While artificial intelligence (AI) has been heralded as a technology capable of solving unique problems, social good challenges are inherently structural and require the partnership of many stake- holders in order to apply AI for social good (AI4SG) in a...
The increasingly widespread use of Natural Language Processing (NLP) in AI applications must be continually monitored for biases and false associations, especially those surrounding protected or disadvantaged classes of people. We discuss methods and...
A neglected dualism is occurring in AI for Social Good involving the lack of encompassing both the role of artificial moral agency and artificial legal reasoning in advanced AI systems. Efforts by AI researchers and AI developers have tended to focus on...
As fairness and discrimination concerns permeate the design of both machine learning algorithms and mechanism design problems, we discuss differences in approaches between these two fields. We aim to bridge these two communities into a cohesive narrative...
The Google Trends data of some keywords have strong correlations with COVID-19 hospitalizations. We attempt to use these correlations and show an experimental procedure using a simple LSTM model to nowcast hospitalization peaks using Google Trends data...
People often turn to social media to comment upon and share information about major global events. Accordingly, social media is receiving increasing attention as a rich data source for understanding people’s social, political and economic experiences of...
Artificial intelligence (AI) is already part of our daily lives and is playing a key role in defining the economic and social shape of the future. In 2018, the European Commission introduced its AI strategy able to compete in the next years with world...
The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligence can be used to tackle the pandemic with applications at the molecular...
In this paper we consider the problem of forming student teams adequate for company internship tasks. First, we provide a formalisation of the Feasible Team-For-Task Allocation Problem, and show the computational hardness of solving it optimally...
There is widespread acceptance that data from earth observation satellites, combined with artificial intelligence, have the potential to play an important role to enable the quantification of the United Nations Sustainable Development Indicators (SDIs)...
Artificial Intelligence (AI), as a collection of tech- nologies, but more so as a growing component of the global mode of production, has a significant im- pact on gender, specifically gendered labour. In this position paper we argue that the dominant...