[PDF] Atelier scientifique n°4 Sciences sociales et Intelligence artificielle

How to deploy artificial intelligence for social innovation projects?

• Drawn from these, therefore, we derive four approaches to deploy artificial intelligence for social innovation projects using the different levels of uncertainty and stakeholder conflict as follows: an agent-based modeling (ABM) approach, a social entrepreneurship approach, a stakeholder capital approach, and a social contract approach.

What is the relationship between artificial intelligence and Commu-nication?

• For more than 70 years, the study of artificial intelligence (AI) and the study of commu-nication have proceeded along separate trajectories. Research regarding AI has focused on how to reproduce aspects of human intelligence, including the ability to communi-cate, within the machine (Frankish and Ramsey, 2014).

What is artificial intelligence (AI)?

• The term AI is polysemous, encompassing efforts to understand human intelligence by recreating a mind within a machine and to develop technologies that perform tasks asso-ciated with some level of human intelligence (Broussard, 2018; Frankish and Ramsey, 2014).

What are the ethical challenges of artificial intelligence?

• We also find that there are overarching ethical themes, namely consent, fairness and rights, that cut across the challenges we identify. We ask how users can give meaningful consent to an AI where there may be an element of autonomy in the algorithm’s decisions, or where we do not fully understand these decisions.