasoning to make automated decisions |
Classification systems, diagnostic engines, and prediction systems |
Augmented intelligence such as personalized AAC assessment and language knowledge and skill building |
Bias in assessment and prediction could create discrimination (e.g., AAC misconceptions could become part of the model, such that AAC could artificially hold a person with complex communication needs back by limiting their opportunities) |
Machine Learning |
Capability of a program to learn patterns and themes from data and apply that knowledge to other data |
Many recommender and prediction algorithms used in entertainment apps and search engines |
Customized word-prediction, custom speech synthesis (voices), tuning/ calibration of alternative access systems |
Ability to manage/curate training and learning systems |
Computer Vision |
Combines components of AI to process images and make decisions about them |
Identification of objects, navigation |
Automated visual-scene displays, vocabulary capture tools |
Privacy regarding photos and facial recognition |
Natural Language Processing |
Ability to process and generate human-like text or speech based on knowledge of previous uses of language |
Spam filters, smart assistants, word prediction on mobile devices |
Word- and message-prediction, automated storytelling, voice recognition of dysarthric speech |
Autonomy and individuality compromises if AI systems cannot be checked manually by users (e.g., inappropriate vocabulary choices yielded via predication during visit to preschool versus out with friends) |
Robotics |
A physical agent that can move about and interact with its environment |
Industrial robots for manufacturing, social robots for interaction |
Social robots and robot-assisted learning; intelligent powered mobility |
Awareness of the role of human interaction and conversation in social development |