In this paper, we critique ICT's current and projected climate impacts. Peer-reviewed studies
estimate ICT's current share of global greenhouse gas (GHG) emissions at 1.8%–2.8% of …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Over a million species face extinction, highlighting the urgent need for conservation policies
that maximize the protection of biodiversity to sustain its manifold contributions to people's …

The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

Building artificial intelligence (AI) that aligns with human values is an unsolved problem.
Here we developed a human-in-the-loop research pipeline called Democratic AI, in which …

Over the last few years, the European Journal of Information Systems (EJIS) has gone
through substantial changes (Ågerfalk, 2018). What, then, could be more appropriate than to …

In recent years, machine learning has proven to be a powerful tool for deriving insights from
data. In this review, we describe ways in which machine learning has been leveraged to …

High-fidelity computer-aided experimentation is becoming more accessible with the
development of computing power and artificial intelligence tools. The advancement of …

In this report, we examine the available evidence regarding ICT's current and projected
climate impacts. We examine peer-reviewed studies which estimate ICT's current share of …

Sustainable Development (SD) in its dimensions–environment, economy, and society–is a
growing area of concern within the HCI community. This paper advances a systematic …