This session is facilitated by Mor Rubinstein, Katie Clancy
About this session
We’ll be building on the State of Open Data project (https://www.stateofopendata.od4d.net/) and the chapters on Data Literacy, and Open Data & AI - and having an interactive discussion, either in a single group, or break-outs (numbers depending) to explore:
(1) Examples of open data being analysed through AI;
(2) Examples of ‘missing data’, where advocacy for open data could address imbalances in the current data environment used to train machine-learning models;
(3) Open data approaches as an alternative to AI: focussing on data for decentralised and human-centred problem solving.
We will have some prepared ‘primer’ material (slides / handouts) on both open data and AI we can draw upon, and prompt sheets for break-out groups.
Groups will respond to the prompts with post-it notes/sharpies.
Goals of this session
To build connections between open data and artificial intelligence communities, and build a deeper understanding of the open data interventions that can bring about a healthier AI environment.