One of the reasons why it is so difficult to develop human-centric AI systems is that such systems need to "understand" the world and human activities in a way that is compatible with how humans make sense of the world.

Inequality-related narratives can be created, circulated and employed at two distinct but intertwined debate levels. The first one is made by scholarly and scientific debates, which are mostly carried out by academic researchers and field experts, specialised in the measurement, analysis and modeling of specific types of inequalities, like inequalities of access to health and care services.

The activities of people as well as of artificial agents in reality, virtual reality or simulation can be recorded as data that discretize trajectories of body parts and the ensuing force events. While these data provide vast amounts of information they are, by themselves, meaningless.

We are constantly building a posteriori stories about how events happened, and about how you can make connections to come up with a coherent whole. To some extent, it is an extension of the Five W's - Who? What? When? Where? Why? -, the five questions that are considered the most basic in problem solving.

Within the framework of "Aqua Granda, a digital community memory" initiative, launched in November 2020 by the EU H2020 ODYCCEUS project and Science Gallery Venice, among the main outputs is a book, available in open access.

Part of the MUHAI objectives is developing tools to help humans understand media materials, such as tweets or  articles, on critical social issues, in particular socio-economic inequality.

AI (Artificial Intelligence) researchers try to understand the structures and processes that underlie intelligence and use that insight to build practical applications. Much has already been achieved. But much remains to be discovered.

If the term “scientific” usually attracts our attention, the term “artificial” often alerts us, making us think of a world where human beings are at the margin and robots at the center.

Why are the neighbourhoods in some cities sharply divided along income boundaries, while in other cities not? Was this always the case in different periods of history? And in different cultures? Has social mobility increased or decreased over time? Why does life expectancy correlate with income?

Many people believe AI (Artificial Intelligence research) started quite recently, like five years ago. But in fact the field has already had 70 years of fascinating history.

If the proof of the pudding is in the eating then the ultimate test for understanding an instruction is its proper execution. This view greatly expands the scope of natural language understanding

It started in the summer of 2030. Cecile’s daughter Lucilla had visited her mother’s wonderful home in a small town in the south of France and noticed that she was occasionally very absent-minded, forgetting things and behaving in a disoriented and erratic way, even for routine every day household tasks like cooking. Lucilla found a stove turned on without anything on it, several cups of half-drunk coffee around the living room, a pot with raw eggs and sugar. Her brother Juha had noticed similar unusual situations, including a chicken in the oven that had been roasted until black.