We liked this LinkedIn’s post and wanted hereafter to share our takeaways (@X refers to the Big Idea X):
A. The desire for Trust in Businesses.
Via paying local taxes and regulations @#9. “Governments will seize the opportunity to regulate Big Tech.” and @42. “Order comes to the Wild West of data collection”
Via a clear fear of sizes getting too big “before it’s outside our control and we can’t see the consequences of it” @31. “Businesses will favor integrity over growth.”
B. The desire for Trust in exchanges.
@37. “We will reach peak outrage.
In the last couple of years, public opinion has been driven by “polarized tribes,” says Willow Bay, dean of the USC Annenberg School of Communication and Journalism: “Outrage has been modified, optimized, personalized and, of course, monetized.” Outrage, like fear, is helpful in the short term but unsustainable in the long term, she says. “Many do not want to live in a state of semi-permanent outrage, they’re simply tired of it,” she adds. “And I believe increasingly, people are going to want to reclaim consensus, collaboration and shared values rather than polarizing ones.” While Bay is referring to the United States, any country where people discuss politics on social media will recognize a version of this. She points to a study by More In Common which showed that 67% of Americans did not conform to partisan ideology or had disengaged from politics. They’ve been dubbed the “exhausted majority.””
C. The desire for Trust in Brands
@45. “Brands won’t be able to stay neutral. Consumers and employees increasingly expect companies to take a position on the day’s issues and live their values…”
This needs for Brand values to be shared and stood for is in line with the role of Brands as explained and applied by Edward Bernays.
Of course, Brands applies to media brands and thus the need to profile them to build your perimeter of trust, mandatory to feed your analytic tools and guarantee your Brand Safety. This is what TrustedOut is about.
The need for AI.
@#7. “AI will be in every industry and every job”. Of course, we agree. We are using AI to avoid human physical limitations and bias.
Another way to say it is we believe AI is an element of the desire for Trust.
The need for ethic in AI.
We are aware of the risk of a fraudulent, oriented AI. IBM launched a tool to detect bias in AI , the excellent “Weapons of Math Destruction” (PDF here) and many more… This is why transparency with our AI is key to us, we will not have human entries so everything can be explained, nothing will be editorialized, no judgment, just collections and classifications machine-driven.
This is also why we were super proud to be finalist at the recent “The Robot of the Year” event, focused on Ethic AI.
Reminder: We solely focus on media profiling and are not doing any article fact checking, nor author scoring (Question #4 in our FAQ)