> Organizes its second international contemporary art-based hackathon on artificial intelligence
> Calls for hackers, artists, coders, designers, tech evangelists, creatives, and developers from all disciplines to explore artificial intelligence as a means and field of artistic practice
> Invites projects throughout all artistic domains: Text, Writing, Music, Sound, Image, Pictures, Movement, and Motion
> Arranges a forum for discussion and reflection on the influence of AI for and into our lives
> Loves to learn with all participants how to use AI for a creative future
Participants from art and tech will be brought together through online social encounters and match-making to form international teams.
Internationally renowned and dedicated mentors in the field will give talks, workshops, and guidance throughout the hackathon.
Four projects will be selected by the jury for post-production. These projects and prototypes from the hackathon will be shown in subsequent showcases and exhibitions around the world.
> How it works: You can register with skills or ideas. We encourage you to build international teams, consisting of artists and coders, max 5 persons.
In general, each team should consist of at least one programmer and one artist. However, we will consider deviating submissions on an individual basis.
Before the submission deadline, 15 May 2023, teams will submit working links to their GitHub repositories for the judges to be able to verify/test the projects and applications.
As part of the judging criteria, teams may be required to show their projects to the panel of judges. This will be done via Zoom screen-sharing.
Teams are strongly encouraged to present a demo of what you have built. This demo may include a pitch, and demo, and may take any electronic format that can be presented over Zoom.
Teams are encouraged to present what they have done even if your hack is broken or you weren’t able to finish.
It's okay if you didn't finish your hack. Demoing your team’s progress and the product is a chance to share with others what you learned and what you tried to build— the value is in your ideas!
Winners may be announced on SAAI Factory’s and its partner’s websites and/or social media channels. We may require winners to send us their personal images and/or other limited personal information, in order for us to announce the results. By participating in the hackathon, participants agree to the collection and usage of personal data that they have provided to us for the purpose of announcing the winner of the hackathon on public channels.
$6,500 in prizes
1st Prize - Golden Gate
Best Project Creating Interaction between Humans, AI/ML, Datasets and Neural Networks.
Presentation in the upcoming exhibition series
2nd Prize - Silver Dove
Best Project Challenging Interoperability or Synesthesia between Text, Music, Image and Motion.
And Integrating Advanced Machine Learning Knowledge.
Presentation in the upcoming exhibition series.
3rd Prize - White Mountain
Best Project Identifying the Momentum of Creation, of Inspiration, and Real-time Experience.
Presentation in the upcoming exhibition series.
Audience Award @Public Voting
Project Receiving most of the Public Votes.
Presentation in the upcoming exhibition series .
Submitting to this hackathon could earn you:
Assistant Professor of Computer Science at the Visual Computing Center at KAUST
Artist and Filmmaker, Founder of SAAI Factory
Professor of Psychology at HKS Ottersberg
AI Art curator
The Hackathon will be evaluated by a panel of judges selected by SAAI Factory. One of the main goals is to recognize the potential of the projects for further development and subsequent presentation to the public.
Creativity and Originality
How unique and creative is the project from an artistic perspective? How original and innovative are the depicted concept, vision, and visual theme? What are the references to contemporary art?
Art and Technology
How effective is the infusion of technology to enhance the work? Does it integrate deep learning in an innovative, unexpected way? Is it showing a new approach towards data input, data output or dataset ? The level of complexity of the usage of AI/ML/DL.
Potential for Further Development - Feasibility
Does the proposed prototype have the potential to grow and deliver the imagined result in the post-production stage? Are the team’s skills able to maintain and improve the project? Did they utilize the tools in the best way?
Clarity and Quality
Is the depicted theme clear to the viewer? How well is the concept reflected on the piece? Does the artwork stand on its own as a complete and outstanding work of art? Does it work outside of the competition ?
Can the project inspire other ideas?
Scale of Awesome
Something in the project that is beyond the expected, surprising, and exciting.