Microsoft Technology Licensing, LLC

Mark Fenwick Wheeler

Ted Tai-Yu Chen

Thomas Charles Butcher

Wesley Hodgson

George Valavanis

Ines Khelifi

Eric Paul Nichols

An Artificial Intelligence (AI) driven content generation system is configured to interact with and inject user inputs into the decision-making process to navigate the user through the boundless creative space offered by content generation algorithms powered by AI. A content generation application may generate an initial collection of artifacts (e.g., multimedia) for exposure to a user, which may be generated based on user input, context awareness, or randomly generated. Responsive to user selection of one of the initial artifacts, a subsequent collection of artifacts is generated based on characteristics of the selected artifact. The generative process is recursive in that the generative application and the user continue to interact until the user decides to use one of the generated artifacts. The generative process enables the user to navigate the virtually infinite creative space of artifacts which may be generated by AI algorithms.

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Mark Fenwick Wheeler