In the past five years, private companies, research institutions and public sector
organizations have issued principles and guidelines for ethical artificial intelligence (AI) …

Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …

Current advances in research, development and application of artificial intelligence (AI)
systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of …

Artificial intelligence (AI) and people's interactions with it—through virtual agents, socialbots,
and language-generation software—do not fit neatly into paradigms of communication …

In recent years, the problem of addressing fairness in machine learning (ML) and automatic
decision making has attracted a lot of attention in the scientific communities dealing with …

We commonly think of society as made of and by humans, but with the proliferation of
machine learning and AI technologies, this is clearly no longer the case. Billions of …

An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …

This paper examines the ethical solutions raised in response to OpenAI's language model
Generative Pre-trained Transformer-3 (GPT-3) a year and a half from its release. I argue that …

This paper explores the question of ethical governance for robotics and artificial intelligence
(AI) systems. We outline a roadmap—which links a number of elements, including ethics …