A one-day course for professionals who use or interact closely with models and the technical teams building them. This includes domain experts, data custodians and policy staff using (or planning to use) models as part of their work, as well as managers of technical teams and people responsible for the oversight of AI systems. This course content is similar to the Data Scientists course but taught at a more conceptual level.
Outcomes: Participants will gain a conceptual understanding of some of the theoretical, technical and organisational challenges in creating ethical AI systems as well as the approaches that begin addressing those challenges.
Prerequisites: This course is for people with a technical background who have had exposure to machine learning or statistical modelling, and are comfortable interpreting data from a graph and discussing concepts such as averages across different groups and population averages.
Format: This interactive workshop is run in classes of up to fifteen students with two instructors from our team of machine learning practitioners. A combination of working through interactive models and visualisations, as well as presentations and discussion.
Interested in this course?
Register for this course, or speak to us about tailoring this course for your organisation.