In the swiftly evolving digital landscape, the advent of generative artificial intelligence (GenAI) is heralding unprecedented changes in how we interact, work, and innovate. However, this technological renaissance brings to the fore a critical yet often overlooked aspect: widening the existing digital divide.
How will generative AI affect elections? On the evening of the European Parliament elections, the alarms are sounding.
We must question the assumption that the success of digital economy and policy is best assessed by counting how many digital multinationals a region has managed to give birth to.
European digital and internet policies must consider digital policy and infrastructure in the Middle East, particularly in the Gulf region, expanding the geographical and regulatory frontiers of the European digital space discussions.
This op-ed problematizes performance metrics in the field of synthetic data — including such measures as synthetic data utility, quality, and fairness — and argues that these are more than neutral descriptions.
In light of the need for resilient and sovereign digital infrastructure for public institutions during times of multiple crises, Free/Libre Open-Source Software (FLOSS) offers a way for institutions to lessen their dependence on platform economies.
Introduction
From negative impacts on teenagers’ mental health to the abuse of data collection for political microtargeting and potentially abetting genocide against the Rohingya: in the past decade, online platforms like In
Recent public discourse on social media sounds somewhat dystopian: Facebook, TikTok, Instagram and co. knowingly use manipulative design features and algorithms to keep users hooked. Children and young people are particularly susceptible to this — staring at their screen for countless hours, they become addicted, depressed, and plagued by anxiety. Losing control over their own behaviour, they neglect other activities. A problem so serious that politicians need to intervene.
According to recent studies, Generative Artificial Intelligence (AI) output discriminates against women. On testing ChatGPT, terms such as “expert” and “integrity” were used to describe men, while women were associated with “beauty” or “delight”. This was the case while using the Large Language Model, Alpaca, a model developed by Stanford University to produce recommendation letters for potential employees.