Many discussions about AI tend to focus on serious subjects, like algorithmic bias, privacy issues and replacing human labor with machines. This session takes a more lighthearted approach and shows how AI can be used for comedic effect, and uses an audience game that explains how AI works on a basic level. This workshop will consist of two parts: first the speaker will showcase examples of funny AI, and after that we’ll do a participatory exercise where all attendees will form a Markov chain together, a rudimentary but easy-to-explain form of machine learning.
A better understanding of participants of high-level concepts of AI (like statistics, modelling, probabilities, etc.). Ideas for new projects (that don’t need to be that serious). Hopefully some smiles and laughter.
We're hoping that many efforts and discussions will continue after Mozfest. Share any ideas you already have for how to continue the work from your session.:Hopefully there’ll be people who share other great examples of funny AI in the session, and maybe new projects can emerge from it.
How will you deal with varying numbers of participants in your session?:For the first part (showing examples) this doesn’t really matter. The second part will be accommodated by the (yet to be built) tool that people will use to create a Markov chain. Because probabilities can be evenly distributed according to the number of attendees, this also doesn’t really matter. Although things might get tricky if the number of attendees is really low (below five or so).
Hay combines in-depth technical knowledge with a pragmatic approach and a creative angle. Designing, developing, tinkering and hacking on the thin line between art, data, technology and narrative.