This paper empirically explores how AWS, Microsoft Azure, and Google Cloud strategically attempt to operationalise infrastructural power in AI development and implementation through their ecosystems for cloud AI.
News and Research articles on Artificial intelligence
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.
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.
Focusing on recommender systems used by dominant social media platforms as an example of high-reach AI, this study explores the directionality of transparency provisions introduced by the Digital Services Act and highlights the pivotal role of oversight authorities in addressing risks posed by high-reach AI technologies.
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.
Declaration
This work was based on the research developed in the framework of PNRR/NextGenerationEU project "Biorobotics Research and Innovation Engineering Facilities “IR0000036” – CUP J13C22000400007".
Brazil is currently examining a comprehensive AI bill to establish a rights-based and risk-based regulatory framework. In contrast to notions of legal transplant or the influence of the Brussels effect, Brazil seeks to carve its own path, addressing the nation's distinct challenges and opportunities.
Bloomberg has recently reported that Visa has 90 million disputes annually. The resolution of so many disputes requires an innovative dispute resolution method: CODR.
Follow along as Members of the European Parliament navigate bias and discrimination in AI and explore their perspectives on regulatory measures, shedding light on the complexities of their understanding and paving the path towards informed policy development.
Introduction Globally, there are now over 800 AI policy initiatives, from the governments of at least 60 countries, with most being introduced after 2016. The United Kingdom (UK) is at the forefront of AI governance efforts, at least quantitatively, being second only to the United States (US) in terms of the number of national-level AI policies released (OECD.AI, 2021) and ranking top for the number of mentions of AI in legislative documents between 2016 and 2021 (Zhang et al., 2022). According to the OECD, the US has released 55 documents, the UK 53, the EU 59, and China 22. These figures do not evidence the UK producing better outcomes than other countries that have published fewer …
News media discourses on datafication and automation have become more sensitive to data risks, but their complexity is a challenge for informing lay audiences about root causes and solutions.
This article critically examines how three AI initiatives articulate corporate responsibility for human rights regarding long-term risks posed by smart city AI systems.
ChatGPT’s contribution will be minimal, given the ways that its AI by design will permeate social bias and thus risk its business model.
The article identifies critical blindspots in current European AI policies and explores the impact of AI technologies in the media and communications sector, based on a novel multi-level analytical framework.
On the inadequacy of the risk-based approach for generative and general purpose AI.
Artificial emotional intelligence refers to technologies that perform, recognise, or record affective states. More than merely a technological function, however, it is also a social process whereby cultural assumptions about what emotions are and how they are made are translated into composites of code, software, and mechanical platforms. This essay illustrates how aspects of cultural difference are both incorporated and elided in projects that equip machines with emotional intelligence.
Feminist theories have extensively debated consent in sexual and political contexts. But what does it mean to consent when we are talking about our data bodies feeding artificial intelligence (AI) systems?
This article considers the use of AI border control technologies to manage security risks and the gendered, racialised, and sexualised impacts this may have on both regular travellers and asylum seekers.
This analysis of digital technologies aimed at supporting survivors of sexual and gender-based violence illustrates how they reaffirm normative whiteness.
This paper introduces a socio-technical typology of bias in data-driven machine learning and artificial intelligence systems. It argues that a clear distinction must be made between different concepts of bias in such systems in order to analytically assess and politically critique these systems. By analysing the controversial Austrian “AMS algorithm” as a case study among other examples, this paper defines the following three types of bias: purely technical, socio-technical, and societal.