As part of Google’s ongoing commitment to support faculty working on positive societal initiatives, Artists + Machine Intelligence (AMI) supports artists and academics pursuing social science research relevant to machine learning technologies.
In the summer of 2020, we invited faculty across the arts & humanities disciplines to submit proposals exploring implications of AI technologies on society, including, but not limited to generative machine learning, computer vision, and natural language processing. Awards provide faculty and Google researchers an opportunity to partner on their research initiatives and build new and constructive long-term relationships.
This year’s selected proposals examine how technology mediates our knowledge and experience of the arts, music, policy, and urban design. Congratulations to this year’s recipients:
- Tools That Make Meaning – Mercedes Bunz, King’s College London, and Eva Jäger, Serpentine Galleries
- Speculative AI: Octavia Butler and Other Possible Worlds – Beth Coleman, University of Toronto
- Collaborative World Building with AI – Anab Jain, Design Investigations, University of Applied Arts Vienna, with Matthew Plummer-Fernández
- Network Bending Differentiable Digital Signal Processing (DDSP) – Matthew Yee-King, Goldsmiths, University of London, and Louis McCallum, University of the Arts, London
- Backyard Home Data Explorer: AI and The Future of Housing – Mimi Zeiger, Southern California Institute of Architecture (SCI-Arc), and Casey Rehm, SCI-Arc
Artists & Machine Intelligence (AMI) is a program at Google that brings together artists, academics and engineers to realize research and projects with machine intelligence. Learn how to apply for the next cycle of research awards, or meet award recipients from previous years here.