Humans and machines have a lot in common (operating systems, programming, languages, etc). As we rush to automate processes, it's important to consider the impact of technology on how humans collaborate with machines to generate ideas and expressions. Or, as Kate Kompton would describe: “mechanically assisted art that a user and a machine create together.”

Agency: THAT

Technologist: Brian Chirls

Concept Designer / Creative Director: Julia Gorbach

What if AI could inspire us with bad ideas?  When I was heading Originals, a creative R&D lab within THAT [Technology, Humans and Taste] creative agency in NYC, I was committed to prototyping ideas with emerging technologies. However, without a brief to solve it became challenging to come up with new ideas. So, working with creative technologist Brian Chirls we set out to create the Dingerator, an AI that produces bad ideas at the press of a button. We researched the most used log lines and product descriptions to aggregate a dozen sentence frameworks that we could plug and play with thousands of variable verbs, adjectives, nouns, and more. 

What if AI could have a hunch? After facilitating many creative conversations with brand stakeholders, creators, and real world experts at THAT, I wanted to see what would happen if an AI could sit in on the conversation and synthesize a hunch. So I fed all of our transcripts and notes through a semantic graph, found repeating word patterns, pulled out sentences with those patterns to create a script, associated an image for each word in the script, and then edited it together into a video. 

What if AI could interpret our collective subconscious through our dreams? Work-in-progress dream machine that invites humans to share and co-create their dreams with machine learning to produce timely art inspired by our collective subconscious.