There are many definitions of social sustainability and each highlights process aspects, or more reporting aspects, or institutional aspects, or relationships with stakeholders or connections with the other pillars, environmental and economic.
In any case, there is an internal dimension which mainly concerns socially responsible practice with repercussions on employees and an external dimension towards commercial partners and suppliers, customers, public authorities and nonprofit’s representing the local community. It is important for the company to create a positive image both as an employer and producer but also as a protagonist of local life.
According to a more typically economic-business approach, social sustainability can be defined as the pro-active and dynamic result of the social strategy understood as that aimed at obtaining a lasting consensus on the part of the various categories of stakeholders who make available to the company the resources and support it needs. Furthermore, considering that the roots of social strategy and therefore of socially responsible behavior are found in the underlying strategic orientation of a company, in the time horizon of management, in the conception of corporate purpose, in the underlying attitude of greater or lesser respect and attention towards the various stakeholders.
On the other hand we use Artificial intelligence (AI) as technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy.
Mainly the studies have compared the relationship between AI and economic sustainability and between AI and environmental sustainability.
The frontier of social sustainability, however, has been little explored due to some well-known difficulties: very broad perimeter, difficulty in measurement, very high correlations between social factors, as McKinsey notes in its latest report entitled “AI for social good: Improving lives and protecting the planet”, the application of AI can have high potential for at least three SDGs of a social nature: health and well-being (SDG 3), Quality Education (SDG 4) and Sustainable Cities and Communities (SDG 11).
So, we want to draw research attention to the relationship between Social Sustainability and AI.

Maria Zifaro, Mercatorum University, Italy
Andrea Presciutti, Mercatorum University, Italy
Giovanni Spatola, Mercatorum University, Italy
Giuseppe Ambrosio, Mercatorum University, Italy