Artificial intelligence (AI)

While much of the AI debate focuses on its economic potential, its expanding physical footprint tells a different story. The machines driving this revolution depend on a resource far older – and far more contested – than data or electricity.

Tackling climate disinformation requires sustained investment, yet the counter-disinformation community remains underfunded, and regulation faces significant resistance, writes Zora Siebert.

We are in the middle of the AI race. On April 9, Digital Commissioner Henna Virkkunen presented the EU's new AI Continent Action Plan. The goal? Making Europe a global hub for AI innovation. No more talk of bans or limitations. The action plan is about boosting competitiveness and claiming leadership. We asked Alexandra Geese MEP (Greens/EFA) what this shift means. 

This week marks 100 days of the von der Leyen II European Commission. A deadline by which President von der Leyen promised a range of initiatives, as outlined in her 2024-2029 political guidelines. We take a look at the main initiatives launched, in a time when Europe is adapting to shifting geopolitical paradigms.

Something sounds awry about the term ‘twin transition’. The concept, often used in EU or UN contexts, ties two crucial transitions: the move to renewable energy and the digitalisation of economies. While it sounds forward thinking, evidence suggests this pairing may be less beneficial than promised. As developing countries bear the socio-environmental costs while reaping limited benefits, a handful of tech giants continue to dominate global markets. Paz Peña raises a crucial question: is this ‘transition’ truly a path to equity, or does it deepen old divides under the guise of green progress?

The EU is undergoing a historic shift in economic and tech policy, embracing industrial policy to shape Europe’s digital future. However, public investments in large-scale AI risk reinforcing dominant players and undermining climate goals. Europe must align these investments with societal goals, tackle tech sector monopolies, and ensure innovation serves the public interest.

Digital technologies are now a global priority, like security and climate change. The 2024 UN Summit of the Future brings the Global Majority into internet and AI governance. The UN Convention on Cybercrime may do the same for cybersecurity. At the same time, the centralization at the UN risks empowering governments and undermining human rights.

The upcoming European Parliament elections are set to be a critical test in the fight against disinformation. With new regulations and AI challenges, how will Europe ensure election integrity?

Katrin Köppert takes a new look at the explainability of AI systems, through a queer perspective. Queersplaining means not only explaining AI, but also revealing the inherent contradictions and power structures. An explainability that does not support the illusion of a universal solution, but recognises the complexity and context dependency of AI.

In this super election year, concerns loom over how artificial intelligence might impact elections worldwide. Technology’s advances, coupled with the potential misuse of bad actors, are a real threat. However, there are intriguing contrasts in attitudes towards AI and the use of technology between Europe and the Global South. Prof. Dr. Payal Arora, Chair of Inclusive AI Cultures at the Department of Media & Culture Studies at Utrecht University, challenges prevailing narratives of techno-pessimism. She offers a nuanced perspective on the transformative potential of technology within inclusive frameworks. Zora Siebert asked her three key questions.

Governments worldwide have been adopting national AI strategies to guide the design of policies for enhancing Artificial Intelligence (AI) development. Through these strategies, many countries have expressed AI’s potential for helping combat environmental degradation, but almost none have reflected on the role of strategies in reducing AI’s own environmental impacts. This article discusses this trend and reflects on how public policies could help make AI development and deployment less impactful.

The AI Act has finally overcome its latest hurdle in the European Union’s legislative procedure after its adoption by the European Parliament. However, a void in its final version draws attention to the weakening of obligations aimed at reducing AI’s environmental impacts, despite the technology’s severe impacts on local communities, fauna and flora, both within and beyond European borders, particularly in the Majority World. This commentary investigates the opportunities missed by EU bodies to address such impacts during the AI Act debates.

US President Joe Biden issued an Executive Order on artificial intelligence that, while different in form and enforcement authority from the EU’s AI Act, targets many of the current risks of the technology. With policies in effect soon, the EU and US have the chance to work together.

Working on and with AI is inherently influenced by gender and race. The small number of women and minorities among AI developers has even been described as a "diversity crisis". At the same time, however, women from the Global South are strong in lowly-paid areas of the field, from hardware assembly to crowd work addressing bias and injustices in AI. Understanding these present discriminating structures is the first step to social change.

AI chatbots like ChatGPT blur the line between human and machine, at the same time captivating minds and raising alarms. Having been swiftly integrated into search engines and programmes, these bots lack clear boundaries. Jeffrey Chan dissects the ethical challenges and environmental impacts of AI bots, as well as navigating fair AI use and the language and wisdom boundary.

Aifric Campbell explores the future of love and intimacy as our attention to humans is seduced by machines.

What are the impacts of Artificial Intelligence (AI) on human labour and the environment? How do legislative proposals for regulating AI in Europe and Brazil respond to these impacts beyond discussions on surveillance and automated decision-making bias?

In the following months, the Brazilian Senate will vote on a 10-article bill establishing principles for the development and deployment of artificial intelligence (AI) systems. Its content, however, may help perpetuate recent cases of algorithmic discrimination through provisions that hinder the accountability for AI-induced errors and restrict the scope of rights established in Brazil’s General Data Protection Legislation and in the Brazilian Constitution.

A Bill of Rights for the AI-enabled world, regulatory challenges, and socio-technical risks: Jessica Newman, who leads the AI Security Initiative at UC Berkeley’s Center for Long-Term Cybersecurity, discusses recent AI developments in the United States and Europe with our Transatlantic Media Fellow Ekaterina Venkina in an interview for BigData-Insider.

How do we preserve our humanity in a world of intelligent machines? AI researcher Mark Nitzberg on the need to build AI models that are safe for humans and make explainable decisions – and why standards and oversight are key.  Our fellow Ekaterina Venkina interviewed the Executive Director at the Center for Human-Compatible AI at UC Berkeley (CHAI) for RedaktionsNetzwerk Deutschland (RND).