Tags

#test

• Goodbye London, Hello Australia

#data sharing

• Early thoughts on the Australian Productivity Commission's draft data sharing report

• The Great Untangle: reading the final report of the Australian Productivity Commission on Data Availability and Use

#lessons

• How I built this website

• You are not as bad at STEM as you think you are

#cities

• How to make 'smart' cities work for everyone

#ethics

• We need to talk about data ethics, Australia

• Wrestling with the 'e' word: data ethics and Unroll.me's data selling woes

#Ethics

• The Consequences of Dodgy Data Decisions

• In the Guardian: Medicare breach (it just got a whole lot harder to trust government with our data)

• Speech transcript 19 July Cranlana Programme: 'How do we build ethical machines?'

• Who gets held accountable when a facial recognition algorithm fails?

• Griffith Review No.64: Computer Says No

• Inside Story: Will We Finally Look Clearly at Facial Recognition Technology?

• NGV Art Triennial 2020: Where Do We Go Now, Siri?

#Open Data

• Encouraging women studying in STEM: why I want universities to publish open data

#Gender

• Griffith Review No.64: Computer Says No

#AI

• Inside Story: Will We Finally Look Clearly at Facial Recognition Technology?

• ANU Reporter Vol 51 No 1: Radical, Responsive, Inclusive - Experiments in Education at 3Ai and around the World

• NGV Art Triennial 2020: Where Do We Go Now, Siri?

#Education

• ANU Reporter Vol 51 No 1: Radical, Responsive, Inclusive - Experiments in Education at 3Ai and around the World

#COVID

• Starting with SOAP: rapid deployment of contact tracing technologies in a pandemic

#technology

• Starting with SOAP: rapid deployment of contact tracing technologies in a pandemic