LG Electronics (LG) unveiled the framework for the future of artificial intelligence (AI) development at the Consumer Electronics Show (CES), held last month (January 7 to 10) in Las Vegas, US.

Unveiled by LG president and chief technology officer (CTO) Dr I P Park, the conceptual framework titled “Levels of AI Experience: the Future of AI and the Human Experience” aligned with the LG ThinQ brand and its ambitious vision to transform the daily experience by connecting all aspects of people’s lives with intelligent touchpoints.

Dr Park explained that, amidst a wave of AI-related ideas and concepts, it is important to share a structured framework for the development of AI across the industry so that we may create a meaningful impact on the lives of customers we serve. Dr Park was joined on stage by Jean-François Gagné, co-founder and CEO of Element AI, the Montreal-based company that built its reputation on effective AI implementation. Together, they discussed how the framework was developed and their responsibility as an industry when developing future technologies will play a transformative role and explained four levels of AI experience (AIX) – Efficiency, Personalisation, Reasoning and Exploration – which are anchored in significant jumps in technical capability and its application.

Efficiency, the first level, is where specific device functions can be automated through simple commands, which is currently possible with most voice recognition and AI-enabled products. At this level, the AI automatically adjusts performance in relation to pre-established sensory input parameters, maximising efficiency in user interactions.

Personalisation focuses on pattern learning to optimise and personalise 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 behaviours, AI at this level can better predict and pro-mote 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.