Humanizing Chatbots & Reducing Unconscious Bias
Designing for chatbot languages releases unconscious bias ranging from accessibility to language UI. UX designers have an opportunity to advance human connectivity even while attempting to reduce bias against gender, race, age, ethnicity and status.
Topic will cover a case study and findings that have resulted from an experimental mentor-mentee matching artificial intelligence and platform design.
Content will include:
– Unconscious bias in chatbot UI
– Working with enterprise data & uncovering limitations
– Humanizing artificial intelligence UI
– Designing with data science
– Accessibility design (includes findings from how to conduct a design sprint with visually and mobility-challenged participants)
– The complexity of removing bias while trying to facilitate human connection
– How to guard against scope creep between function and form