NZBusiness+Management - June 2018

JUNE 2018 | management.co.nz | M 11

MANAGEMENT

ETHICS

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They are intended to augment human

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• Transparency: Developers must be
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  inform their systems and about the
  algorithms that fashion the data into
  insight.


• Skills: Developers of AI applications
  should accept the responsibility of
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  with AI.
  As AI supplements human-decision
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  feed the system training data to help
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  the data for sources of potential bias. AI
  actually provides the means for bias to
  be mitigated or even engineered out of
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  as an unprecedented opportunity to shed
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  algorithmically detected and corrected.
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  one conclusion over another and have
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  foundation of their algorithm’s decision-
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  are critical to public acceptance and
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  in use.
  Transparency of data ownership is
  also critical. Data represents competitive

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organisation’s data is responsible for

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privacy with Watson allows businesses

to train their own AI models versus

contribute their data to a central

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own critical information private and

proprietary. Your data stays your data.

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in applying principle-based ethics to

AI to help companies navigate the

societal impacts of the type of AI they

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guiding the development of AI to the

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to assist employees with the coming

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indicates that the number of people

displaced by AI will be modest in the

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indirectly in other sectors.

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foreseen the current demand for social

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What is clear is that organisations need

to review their approach to developing

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career paths and start planning now.

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implications and many of the questions

it raises are unanswerable today and will

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to answer. The business community and

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responsible stewards of public and private

data. I encourage everyone to download

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their organisation to ensure New Zealand

engages with AI effectively to shape a

prosperous and thriving future. M

Isuru Fernando is the AI and analytics

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The report found

that 75 percent of

irms in New Zealand

believe AI will be a

game-changer in

their organisation.

However, among

organisations

considering AI only

28 percent are

having board level

discussions."

[email protected]

18

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