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Slide Notes

The Internet of Things (IoT) continues to develop and expand. As marching learning and the associated algorithms impact on our experiences, how is this changing literacy?

When machines do the thinking

Published on May 16, 2019

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PRESENTATION OUTLINE

When machines do the thinking

 what does it mean to be literate?
The Internet of Things (IoT) continues to develop and expand. As marching learning and the associated algorithms impact on our experiences, how is this changing literacy?
Photo by Alex Iby

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wysa ai app

https://www.wysa.io

AN example of machine learning applied to a psychology app developed to support individuals work on issues associated with anxiety and wellbeing

Melbourne Declaration

Fake news creates a confusing, frightening world for people of all ages, pressuring them into adopting views without understanding their intention.

Educators want to learn and teach how to spot and resist the growing volume of manipulative media crowding their Facebook, Instagram and Snapchat accounts as they start to forge an independent world view. A proliferation of news and fake-news sources, distribution networks and social media – combined with a greater polarisation by the mainstream press – make it increasingly hard to tell fact from fiction. Growing numbers of young people report being turned off politics because of a feeling of alienation in the face of misinformation.

Educators have no interest in telling young people what to think. They aims to empower them to base their choices on reliable information and be actively aware of bias and persuasion. Children worldwide are taught not to accept sweets from strangers. As they consume more media, they need news literacy to do so wisely.

Photo by yaph

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Section 1

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The ordinary, extraordinary.
Levels of data and processing required to capture this image.
What do you notice?
What are you thinking?
What questions do you have?

The petabytes (1 petabyte = 1 million GB) of data that were used to construct the image came from a network of telescopes operated by 200 people in 60 countries who, “effortlessly sidestepped the issues that divide us.” (Here’s a thought: Let’s get competing political candidates to work on science projects … together!)

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Section 2
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When AI does the designing

https://www.ted.com/talks/maurice_conti_the_incredible_inventions_of_intuit...

What do you get when you give a design tool a digital nervous system? Computers that improve our ability to think and imagine, and robotic systems that come up with (and build) radical new designs for bridges, cars, drones and much more -- all by themselves. Take a tour of the Augmented Age with futurist Maurice Conti and preview a time when robots and humans will work side-by-side to accomplish things neither could do alone.

Maurice Conti
https://www.ted.com/speakers/maurice_conti?language=en

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Section 3
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Everyone is a search engine

https://tinyurl.com/internetinourhead

https://www.ted.com/speakers/arnav_kapur?
Technologist

Live demonstration of human and computer interface
Implications for what it means to be literate?

Spellcheck in your head

https://tinyurl.com/internetinourhead

https://www.ted.com/speakers/arnav_kapur?
Technologist

Live demonstration of human and computer interface
Implications for what it means to be literate?
Photo by quapan

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Section 4
Photo by David Pisnoy

1 kg $2M to Mars
Scooter Data

What would this mean we need to consider?

Aboriginal perspectives relating to multi-functional tools and makings of the resources available within the immediate environment.

How does this change things?

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Section 5
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Section 6

Largest youth population ever

 1.8 billion young people between 10 and 24
How are things different and what does this mean?

We bring a different point of reference and perspective.

They do not know a world that is not connected.

Paper vs networked, digital, always-on paradigm.

FYA Reports

https://www.fya.org.au/our-research/

Digital Literacy:

What is it and how important is it to the future of work?

https://www.fya.org.au/2017/06/29/digital-literacy-important-future-work/

The Australian picture.
Photo by stopherjones

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Section 7

Erica Southgate

An Australian Thought Leader you should know:

https://ericasouthgateonline.wordpress.com/projects/

Artificial Intelligence, Machine Learning implications for schools

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Section 8
Photo by Leo Reynolds

Physical Money

Source: Luke Dormehl @lukedomehl

UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian, Politico and others. I'm the author of Thinking Machines and The Formula: How Algorithms Solve All Our Problems... And Create More.
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autonomous vehicles

Photo by ekai

weekend job

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Language Barriers

Stay in 1 place

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Dead before 100

Photo by Collin Key

Privacy

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Poverty

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Section 9
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Hyperstimuation

 attention shift recovery time

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Section 10
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Reality Defender

 Visual Fake News
Reality Defender is intelligent software built to run alongside digital experiences (such as browsing the web) to detect potentially fake media. Similar to virus protection, it scans every image, video, and other media that a user encounters for known fakes allows reporting of suspected fakes and runs new media through various AI-driven analysis techniques to detect signs of alteration or artificial generation.

https://aifoundation.com/responsibility/


Computer scientist Supasorn Suwajanakorn shows how, as a grad student, he used AI and 3D modeling to create photorealistic fake videos of people synced to audio.

https://www.ted.com/talks/supasorn_suwajanakorn_fake_videos_of_real_people_...

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Section 11
Photo by Leo Reynolds

Skrillex copyright & emojis

 New conventions
https://www.thecut.com/2016/12/do-emoji-have-grammar.html

It’s increasingly clear that they act like gestures, adding much-needed clues to tone that get left out as vocal speech has been flattened into text messages. But they also behave differently than regular words: As Rachael Tatman, a linguistics Ph.D. candidate at the University of Washington, is discovering, emoji are bidirectional: Not only can they express actions, but they can also directly represent spatial relationships. Emoji are a special case for her discipline — linguists disagree about whether they’re even words, and society’s use of them is maturing before their collective eyes.

This is technical, linguistic-y stuff, so probably the best way to wrap your mind around it is with a rather well-illustrated experiment that Tatman ran through her blog, Making Noise and Hearing Things. She recruited what ended up being 127 people via Twitter and presented them with a sequence of three images. After each image, she asked them to select the chain of emoji that best described what was happening in the image; then, they were asked to write a sentence describing the scene. Together, the results show how emoji can be written — and read — with two different kinds of logic.
Photo by weeklydig

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Section 12

work as desired
work as designed
No ghost in the machine?

https://www.theregister.co.uk/2018/11/06/andrew_fentem_on_ai/

High-profile intellectual and best-selling author of Sapiens and Homo Deus, Yuval Harari, describes the impact that AI will have on democracy. What is perhaps most interesting about this article is Dr Harari's extraordinary faith in the capabilities of current AI technologies. He describes Google-stablemate DeepMind's chess software as being "creative", "imaginative", and even in possession of "genius instincts".

Meanwhile, the BBC's The Joy of AI documentary finds Professor Jim Al-Khalili and DeepMind founder Demis Hassabis describing how an apparently artificially intelligent system has "made a genuine discovery", "can actually come up with a new idea", and has developed "strategies that it has intuited by itself".

With such a torrent of exaggerations and anthropomorphisms being used to describe what are, essentially, dumb and mechanistic systems, now could be a good time for some kind of back-to-basics hardware reality check.

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Section 13

Gutenberg Parenthesis

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Section 14
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How can we

NAPICT Literacy
25%

Facebook's algorithm is designed to determine what its individual users want to see, people often see only that which validates their existing beliefs regardless of whether the information is true.
Discuss

https://devpost.com/software/fib

What is FiB and what does it do

Validate and Unvalidated

Plug-in
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FYA Report

What does it tell us?
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We are social

What does it tell us?

DTHub AI

Ways into digital literacy 
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1 second

online

Dev Framework Jisc, 2013

  • I am
  • I apply
  • I can
  • I have
  • I know of
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App mash

Apps extending attention?
Photo by Will Suddreth

Data

is everything
Photo by Samuel Zeller