projects
Here is a brief information about the projects I worked on the intersection of AI x Creativity.
How to Generate (Almost) Anything
How to Generate (Almost) Anything (HTGAA) is a creative collective of artists and scientists where we aim to create AI systems to augment human capabilities and pushing the boundaries of creativity. Since the launch of the project on 8/2018 we worked with artisans, artists and scientist from various industries and showcased how humans and machines can work together. Currently, the project includes –to the best of our knowledge, world’s first –human-AI collaborated fashion designs, perfume, pizzas, jewelry, arcade songs, graffiti, theater play, chocolate truffles, and more!
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Nightmare Machine
MIT Media Lab
Nightmare Machine is world’s first large-scale experiment to test whether artificial intelligence can induce emotions through GAN-generated images, in particular, fear. Over the course of two weeks leading up to Halloween 2016, Nightmare Machine collected over 2 million votes from over 100 countries on what is scary and not through AI-generated scary imagery (generative adversarial networks and neural style transfer).
Selected Media: Washington Post, The Atlantic, Forbes, BBC, NPR, Boston Globe, NBC, Vice.
Shelley
MIT Media Lab
Shelley is world’s first horror writer AI, trained on horror stories from Reddit’s famous r/nosleep subreddit. Powered by a recurrent neural network that takes crowd’s feedback into account with an online learning component, Shelley invites users to write horror stories together in a truly collaborative fashion. Over the course of two weeks leading up to Halloween, more than 500 parallel stories are written by Shelley and Twitter users.
Deep Empathy
MIT Media Lab
In collaboration with UNICEF, we pursue a scalable way to increase empathy. We use deep learning algorithms to learn characteristics of Syrian neighborhoods after the war (for example, Aleppo, Syria), and uses these features to transform images of cities all over the world, simulating how they would look if they suffered disasters like those in Syria. We used these simulated images to investigate whether AI can induce more empathy.