From CGI influencers to deep fakes, to a growing number of ‘artificial human’ providers, it’s no question that virtual avatars are the future, and the future is here. As leaders in humanized AI research, we believe that our ultimate goal should be beyond simply animating digital characters, but improving the overall quality of collaboration between humans and machines. This collaboration has brought us many of humanity’s milestones. In a world that’s more virtual than ever before, we believe that we can unlock even greater innovations together. In order to innovate, machines need to have 1:1 personalized interaction at scale, something that can only happen when the relationship shifts from subordinate to symbiotic.
As leaders in humanized AI research, we believe that our ultimate goal should be beyond simply animating digital characters, but improving the overall quality of collaboration between humans and machines.
Therefore, we are proposing an industry framework that describes how humans and machines should collaborate to co-create, one that allows humans to think more creatively and machines to be more lifelike. We first presented this standard, Autonomous Animation, in 2019 and have updated our framework based on feedback and market maturity.
Our approach to Autonomous Animation is rooted in our belief that machines can be more helpful and collaborative if they can interact with us in a natural way, which led us to build a Digital Brain to enable those lifelike interactions. Our industry-defining taxonomy of Autonomous Animation provides a framework that measures the progress of our world-leading AI research, and the direction we urge the industry to take. Beyond simply building avatar solutions that offer scripted one-dimensional interactions where the avatar’s emotions and responses are pre-programmed, we believe that humanizing AI is the key to truly memorable AI experiences in digital worlds and beyond.
Human OS is our response to this need. Our researchers have recreated a Human Operating System with a Digital Brain that replicates the way humans handle everyday interactions. Our deep tech research program has resulted in an immersive cognitive user experience that enables Digital People to interact with a changing digital environment and user input in real-time. The Digital Brain’s neural network models are driven by deep research into neuroscience, psychology, and cognitive science—and are the only explainable way to autonomously animate digital characters.
Our updated framework includes:
- What is Autonomous Animation and why is it important
- What Autonomous Animation means for our customers and our industry
- The Five Levels of Autonomous Animation explained
- What’s next for Autonomous Animation
“As the world becomes more virtual, human cooperation with machines will undoubtedly unlock new innovations and milestones for humanity. In order to unlock that potential, machines need to upskill and have more natural interactions with humans at scale. This standard centers on how humans and machines collaborate to co-create, underpinned by the essential need for 1:1 personalized interactions at scale. This is an ambitious goal that will only be achieved with global collaboration, but one we believe necessarily to take on in this new digital age.” – Shantenu Agarwal, VP of AI Ecosystem at Soul Machines