Showing posts with label predictive analytics. Show all posts
Showing posts with label predictive analytics. Show all posts

Friday, August 23, 2024

Crossroads: Episode 2 - AI and Ethics; Crossroads from Washington National Cathedral, April 17, 2024

 Crossroads from Washington National CathedralCrossroads: Episode 2 - AI and Ethics

"Tune in for the Cathedral's first conversation on AI and ethics. Whether you are enthusiastically embracing it, reluctantly trying it out, or anxious about its consequences, AI has taken our world by storm and according to the experts, it is here to stay. Dr. Joseph Yun, CEO of Bluefoxlabs.ai and AI architect for the University of Pittsburgh, the Rev. Jo Nygard Owens, the Cathedral's Pastor for Digital Ministry, and Dr. Sonia Coman, the Cathedral's Director of Digital Engagement discuss the state of AI, its risks, and the hope it can bring to the world."

Wednesday, January 15, 2020

Ethics In AI: Why Values For Data Matter; Forbes, December 18, 2020

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”"