"Ist Künstliche Intelligenz nur eine weitere Entwicklung der Digitalisierung des Alltags, eine effiziente Software in einer „Cloud“? Die KI-Forscherin Kate Crawford entlarvt diese verharmlosende Vorstellung und beleuchtet die konkreten Auswirkungen der Technologie auf die physische Welt. Ihre R
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echerche bietet Einblicke in den Bergbau, wo für die KI reale Ressourcen wie Gestein, Lithium-Sole und Erdöl abgebaut werden, und in Logistik-Zentren, wo menschliche Arbeitskraft für Unternehmensgewinne ausgebeutet werde. Künstliche Intelligenz gehe, so Crawford, mit Umweltzerstörung und Raubbau an der Natur sowie sozialer Ungerechtigkeit einher, etwa der Ausbeutung von Clickworkern. Zudem basiere Künstliche Intelligenz auf einer Klassifizierung von Daten, die keineswegs einer objektiven Logik folge, sondern Hierarchien perpetuiere und Ungleichheiten verstärke. Angesichts dieser Verzerrungen könne KI nicht als neutrale Technologie angesehen werden, deren Probleme wiederum durch weitere technische Innovationen gelöst werden können. Vielmehr seien politische Regulierung, demokratische Kontrolle und die Einbeziehung der von Vorurteilen, Diskriminierung und Ausbeutung Betroffenen erforderlich. Die bereits existierenden Gefahren der Technologien für Privatsphäre, Menschenrechte, Natur und Arbeitswelt seien weitaus bedrohlicher als die von manchen befürchtete Entwicklung einer künstlichen Superintelligenz." (Back cover)
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"The development and deployment of large language models like ChatGPT across the world requires expanding data centers that consume vast amounts of electricity. Using descriptive statistics and a multi-country computable general equilibrium model (IMF-ENV), we examine how AI-driven data center growt
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h affects electricity consumption, electricity prices, and carbon emissions. Our analysis of national accounts reveals AI-producing sectors in the U.S. have grown nearly triple the rate of the private non-farm business sector, with firm-level evidence showing electricity costs for vertically integrated AI companies nearly doubled between 2019-2023. Simulating AI scenarios in the IMF-ENV model based on projected data center power consumption up to 2030, we find the AI boom will cause manageable but varying increases in energy prices and emissions depending on policies and infrastructure constraints. Under scenarios with constrained growth in renewable energy capacity and limited expansion of transmission infrastructure, U.S. electricity prices could increase by 8.6%, while U.S. and global carbon emissions would rise by 5.5% and 1.2% respectively under current policies. Our findings highlight the importance of aligning energy policies with AI development to support this technological revolution, while mitigating environmental impacts." (Abstract)
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"This report offers a comprehensive snapshot of the region’s digital landscape, highlighting both remarkable progress and persisting challenges. Ninety-five per cent of the population in this region is covered by mobile broadband networks, and more than half of the countries have already achieved
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universal Internet access. However, as this report highlights, infrastructure alone is insufficient. Although connectivity extends to much of the population, only 70 per cent uses the Internet. Barriers such as affordability, digital skills, and awareness must be addressed to ensure that everyone benefits from digital opportunities.
This report underscores the region’s diversity, reflecting economies at different stages of digital development. From nations spearheading 5G deployment to those grappling with basic connectivity, the disparity is striking. The 82 percentage-point gap in Internet penetration across the region illustrates this reality. Closing these gaps will require tailored strategies that account for each country’s unique socio-economic and geographic context. The concept of universal and meaningful connectivity (UMC) serves as a guiding principle throughout this publication. UMC emphasizes not only access but also the quality of the online experience, ensuring that connectivity leads to tangible socio-economic benefits." (Foreword)
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"[...] While mobile broadband covers over 95 per cent of the population, disparities persist. High-income economies lead in 5G deployment and innovation, while lower-income countries face infrastructure, affordability, and digital literacy gaps. The urban-rural divide remains, and women and marginal
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ized communities still encounter barriers to digital inclusion. Closing these gaps is both an economic necessity and a social imperative, as digital transformation expands access to services and strengthens resilience. Small island developing States (SIDS) in the Pacific face distinct challenges due to their geographic isolation, small populations, and vulnerability to climate change. Reliable connectivity is crucial for economic development, disaster resilience, and access to essential services. To sustain the region’s momentum, achieving universal and meaningful connectivity (UMC) is a policy imperative. UMC enables people to access knowledge, build livelihoods, and connect with their communities while also driving economic growth through digital trade, e-commerce, and innovation. Achieving this goal requires strengthened digital skills, improved regulatory frameworks, resilient infrastructure, and inclusive innovation ecosystems." (Foreword)
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"This publication provides an in-depth look at digital development across the region, revealing both substantial progress and areas where challenges persist. Internet use is widespread, with nearly nine in ten people online. In a milestone achievement, the Americas is the only region to have fully b
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ridged the gender gap in Internet use, with women now more likely to be online than men. Yet, the region’s digital landscape is also defined by contrasts. While North America benefits from advanced policy and regulatory frameworks, parts of Latin America and the Caribbean continue to face barriers in infrastructure deployment, affordability, and regulatory capacity. This is particularly the case for the region’s small island developing States (SIDS) and landlocked developing countries (LLDCs). These disparities highlight the importance of targeted policies and enhanced regional cooperation.
The region must also respond to growing cybersecurity and environmental challenges. The Americas generate nearly a quarter of the world’s e-waste, yet recycling rates remain low and formal collection systems are lacking in many countries. Advancing green digital policies and implementing extended producer responsibility mechanisms will be vital for sustainable digital growth. Reliable, granular, and timely data is essential for designing effective, targeted interventions and supporting progress toward UMC. While the region benefits from strong statistical capacity and several global data leaders, gaps remain – particularly in disaggregated data by gender, age, location, and socio-economic status. This report also highlights powerful examples of progress – from community networks and disaster resilience efforts to initiatives that empower girls and women through digital skills." (Foreword)
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"This publication reveals that the gap between ambition and reality remains wide. Mobile broadband coverage has expanded rapidly, offering most of the population the possibility of going online. And yet, only 38 per cent of the population currently uses the Internet—the lowest rate among all ITU r
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egions. But adoption is just the beginning. Universal and meaningful connectivity (UMC) is a new imperative. Achieving UMC means not only ensuring that everyone can access and use the Internet, but also that they can do so safely, productively, and affordably—whenever and wherever needed. In Africa, this possibility remains the privilege of a few. Gaps in affordability, digital skills, and connectivity quality disproportionately affect rural communities, women, and lower-income populations. These divides are leaving millions behind as the digital economy advances. The challenge is especially acute for Least Developed Countries (LDCs), which make up more than half of the countries in the region. Many of these nations face multiple, compounding barriers to digital inclusion, and require targeted, sustained support.
At the same time, this publication offers reasons for optimism. Africa is home to a growing number of digital pioneers—countries, communities, and individuals who are leading innovative approaches to e-waste management, digital entrepreneurship, accessibility, and regulatory excellence. The case studies in this report demonstrate the transformative power of digital technologies when supported by local leadership, inclusive policies, and international cooperation. Better data is essential to closing the digital divide. Africa faces the greatest connectivity challenges yet has the fewest resources—and the least data. Investing even modestly in measurement can yield outsized returns by identifying where needs are most acute, and which interventions will have the greatest impact." (Foreword)
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"This publication offers a comprehensive overview of digital development in the CIS region. The data reveal a region where nine in ten people are online—well above the global average—and where mobile broadband networks now cover virtually the entire population. These are important milestones. At
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the same time, disparities remain between countries and communities. Fixed broadband is still out of reach for many, ICT regulation is uneven, and digital skills remain limited in key areas. Seven of the nine CIS countries are landlocked, which presents unique challenges for international connectivity, infrastructure deployment, and access to global Internet infrastructure. These constraints make regional collaboration particularly important—not only for physical infrastructure development but also for the harmonization of policies and regulatory frameworks. The second part of this report features case studies that illustrate how digital initiatives are making a tangible impact across the region. From expanding rural broadband access to enhancing youth entrepreneurship and strengthening cybersecurity readiness, these stories highlight the diversity of challenges—and the creativity of responses—emerging across the CIS." (Foreword)
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This report synthesizes key findings from a diverse range of sources, including academic literature, corporate sustainability initiatives, and emerging environmental tracking tools. Collectively, these documents provide a thorough overview of current methodologies for evaluating the environmental im
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pacts of artificial intelligence (AI) systems. While several advances in methodology and tooling are evident, the review highlights substantial inconsistencies in how different lifecycle stages of AI are measured, analysed, and reported.
[.] One of the most pressing issues uncovered is the widespread reliance on indirect estimates when assessing energy consumption during the training phase of AI models. These estimates often lack real-time, empirical measurement. Furthermore, equally important lifecycle stages — such as inference (the operational use of models), Scope 3 emissions (from supply chains and hardware manufacturing), and infrastructure-level impacts (such as water consumption and cooling) — remain significantly underexplored. This reliance on proxies introduces substantial data gaps, impedes accountability, and restricts consumers’ ability to make informed, sustainable choices about AI.
To address these issues, the report uses a lifecycle-based approach, dividing the AI system's environmental impact into three stages: 1. Training, 2. Inference, 3. Supply Chain. For each stage, we examine measurement methodologies, identify current limitations, and offer recommendations for key stakeholder groups: developers (producers), users (consumers), and policy-makers. The overarching aim is to ensure that sustainability becomes a foundational element — embedded from the earliest stages of AI design to its deployment and continued use — rather than an afterthought." (Executive summary, pages v-vi)
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"The fourth edition of the Greening Digital Companies: Monitoring Emissions and Climate Commitments report continues to track greenhouse gas (GHG) emissions, energy use and climate commitments of 200 digital companies. It provides a critical foundation for setting science-based targets (SBTs), measu
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ring progress over time and addressing the International Telecommunication Union (ITU) role in tracking the environmental impact of the digital sector. As a driver of global innovation and economic growth, the digital sector is increasingly stepping up to its responsibilities in the low-carbon transition. Climate ambition is on the rise, with more companies setting emission reduction targets, increasing use of renewable energy and aligning with SBT frameworks. However, to fully realize this potential, persistent gaps in transparency, reporting and accountability must still be addressed as outlined in this report. The Greening Digital Companies report is based on the most recent full fiscal year for which consistent data can be obtained across all companies—currently 2023." (Executive summary)
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"In dieser Studie werden auf Basis der Literaturanalyse eine Vielzahl an Anwendungsfällen mit besonders hohen Potenzialen für positive Umwelteffekte identifiziert. Insbesondere im Energiebereich gibt es eine Vielzahl von vergleichsweise gut erforschten Anwendungsfällen. Hierzu zählt beispielswei
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se der Einsatz von Smart Metering und preisdynamischen Tarifen. Auch Automatisierung und Monitoring im Gebäudebereich können den Energieverbrauch deutlich verringern. Durch Digitalisierung im Energiesektor kann außerdem das Abregeln erneuerbarer Energien vermieden werden. Im Bereich Verkehr können Technologien wie Internet of Things (IoT) und 5G z. B. die THG-Emissionen im Güterverkehr deutlich senken. Die positiven Umweltpotenziale der Digitalisierung sind jedoch nicht auf das Einsparen von CO2-Emissionen beschränkt. In der Landwirtschaft können z. B. durch den Einsatz von Precision Farming durch digital gestütztes Monitoring der Einsatz von Pflanzenschutzmitteln und Bewässerung reduziert werden. Trotz einer Vielzahl von Studien, die sich mit Umwelteffekten von Digitalisierung beschäftigen, ist der Wissensstand über das Ausmaß der Potenziale in vielen Bereichen jedoch immer noch lückenhaft. In den für diese Studie analysierten Veröffentlichungen wird eine Vielzahl von digitalen Technologien und Anwendungsfällen qualitativ bzw. anekdotisch als sehr relevant beschrieben, es fehlen jedoch in der Regel Quantifizierungen. Obwohl z. B. für den Bereich KI viele Veröffentlichungen identifiziert wurden, enthielten nur wenige quantifizierte Analysen, auch Bilanzierungen fehlten zum Teil. Diese Studien wurden daher nur begrenzt in die Metastudie miteinbezogen, deuten aber auf ein potenziell disruptives Potenzial von KI in manchen Anwendungsbereichen hin (z. B. im Bereich Klimaanpassung kann KI durch die Verbesserung von Prognosen die Reaktionsfähigkeit auf Umweltereignisse erhöhen). Mit der Digitalisierung gehen neben Umweltchancen auch negative Umwelteffekte einher. Zu den negativen Effekten der Digitalisierung gehören direkte Effekte, die durch den Energie- und Ressourcenverbrauch der Produktion und den Betrieb digitaler Infrastruktur entstehen. Ein weiteres prominentes Beispiel sind negative systemische Effekte wie Rebound-Effekte. Daher führt Digitalisierung nicht zwangsläufig zu einer Verringerung des Ressourcenverbrauchs. Positive Umwelteffekte der Digitalisierung gehen oft auf positive Enabling-Effekte wie Optimierungs- und Substitutionseffekte zurück, oder ergeben sich durch den Wandel zu nachhaltigen Verhaltens- und Konsummustern. Im Fokus der Literatur stehen meist positive Enabling-Effekte. Die vorhandenen Quantifizierungen konzentrieren sich meist auf die Potenziale digitaler Technologien (die positiven Enabling-Effekte). Nur in wenigen Studien werden vor- und nachgelagerte Umwelteffekte der Produktion der digitalen Technologien sowie weitere systemische Effekte wie Rebound-Effekte in die Umweltbewertung mit einbezogen. Eine übergeordnete Bewertung der Gesamtbilanz digitaler Technologien im Rahmen wissenschaftlicher Analysen wird somit erschwert. Bei vielen Studien handelt es sich zudem um Fallstudien, die Umwelteffekte unter sehr spezifischen Rahmenbedingungen ermitteln. Es ist daher häufig nicht klar, inwieweit sich diese Potenziale skalieren bzw. auf andere Kontexte übertragen lassen. Schließlich werden Umweltauswirkungen häufig auf CO2-Äq. verkürzt und auf eine breitere Betrachtung von Umwelteffekten im Sinne von Ressourcenverbrauch wird oft verzichtet." (Zusammenfassung, Seite 7-8)
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"International standards provide the guidelines and benchmarks needed to measure and improve the environmental impact of AI. Codifying established best practices, standards help mitigate risks such as high energy consumption and lifecycle emissions. They also provide measurement methodologies to ass
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ess GHG emissions and energy consumption, and thereby identify the actions needed to improve. Achieving this vision of sustainable AI that offers powerful tools for climate action will demand close collaboration among a diverse array of stakeholders from government, industry, academia and civil society. The International Telecommunication Union (ITU) stimulates this collaboration as the United Nations specialized agency for information and communication technologies. This report explores the environmental implications of AI and presents a summary of relevant standards available and under development. It highlights the importance of a coordinated, international approach to standardization and the need for continued engagement and cooperation across all sectors." (Foreword)
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"The past several years have seen increased scholarly attention to the concept of ‘extraction’ and ‘extractivism’ as critical frameworks in the humanities and social sciences. These are not only concepts and processes through which to understand material extraction but also expanded formatio
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ns of extraction as requiring an assemblage of interlocking activities united under an umbrella of exploitative, material economic practices. This article demonstrates that digital data infrastructures, especially data centres, are acting as tools in which to manage the compounding contradictions of paired ‘green,’ digital growth in constrained electricity systems like Ireland. Building on theories of ‘green extractivism’ in the digital sphere and drawing upon fieldwork and policy analysis in data centre industry settings, this article argues that in the form of interconnected climate and digital infrastructures, tech capital is shoring up its role in green transformations, including in the grid systems that will need to adapt away from fossil fuel supply to intermittent energy sources and increasing demand from data centres. In this way, data centres are becoming technologies of green extractivism for overlapping projects of digital grid transformations and climatefriendly capitalism." (Abstract)
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In 2022, a record 62 billion kg of e-waste was generated globally (equivalent to an average of 7.8 kg per capita per year); 22.3 per cent of this e-waste mass was documented as formally collected and recycled in an environmentally sound manner. In 2010, the world generated 34 billion kg of e-waste,
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an amount that has since increased annually by an average of 2.3 billion kg. The documented formal collection and recycling rate has increased as well, growing from 8 billion kg in 2010 at an average rate of 0.5 billion kg per year to 13.8 billion kg in 2022. The rise in e-waste generation is therefore outpacing the rise in formal recycling by a factor of almost 5 - driven by technological progress, higher consumption, limited repair options, short product lifecycles, growing electronification and inadequate e-waste management infrastructure - and has thus outstripped the rise in formal and environmentally sound collection and recycling. The e-waste generated in 2022 contained 31 billion kg of metals, 17 billion kg of plastics and 14 billion kg of other materials (minerals, glass, composite materials, etc.) An estimated 19 billion kg of e-waste, mainly from metals like iron which is present in high quantities and has high recycling rates in almost all e-waste management routes, were turned into secondary resources. Platinum-group metals and precious metals were among the most valuable metals but present in much lower quantities; nonetheless, an estimated 300 thousand kg were turned into secondary resources through formal and informal recycling practices.
The share of patent applications for e-waste management rose from 148 per million in 2010 to 787 per million in 2022. Most of those applications were related to technologies for cable recycling, with hardly any signs of an increase in the number of patents filed for technologies related to critical raw materials recovery. Although rare earth elements have unique properties that are crucial for future technologies, including renewable energy generation and e-mobility, the world remains stunningly dependent on the production chains of a few countries. The recycling of such elements remains economically challenging, even in the case of devices with a higher content. Consequently, recycling activities are taking only around 1 per cent of the current demand for the recycling of rare earth elements. The market price for rare earth elements is still too low to support larger-scale commercial recycling operations." (Executive summary, pages 12-13)
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"The objective of this report is two-fold. First, the report breaks down the energy and emissions profile of the sector and assesses the 30 highest emitting countries for telecommunications while providing global estimates for other ICT sector segments. The report uses a key framework for categorizi
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ng energy use and emissions, the Greenhouse Gas Protocol Corporate Standard. Scope 1: Emissions are direct emissions from owned or controlled sources; Scope 2: Emissions are indirect emissions from the generation of purchased electricity, steam, heating, and cooling consumed by the firm; Scope 3: Emissions are all indirect emissions, upstream or downstream, (not included in Scope 2) that occur in the firm’s value chain. Second, the report addresses the policy and regulatory implications inferred from this data and the examination of these issues through several country case studies." (Executive summary, page 2)
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"Climate action continues to be a key priority for the mobile industry. In 2019, the mobile industry set a goal to reach net zero by 2050, becoming one of the first sectors in the world to set such an ambitious target. This report is the fourth annual assessment of the industry’s progress towards
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this goal and it provides key recommendations for how mobile network operators, suppliers and governments can work together to accelerate progress across the sector." (Executive summary)
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"Wer KI als Lösung präsentiert, muss auch Beweise dafür liefern. Wir zeigen in der zweiten Ausgabe unseres SustAIn-Magazins, dass KI-Systeme in der Energieversorgung durchaus den Einsatz von erneuerbaren Energien verbessern können. Aber ihr Potenzial kann nur ausgeschöpft werden, wenn eine daf
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r geeignete Infrastruktur existiert. Auch ist immer wieder zu hören, dass autonom fahrende Kleinbusse gut fürs Klima sind. Meistens wird dann aber nicht erwähnt, dass für den Betrieb dieser Kleinbusse viele Ressourcen benötigt werden. KI-Hoffnungsfantasien bringen uns nicht weiter. Wir müssen uns den ganzen Lebenszyklus von KI-Systemen anschauen, wenn wir ihre Nachhaltigkeit bewerten. Wir müssen aufhören, nur nach den CO2-Emissionen zu fragen, wenn wir die Auswirkungen der Systeme auf die Umwelt untersuchen. Und wir müssen KI-Systeme genau, umfassend und unvoreingenommen analysieren, wenn wir ernsthaft versuchen wollen, KI nachhaltiger zu gestalten." (Editorial)
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