In reaction to concerns about a broad range of potential ethical issues, dozens of proposals
for addressing ethical aspects of artificial intelligence (AI) have been published. However …

Responsible AI must be able to make or support decisions that consider human values and
can be justified by human morals. Accommodating values and morals in responsible …

Artificial intelligence (AI) represents a technological upheaval with the potential to change
human society. Because of its transformative potential, AI is increasingly becoming subject …

The problem of algorithmic bias represents an ethical threat to the fair treatment of patients
when their care involves machine learning (ML) models informing clinical decision-making …

Background Artificial intelligence (AI) has repeatedly been shown to encode historical
inequities in healthcare. We aimed to develop a framework to quantitatively assess the …

When algorithmic harms emerge, a reasonable response is to stop using the algorithm to
resolve concerns related to fairness, accountability, transparency, and ethics (FATE) …

There has been a surge of recent interest in sociocultural diversity in machine learning
research. Currently, however, there is a gap between discussions of measures and benefits …

Around two thirds of NLP research at top venues is devoted exclusively to develo**
technology for speakers of English, most speech data comes from young urban speakers …

Optimism about our ability to enhance societal decision‐making by leaning on Machine
Learning (ML) for cheap, accurate predictions has palled in recent years, as these …

The now well-known impossibility results of algorithmic fairness demonstrate that an error-
prone predictive model cannot simultaneously satisfy two plausible conditions for group …