A week ago I was making some research about algorithms and artificial intelligence and found a wonderful concept called environmental robotics. Let’s discover more. Since I work as media consultant for companies and web agencies I make a lot of research. That’s why I read an interesting article on TechCrunch called Algorithmic feeds force us to compete. As the title states, the article is focused on the role of algorithms in digital marketing and how significant changes in the algorithms affect both users and advertisers.
We will discuss about it at the end of the post, but now let’s talk about a wonderful project called Machine Wilderness. Machine Wilderness is a research project that explores the intersections of nature, humanity and technology, led by Theun Karelse, Alice Smits, Ivan Henriques, Judith van der Elst and Raoul Frese.
The project is focused on the concept of environmental robotics and aims at exploring the design of hybrid organisms that relate to specific habitats. The research involves a mix of artists, engineers, philosophers and ecologists.
As stated in the project home page,
“The challenges associated with the anthropocene make evident that the Earth’s systems are not separable. Natural processes flow unstoppably into human infrastructures and whatever human culture produces is embedded within natural systems”
(I already spoke about anthropocene here)
That’s really make sense. Nature, humanity and technology are meta systems part of a greater system that we can call Earth. In this perspective, the concept of environmental robotics can be extended (in my view) to everything mixing nature, humanity and/or technology.
Coming back to the TechCrunch article, significant shifts in algorithms have deeper consequences on our daily life.
Sound obvious, since our daily life is based on algorithms. But the emergence of disruptive technologies in fields such as robotics and artificial intelligence poses new questions about how we can truly rule innovation processes that have a deep impact on ourselves.
I truly think it makes sense.