Artificial Intelligence symposium 02/08/19

Presentation link:

Introduction by Erica Southgate & Sarah Howard

“Artificial intelligence will shape our future more powerfully than any other innovation this century”

AI definition: The ability of a machine to perform a task that is ‘intelligent’: analytic, humanized intelligence and human.

Being intelligent is (2×2 matrix) thinking humanly, thinking rationally, acting humanly, acting rationally (Russel & Norvig, 2010)

Me: Assumes that humans are intelligent!!!! We actually don’t program computers to think like humans – we take the best parts and leave out the worst parts.

The Education, Ethics and AI (EEAI) framework (Southgate, Blackmore, … et al)


Erica Southgate wants democratic discussion about the ethics of AI.

Me: Question for Erica – how would that happen?

Just a taste of approximately the 50 people attending

  • Mark Greentree Director of Technology for Learning, NSW Department of Education
  • Nicole, Education for a changing world
  • Karl Maton, University Sydney part of the Legitimation Code Theory
  • Erica Southgate, University of Newcastle
  • Sarah Howard, University of Woollongong
  • Belinda Emms, Federal STEM
  • Chris Roberston, Principal Aora College NSW DoE virtual school
  • Simon Buckingham-Shum, UTS

Google presentation Paul Hutchins

Good examples of AI:

  • Computer learning to play Paddleboard (vid)
  • Google Deepmind AI teaching itself how to walk (Tech Insider) (vid)
  • Google voice to text search, Google Translate, Google Photos facial recognition and object recognition.
  • Google Maps is now being launched with AR
  • Socially Aware Robot System (SARA) (vid)
  • Rapport Aware Peer Tutor RAPT (vid)
  • Google Duplex: Google assistant booking a haircut (vid)
  • Google app Teachable Machine -> recognises actions and user can specify consequent actions
  • Google app Quick Draw -> recognise drawn object
  • Google app Draw Along AR -> helps people learn from videos about drawing
  • Auto ML -> Google’s consumer solution for drawing upon and designing with AI

NSW Dept of Education, Jason La Greca, Microsoft

Microsoft Education Learning Tools:

  • Immersive Reader will remove background, and read in the native language, can change speed, text size, background colours, highlight different grammar elements, provide definitions and associated pictures, can translate to other languages etc.
  • Onenote has an integrated mathematics recognition and solver engine.

Case example: Dr David Kellerman UNSW first year mechanical engineering convenor used O365 Question feature AI to train the O365 about the sorts of questions that students ask, and builds a repository. Big increase in in the number of questions that students asked. Zero configuration on the part of the academic. Used QR codes on workbooks to provide hints or complete solutions to specific questions. Was able to pull from video recordings of lectures to pull out lecturer response. All ran within O365 Teams. Was able to learn about where students were struggling and then provide them with personalised study packs.

About matthewbower

Professor at Macquarie University.
This entry was posted in Uncategorized. Bookmark the permalink.

Leave a Reply

Please log in using one of these methods to post your comment: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s