The next level, Personalization, focuses on pattern learning to optimize and personalize device functions, Gagné said. AI-powered devices and services at this level can accumulate data from interactions with the environment and users, recognize patterns and use them to improve their ability to effectively perform tasks and simplify user interactions.
Reasoning, the third level, envisions an AI that uses causality learning through the collective intelligence of a system made up of different devices and services. By perceiving the cause of certain patterns and behaviors, AI at this level can better predict and promote positive outcomes for users.
“Here, we can leverage the diversity of our product portfolio because we’ll need many intelligent touchpoints that interact with the user and gather information to understand the ‘why’ and establish causality,” noted Dr. Park.
Although still far in the future, level four, Exploration, is “the ultimate destination for LG’s AI,” Dr. Park concluded.
