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Australia’sNational ScienceAgency
Digital
technologies
and a data
driven future
Prof Jon Whittle
Director CSIRO's Data61 | 2020
Risks becoming opportunities
0
50
100
150
200
250
Mar-2014 Mar-2015 Mar-2016 Mar-2017 Mar-2018 Mar-2019 Mar-2020
StockPriceIndex(basedat100on21Mar2014)
S&P/ASX 300 S&P/ASX All Technology Index
19June2020
DataSource:S&PDowJonesIndices
Comparison of digital technologysector against the general market
Slide credit: Stefan Hajkowicz
Digital technology-led growth
“A lesson from the 2008 financial crisis was that countries with weaker
innovation systems suffered more from it and that subsequent R&D budget
reductions made them unable to build the innovation systemsthey would
need to become more resilient, knowledge-based economies.”
United Nations Conferenceon Tradeand Development, Policy Brief No. 80
Digital transformation underpinned by:
RiskLab Smart Ear TagsDigital TwinConsumer Data Right
How Digital is Transforming Industries
AI and industry
What is AI?
Planning Reasoning
Vision
Examples vs
rule-based
approach
Spark – bushfire spread prediction Fast Glider – coral reef surveying Structural monitoring sensors –
The Harbour Bridge
Robotics and autonomous systems
for subterranean environments
How is AI transforming industries
A brief history of AI's ups and downs
Source:
https://towardsdatascience.com/history-of-
the-first-ai-winter-6f8c2186f80b
How AI is Transforming Finance
Regulatory
Compliance
Fraud detection
Personalized
banking
Quantitative
trading
Managing risk
Credit decisions
Australia’s AI Ethics Principles
Towards bestpractice for ethical design and application of artificial intelligence
1. Human, social and environmental wellbeing
2. Human-centred values
3. Fairness
4. Privacy protection and security
5. Reliability and safety
6. Transparency and explainability
7. Contestability
8. Accountability
Slide credit: Stefan Hajkowicz
Take Aways
- AI is good at specific tasks, not
general ones
- AI is good when 100% accuracy
isn't necessary
- Applying AI works best with
human-in-the-loop
- AI requires expertise; not just off-
the-shelf
Australia’sNational ScienceAgency
Thank you
Prof Jon Whittle, Director of CSIRO's Data61

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Digital Technologies and a Data Driven Future

  • 1. Australia’sNational ScienceAgency Digital technologies and a data driven future Prof Jon Whittle Director CSIRO's Data61 | 2020
  • 2. Risks becoming opportunities 0 50 100 150 200 250 Mar-2014 Mar-2015 Mar-2016 Mar-2017 Mar-2018 Mar-2019 Mar-2020 StockPriceIndex(basedat100on21Mar2014) S&P/ASX 300 S&P/ASX All Technology Index 19June2020 DataSource:S&PDowJonesIndices Comparison of digital technologysector against the general market Slide credit: Stefan Hajkowicz
  • 3. Digital technology-led growth “A lesson from the 2008 financial crisis was that countries with weaker innovation systems suffered more from it and that subsequent R&D budget reductions made them unable to build the innovation systemsthey would need to become more resilient, knowledge-based economies.” United Nations Conferenceon Tradeand Development, Policy Brief No. 80
  • 5. RiskLab Smart Ear TagsDigital TwinConsumer Data Right How Digital is Transforming Industries
  • 7. What is AI? Planning Reasoning Vision
  • 9. Spark – bushfire spread prediction Fast Glider – coral reef surveying Structural monitoring sensors – The Harbour Bridge Robotics and autonomous systems for subterranean environments How is AI transforming industries
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  • 12. A brief history of AI's ups and downs Source: https://towardsdatascience.com/history-of- the-first-ai-winter-6f8c2186f80b
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  • 15. How AI is Transforming Finance Regulatory Compliance Fraud detection Personalized banking Quantitative trading Managing risk Credit decisions
  • 16. Australia’s AI Ethics Principles Towards bestpractice for ethical design and application of artificial intelligence 1. Human, social and environmental wellbeing 2. Human-centred values 3. Fairness 4. Privacy protection and security 5. Reliability and safety 6. Transparency and explainability 7. Contestability 8. Accountability Slide credit: Stefan Hajkowicz
  • 17. Take Aways - AI is good at specific tasks, not general ones - AI is good when 100% accuracy isn't necessary - Applying AI works best with human-in-the-loop - AI requires expertise; not just off- the-shelf
  • 18. Australia’sNational ScienceAgency Thank you Prof Jon Whittle, Director of CSIRO's Data61