Artificial Intelligence & Humanity

First draft towards a definition

Task Force Chair

Fabio Gómez-Estern Loyola 

Prepare engineers to detect sources of injustice in artificial intelligence and big data systems. 

These sources of injustice often appear integrated into these algorithms as feedback loops that reinforce the poverty traps. For example, banks provide credit to people based on the past behavior of members of their community. With this mechanism, members of communities deprived of their rights would be excluded from opportunities for improvement.

Analyze the other societal risks linked to the digital transformation: manipulation of free will and opinion through social networks, unlimited monitoring, etc.

Analyze and propose solutions to the risks of unemployment due to advances in automation, 

both by transforming education and by studying new ways or by organizing savings and production.

Propose and develop tools to help decision making based on vertuous algorithms that reinforce solidarity and justice.

Benefit from new technologies to help the poor: 

AI support for frugal innovation, propagation of intelligent agriculture to developing countries, applying of big data analysis to explore the economy of fragile communities, modeling of the effects of climate change…

In short, the challenges related to artificial intelligence are: 

a) developing a sense of justice in a digital world, 

b) Benefiting from technology for strengthening solidarity action.