When we talk about AI and artists, the air usually sucks out of the room. Will we focus our conversation on replacement? Or will we discuss the dangers? Better yet, will we at least talk about how the two are non-comparable? The answer is no… because even though the fear is swirling around artificial intelligence, the truth backing up that fear is much more exciting. To learn more about this, I talked to Daniel Harris, CEO of Full Circus, which is a creator marketplace focused on utilizing human-assisted machine learning and predictive analytics to value and pay video creators for their content on demand.

Full Circus says it wants to boost the creator economy and give more to the creators by adding AI. The company is also an example of how humans and machines can work together–an alternative to the popular story line about an inevitable robot takeover.

Curating the Experience

Harris’ list of achievements is about a mile long and most impressive. He recently served as lead Investor & Non-Executive Chairman of the largest independent EDM concert production and talent buying company in the Northeast Region. An early digital disruptor, Harris secured the first legal downloadable movie clips from a major studio, when that was the next big thing on the horizon. A seven-year partnership with Microsoft Corporation ensued which resulted in launching MediaPass (sold in 2010) and becoming Microsoft’s No.1 digital content supplier along side channel partners including Yahoo and MTV before spearheading the launch campaign for Vevo.

Creator Based- Built Around Data

All of this past experience laid the groundwork for where Harris is right now, again curating a valuable experience for everyone involved in the process, protecting the creators, and establishing a moral baseline in the process. To the team at Full Circus, data equals discipline. It’s easy to think that we know what’s cool, but it’s so easy to get off track, especially in such a massive ecosystem where change is exponential. So Full Circus is providing an alternative to the algorithmic programming, and with a quality edge to it.