Showing posts with label
tech as reflection of values principles interests biases of its creators.
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Showing posts with label
tech as reflection of values principles interests biases of its creators.
Show all posts
Joaquim Bretcha, Research World; Transformation and the Fourth Industrial (Data) Revolution
Opening speech at ESOMAR’s Congress in Edinburgh...
"Which core values must we keep as fundamental in order to maintain our
essential Identity? I believe the two central values we must retain are:
- Human centricity: The honest willingness to understand people
- Ethics
Let me focus on ethical
behaviour. Today it seems that technology is everything. The current business
culture makes us believe that our companies will lose market share if they do
not invest heavily in Artificial Intelligence and automation. And as it was
certain with the steam machines in the First Industrial Revolution, it might be
certain in the Fourth. However, allow me to reinforce one message: Technology
is NOT neutral. Technology is the
reflection of the values, principles, interests and biases of its creators."
Marc Teerlink, SAP, Global Vice President of Intelligent Enterprise Solutions & Artificial Intelligence, Forbes; Ethics In AI: Why Values For Data Matter
"The Double-Edged Sword of AI and Predictive Analytics
This rising impact can be both a blessing and a concern. It is a blessing — for example when AI and Predictive analytics are using big data to monitor growing conditions, to help an individual farmer make everyday decisions that can determine if they will be able to feed their family (or not).
Yet it can also be real concern when biased information is applied at the outset, leading machines to make biased decisions, amplifying our human prejudices in a manner that is inherently unfair.
As Joaquim Bretcha, president of ESOMAR says, “technology is the reflection of the values, principles, interests and biases of its creators”...
What’s the takeaway from this? We need to apply and own governance
principles that focus on providing transparency on how Artificial
Intelligence and Predictive Analytics achieve its answer.
I will close by asking one question to ponder when thinking about how to treat data as an asset in your organization:
“How will machines know what we value if we don’t articulate (and own) what we value ourselves?” *
Dig deeper: Want to hear more on ethics in AI, transparency, and treating data as an asset? Watch Marc’s recent masterclass at Web Summit 2019 here.
*Liberally borrowed from John C Havens “Heartificial Intelligence”"
