In the past, individuals have over predicted artificial intelligence, but it does not mean that artificial intelligence in constructing machine has proved greater than the pioneers foresaw. Even in the theme of humanoid robot usefulness – considered at a short term – is not always very clear which solutions they best fit in. Nevertheless, to the majority of us (without any surprise), one thing is crystal clear: the progress in Artificial Intelligence appears to be an ineluctable movement that will manifest – in the long term – autonomous behaviours and higher embodied adaptivity.
In the latest years the literature on robots and education has addressed the inspiring possibility to insert robots as educators in classes. However, a full list of case studies – despite the ones of Saya in Japan and ARTIE at the Oxford Brooks University – have been lacking so far. This post aims to address this relationship, somehow complex and for lots barely possible, following a fil rouge aiming to highlight how the harmonious interactions between robot teachers and schoolers aren’t far from being a concrete possibility. Designed to appear and move like humans, and already well equipped to support education, they seems to face yet one major challenge: propose a model -being in control of its premises – and consider which design could let this pedagogy to blossom in hybrid contexts.
Integrate social robots in human societies requires their capability to decide to take actions that might affect people’s lives and that – mainly for this reason – should behave according to shared ethical principles that play a role during a decision-making process. One of the reasons why, technical robotics performance should take per hand ethical transparency to place human values and needs at the core of social robot design.
Our economy is undergoing a digital upheaval that will permeate, and even change, the type of industries we nowadays proclaim to know in-depth. The post of today will explore what is intended as Industry 4.0, clarifying a bit this term that usually stands for the fourth industrial revolution.
In this post we will explore together main differences defining machines and robots, focusing on their interventions in our complex society.
Bits of codes aren’t themselves information: their value is defined by what we extract from them. Within this frame of reasoning, after the noise is filtered out, bits are meaningful leftovers.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, in particular computer systems. These processes include learning (identify information and rules to use them), reasoning (refer to these rules to reach approximate or bounded conclusions) and accurate rectification of boundaries.