3. • Diversity.
• Digital fluency.
• Digital citizenship .
• Identity and privacy
• Cyber bullying.
• Global connectedness
• De-privatised practice
The product of the beliefs,
perceptions, relationships,
attitudes, and written and
unwritten rules that shape
and influence behaviour.
4. • Equitable access.
• Identity and access
management.
• System integration
• Mobile and ‘touch’ technologies
• Big Data and analytics
• 3D printing
• Digital engagement
• Virtual and mixed reality
platforms
The pervasive nature of change
that occurs when a new
technology is introduced – it is
not additive, it is ecological.
6. • Computational Thinking
• Future workforce
• Sustainability
• “Open-ness”
The way we generate wealth
and the skill sets required to
contribute to this are key
elements in any economy.
7. • Networked communities.
• Community focus.
• Charter schools.
• Private Public Partnerships.
• Alternative forms of
assessment.
• Learning record stores
Educational institutions are by
nature, very reliant on the
structures that give them their
identity and serve to support
what they do and the way
they do it.
11. Call centres and AI
• AI is now helping to predict
customer behaviour on the
phone, to provide
recommendations to the
customer service reps on
how best to deal with the
issue.
http://www.computerweekly.com/opinion/How-AI-is-disrupting-the-role-of-call-centres-
and-call-centre-staff
14. AI and publishing…
The Associated Press uses Automated Insights’
Wordsmith platform to create more than 3,000
financial reports per quarter. It published a story
on Apple’s latest record-busting earnings within
minutes of their release. Forbes uses Narrative
Science’s Quill platform for similar efforts and
refers to the firm as a partner.
https://www.nytimes.com/2015/03/08/opinion/sunday/if-an-algorithm-wrote-this-how-
would-you-even-know.html
18. Ethical dilemmas…
• What happens after the end of jobs?
• How do we distribute the wealth created by machines?
• How do machines affect our behaviour and interaction?
• How can we guard against mistakes?
• How do we eliminate AI bias?
• How do we keep AI safe from adversaries?
• How do we protect against unintended consequences?
• How do we stay in control of a complex intelligent system?
• How do we define the humane treatment of AI?
https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/
28. Digital vs Human
• “It’s all progress… but progress
towards what?”
• “It’s true that technology is neutral –
but only if you take humans out of the
equation.”
• “We need a broader debate about
what is happening with technological
developments.”
https://www.amazon.com/Digital-Human-well-think-future-ebook/dp/B01D0IEO00