Crafting Ethical AI Products and Services - a UX Guide

About this presentation

Computer Scientists, software engineers and academics are currently carrying the load of responsibility for the ethical implications of AI (specifically Machine Learning) in application. As a result, AI is inferred as having its own agency. This emerging separation of technology from people is alarming, considering it is people who are making it and using to inform important decisions. This work belongs to a wider group – namely development teams and their parent organisations and key to moving forward to a positive future is having cross discipline teams making this tech, mindful ethical approaches and clear methods of communicating this process ongoing with teams, customers, clients and society. This talk is aimed at designers and product managers and proposes an ethical framework in discovery and solutions. We look at where UX can fit in via the application of existing methods, the relationships between people including how to anticipate the power relationships and finally proposed approaches to solution design to foster trust, control and reduce the mystery of machine learning systems. A robust list of references further reading will also be provided.