at the intersection of technology, business, and society
Back in 2002, Carlota Perez published an original, daring and bold concept that describes our long-term social development. For her, technology, economy, and society each play a vital role, each of them by itself drives change, as much as it is driven by the changes of the others. Here’s a very initial introduction to her thinking.
Our ideas of value, what it is and how it is generated in the economy, have changed over time. Today’s dominant school of thought, neoclassical economics, lost sight of these decisive questions, as Mariana Mazzucato argues in her 2018 ‘The Value of Everything’. But there are some very recent promising signs that we are starting to have a renewed debate about value and how we want the economy to work for all of us.
Steven Johnson investigated the types of environment that nourish fledgeling innovations, and presented his analysis in “Where Good Ideas Come From”. In his conclusions he explores the available data on about 200 of the most important good ideas of the past 600 years and derives some insightful advice for fostering innovation in the 21st century.
As innovators, we build our future progress on our predecessors’ past achievements thanks to humankind’s unique capability of social learning, of sharing experiences and ideas. Today, we rely heavily on computers, databases, and the internet to facilitate and accelerate whatever we do. And that includes our social learning capabilities and our creative skills. Hence it’s high time to critically assess technology’s impact and to formulate our expectations: How do we employ technology to support our innovative endeavours? What do we demand? And what can we realistically hope for?
Artificial Intelligence (or AI) is hotly debated for all the promise it holds and the concerns it raises. Opinions abound, and they range widely. From hailing AI as the harbinger of an entirely new level of human development, to cursing AI as ushering in the end of all human civilisation. Today, I’ll highlight three recent contributions to the AI discussion that remind us of the wide-open option space we have for policies that can shape the AI we want to have in the future.
understanding innovation 