In this new collection of articles, we understand that change can only come from ourselves for the most critical situations and issues we face. It requires to smartly select, develop and grow the technological as well as human competences we have at hand. It requires to understand and manage the limits they impose, as well as complying with a set of values built on trust while being inspired by nature.
#1 A change dependent on ourselves as readers
Are you upset about this election? Are you upset about the direction of this society? Then fix it. You’re a reader.
Read more: The Literacy of Long-Form Thinking, James Patterson, TIME Magazine
#2 Technologies affecting work collaboration
How might the way we work, hire and collaborate change in the future? These are questions that need to be asked inside organization because the industries of the future, driven by artificial intelligence, big data, blockchain and genetics, will shape the Next Economy.
Read more: 10 emerging technologies that will drive the next economy, Jorge, Game Changer
#3 The issue with hiring
Partner Dan Hynes argues that the number of programmers, developers, and engineers isn’t the challenge but rather the way companies engage with prospective talent and how they hire people. According to Hynes, there’s a hiring problem, not a supply problem.
Read more: LIFE Project: Is there really a talent shortage in Europe? Startup Europe Club
#4 Trust as a core engine
“There is no new entrepreneur that doesn’t need to respect his or her community. Hacking the system, yes. People, no.”
#5 Inspired by nature
“Nature is a library, read it instead of burning it.”
#6 A technological climax
We’re at an interesting transition point where we are moving from using our tools as passive extensions of ourselves, to working with them as active partners.
Read more: The combination of human and artificial intelligence will define humanity’s future, Bryan Johnson, TechCrunch
#7 Human and technological biases
The director of the Internet Ethics program at Santa Clara University says that “algorithms that claim to pick up human emotions are deeply problematic.” They may have biases of their own: those of the programmers.
Read more: The Happiness Algorithm, Adam L. Brinklow, San Francisco Magazine
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