Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other …
BC Stahl, D Eke - International Journal of Information Management, 2024 - Elsevier
This article explores ethical issues raised by generative conversational AI systems like ChatGPT. It applies established approaches for analysing ethics of emerging technologies …
As individuals and communities interact in and with an environment that is increasingly virtual, they are often vulnerable to the commodification of their digital footprint. Concepts …
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
A Jungherr - Social media+ society, 2023 - journals.sagepub.com
The success and widespread deployment of artificial intelligence (AI) have raised awareness of the technology's economic, social, and political consequences. Each new step …
Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates systemic discrimination in automated decision‐making, providing opportunities to improve …
This paper examines technological acceptance for automated emotion-sensing devices and non-conscious data collection (NCDC). We argue that conventional 20th century scholarship …
FM Simon - Digital journalism, 2022 - Taylor & Francis
Platform companies play an important role in the production and distribution of news. This article analyses this role and questions of control, dependence and autonomy in the light of …
By utilizing a massive corpus of textual data, large language models can generate unique human-like outputs to questions and interact with users in a natural conversational way …