We are no longer (solely) reliant on sci-fi to learn about AI capabilities in the near future because technology companies have put AI-enabled products in the hands of people. Apple's Siri and Amazon Alexa have given people first-hand experiences with Artificial Intelligence, providing a glimpse of how the technology will work for and us.

Artificial intelligence has already moved from being a backend tool for enterprises to playing a frontline role in technology interfaces during the mobile app development process. Creating UI UX for AI-enabled mobile apps is a complex task that necessitates an understanding of the mobile app workflow from the following perspectives.

·        The purpose of the mobile app

·        Expectations of users and business requirements

·        Maintaining harmony between AI capabilities and user interests in mobile user experiences

To deliver the desired mobile UX, a mobile app designer must bridge the gap between human-centered interactions and computer systems by designing intuitive user interfaces that accommodate both AI capabilities and user interests. AI-enabled mobile apps improve user convenience and efficiency while also generating critical data for businesses.

AI Capabilities are used to Enhance Mobile App User Experience

At the most basic level, AI suggests options based on previous actions. AI-powered user interfaces can direct users to actions that produce the best results. This level of intelligence is advantageous for apps that are designed to use "track records" in the decision-making process.

1.     Curator: A person who recommends the best or most relevant options based on previous user behaviour.

2.     Advisor: Learning from actions while also acting or guiding users to the best possible outcome.

3.     Orchestrator: Learning from previous user activity and collaborating across multiple channels to achieve the desired result.

At the advanced level, AI will collaborate on knowledge, experience, and interactions to suggest and perform a task, making complex technologies approachable to all segments of the population while also creating intelligent app experiences.

·        Design Principles of AI-enabled User Interfaces

·        Discover and Manage User Expectations

·        Design for Error & Forgiveness

·        The Concerns of Privacy, Security, and Control

·        AI-driven UI UX is guided by the User Interests