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 …
T Hagendorff - Minds and machines, 2020 - Springer
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 …
AL Guzman, SC Lewis - New media & society, 2020 - journals.sagepub.com
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 …
AFT Winfield, M Jirotka - Philosophical Transactions of …, 2018 - royalsocietypublishing.org
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 …