Wednesday, June 19, 2019

Tackling bias in artificial intelligence (and in humans)

Algorithmic bias has become a hot topic in recent months and as AI becomes more widely used the subject is becoming ever more important. McKinsey & Co have published a new report titled: Tackling bias in artificial intelligence (and in humans). They write that "the growing use of artificial intelligence in sensitive areas, including for hiring, criminal justice, and healthcare, has stirred a debate about bias and fairness. Yet human decision making in these and other domains can also be flawed, shaped by individual and societal biases that are often unconscious. Will AI’s decisions be less biased than human ones? Or will AI make these problems worse?" Their report is an interesting read.

Tuesday, June 11, 2019

RIP iTunes

Last week Apple announced that iTunes will be being withdrawn (at least on the Mac). After nearly 20 years iTunes will be replaced by three separate media apps: Music, TV, and Podcasts. It's hard to remember what a game changer iTunes was when it was launched and how it changed the music industry allowing people, for a small cost, to download individual songs from the iTunes store. Combined with an iPod it changed the way we listened to music. However, in recent years streaming music services like Spotify, Pandora and Apple Music have accounted for 75% of music sales. Whilst, for those who want a physical copy of the music, vinyl album sales have soared. RIP iTunes.

Monday, May 27, 2019

The future of quantum computing

The final of the 2019 Gibbons Lectures will be a panel discussion featuring Professor Howard Carmichael, Department of Physics, University of Auckland and Professor Cris Calude, School of Computer Science, University of Auckland on the topic: The future of quantum computing.
Further details are here. The lecture is on the 29th May. Refreshments will be provided from 6pm at 260.088, Level 0 of the Owen G Glenn Building. Lectures will commence at 6.30pm, and take place in OGGB3 (260.092) on Level 0 of the Owen G Glenn Building.  
It will be streamed live and later available as a podcast.

Tuesday, May 14, 2019

Cryptography after quantum computers

The second of the 2019 Gibbons Lectures will be presented by: Professor Steven Galbraith, Department of Mathematics University of Auckland, on the topic: Cryptography after quantum computers.
Further details are here. The lecture is on the 15th May. Refreshments will be provided from 6pm at 260.088, Level 0 of the Owen G Glenn Building. Lectures will commence at 6.30pm, and take place in OGGB3 (260.092) on Level 0 of the Owen G Glenn Building.  
It will be streamed live and later available as a podcast.

Monday, May 6, 2019

Quantum computing - What it is, and how we do it

The first of the 2019 free Gibbons Lectures will be presented by: Dr Michael Dinneen,  School of Computer Science, University of Auckland, on the topic: Quantum computing: What it is, and how we do it. Further details are here.
The lecture is on the 8th of May. Refreshments will be provided from 6pm at 260.088, Level 0 of the Owen G Glenn Building.
Lectures will commence at 6.30pm, and take place in OGGB3 (260.092) on Level 0 of the Owen G Glenn Building.  
The lecture will be streamed live and later available as a podcast.

This lecture is run in partnership with IT Professionals NZ, Auckland ICT Graduate School and Dr Beryl Plimmer.

Thursday, April 18, 2019

Building trust in human-centric AI

The Ethics Guidelines for Trustworthy Artificial Intelligence (AI) is a document prepared by the High-Level Expert Group on Artificial Intelligence (AI HLEG). This independent expert group was set up by the European Commission in June 2018, as part of the AI strategy announced earlier that year.
The AI HLEG presented a first draft of the Guidelines in December 2018. Following further deliberations by the group in light of discussions on the European AI Alliance, a stakeholder consultation and meetings with representatives from Member States, the Guidelines were revised and published in April 2019. In parallel, the AI HLEG also prepared a revised document which elaborates on a definition of Artificial Intelligence used for the purpose of its deliverables.
Download the Ethics Guidelines from their website.

Wednesday, April 10, 2019

2019 Gibbons Lecture Series

Assoc. Prof Peter Gibbons
The School of Computer Science's annual public Gibbons Lecture Series will be held Wednesday evenings at 6:30pm throughout May. This year's theme is Quantum Computing.
More information about the free lecture series can be found here.

Friday, March 29, 2019

Turing Award Won by 3 Pioneers in Artificial Intelligence

The Association for Computing Machinery (ACM) awarded Yoshua Bengio, Geoffrey Hinton and Yann LeCun the Turing Award that many consider the "Nobel Prize of computing," for the innovations they've made in AI.
The $1 million prize, funded by Google, is named after the British mathematician Alan Turing, who laid the theoretical foundations for computer science.
The three men who won developed Deep Learning with conceptual and engineering foundations for AI by using neural networks for computing. Working independently and together, Hinton, LeCun and Bengio developed conceptual foundations for the field, identified surprising phenomena through experiments, and contributed engineering advances that demonstrated the practical advantages of deep neural networks. Read more here.

Thursday, March 14, 2019

30 Years of the WWW - Infographic timeline

Izaak Crook of the AppInstitute emailed me with an infographic timeline to celebrate 30 years of the world wide web. The infographic is too big for this blog but you can view it at:

Wednesday, March 6, 2019

LAWS = Lethal Autonomous Weapon Systems

I received an email yesterday asking me to sign the letter below, which I of course did.

To: Rt Hon Winston Peters, Minister for Disarmament and Arms Control
CC: Professor Juliet Gerrard (Chief Scientific Advisor to the Prime Minister)

Dear Minister,
We, the undersigned, call on the New Zealand government to take a clear stand against weaponizing AI.
Lethal autonomous weapons systems (LAWS) that remove meaningful human control from determining the legitimacy of targets and applying lethal force sit on the wrong side of a clear moral line. Such weapons, if developed, will permit war to be fought with a merciless fury and blazing speed impossible for humans to survive. The appalling consequence is that machines—not people—will determine who lives
and dies. We oppose such uses of AI.
In particular, as technical experts, we are skeptical of the argument made by the New Zealand delegation at the UN meetings discussing LAWS, that “meaningful human control could be ensured through a human on the loop applied through programming constraints governing target selection and engagement, and an ability to disengage the system if required”. Often, the pace of engagement prevents meaningful human control from
being achieved by providing an “abort” button to a human. This is not just a matter of speed but also of supervision. Human factors research shows that humans struggle to monitor autonomous systems adequately over time. Adding programming constraints on target selection and engagement does not change this.
Therefore, we ask New Zealand to announce its support for a ban on LAWS at the upcoming UN meeting in late March and work to negotiate a treaty instrument that achieves this. New Zealand has a long and proud history of moral leadership in this area, as seen for instance in its strong position against nuclear weapons and its role in the Convention on Cluster Munitions (CCM). We hope the current New Zealand government can add to this proud legacy.

Friday, January 11, 2019

We're now a School of Computer Science

From 1st January 2019 we are now a School of Computer Science, which is the university’s way of recognising our size and complexity. We are the largest academic unit in the Faculty of Science (by number of students, comprising around 1400 EFTS). We manage seven undergraduate degrees (in Computer Science, Data Science, Information Systems, Logic and Computation, and Computational Biology – and also teach into Software Engineering). We manage nine postgraduate degrees (in Computer Science, Data Science, Digital Security, and Information Technology). We are home to the Auckland ICT Graduate School and its associated Microstrategy Centre of Excellence. We have 54 academic staff including 10 professors and 7 associate professors. We have three formal research centres (Cyber Security Foundry, Centre for Computational Evolution, and Centre for Discrete Mathematics and Theoretical Computer Science). We celebrate being made a school, recognising Computer Science as a very large and diverse part of the university with great strengths and expertise across the major fields of Computer Science.