Goto

Collaborating Authors

How to Break Out of Your Social Media Echo Chamber

WIRED

Many people love social media because their feeds are a safe space to share pictures of celebrities who #stayhome wearing masks, discuss the Black Lives Matter protests, and strategize to solve climate change. And many people love social media because their feeds are a safe pace to share pictures of celebrities #tricked into wearing masks, discuss the Black Lives Matter rioters, and strategize to stop the climate change hoax. It's a tale of two feeds, because thanks to confirmation bias and powerful proprietary algorithms, social media platforms ensure we only get a single side of every story. Even though most Americans continue to describe themselves as holding balanced views, we still naturally gravitate toward certain content online. Over time, algorithms turn slight preferences into a polarized environment in which only the loudest voices and most extreme opinions on either side can break through the noise.


Ethical AI, Monetizing False Negatives and Growing Total Addressable Market

#artificialintelligence

What if I told you that companies that don't embrace Ethical AI are leaving significant amounts of "Money on the Table"; that they are not only missing out on potentially profitable customers, but that over time they are eroding their Total Addressable Market (TAM)? Do I have your attention now? After I published the blog "The Ethical AI Application Pyramid", a question from Karrie Sullivan coupled with a mentoring session with the startup unfog.ai "If your AI model doesn't take into consideration the ultimate outcomes of the AI model's False Negatives, then confirmation bias in the AI model could set in and eventually the company's Total Addressable Market (TAM) could shrink to a point where the business might no longer be viable." Yea, not only is Ethical AI the right thing to do from a cultural and society perspective, but there are direct bottom-line financial ramifications if your AI models are not learning and adapting from the AI model's False Negatives.


Ethical AI, Monetizing False Negatives and Growing Total Addressable Market

#artificialintelligence

What if I told you that companies that don't embrace Ethical AI are leaving significant amounts of "Money on the Table"; that they are not only missing out on potentially profitable customers, but that over time they are eroding their Total Addressable Market (TAM)? Do I have your attention now? After I published the blog "The Ethical AI Application Pyramid", a question from Karrie Sullivan coupled with a mentoring session with the startup unfog.ai "If your AI model doesn't take into consideration the ultimate outcomes of the AI model's False Negatives, then confirmation bias in the AI model could set in and eventually the company's Total Addressable Market (TAM) could shrink to a point where the business might no longer be viable." Yea, not only is Ethical AI the right thing to do from a cultural and society perspective, but there are direct bottom-line financial ramifications if your AI models are not learning and adapting from the AI model's False Negatives.


How to Boost Customer Confidence With Amazing Order Confirmation Emails

#artificialintelligence

The eCommerce industry is booming. New shopping portals come up each day which has intensified the competition amongst marketers. If you want your online store to survive this competition, you need to build trust with your customers. Customers don't like to invest their money in buying products or services from sites that they don't trust. So, it's important for you to boost your customers' confidence and build a solid foundation for your business.


Fake news: How our brains lead us into echo chambers that promote racism and sexism

USATODAY - Tech Top Stories

A new study by MindEdge reveals that your critical thinking skills may not be as good as you think? Tony Spitz has the details. This is one of the Russian Facebook ads intended to stir dissension in the U.S. (Photo: Facebook) Both the American Dialect Society and Collins Dictionary named "fake news" as its word of the year for 2017. It's a term that wasn't part of the popular lexicon even 18 short months ago, but fake news has spread like a deadly infection. One of the runners-up for word of the year was "echo chamber," referring to a sort of bubble where people live with exposure only to their own opinions and those who subscribe to the same ideas.