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As artificial intelligence (AI) becomes increasingly embedded in digital, social, and institutional infrastructures, and AI and platforms are merged into hybrid structures, systemic risk has emerged as a critical but undertheorized…

Computers and Society · Computer Science 2026-05-26 Philipp Hacker , Lilian Edwards , Atoosa Kasirzadeh

This paper explores the environmental impact of the super-linear growth trends for AI from a holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize the carbon footprint of AI computing by examining the model…

Sustainability encompasses three key facets: economic, environmental, and social. However, the nascent discourse that is emerging on sustainable artificial intelligence (AI) has predominantly focused on the environmental sustainability of…

Machine Learning · Computer Science 2025-02-28 Pedram Bakhtiarifard , Pınar Tözün , Christian Igel , Raghavendra Selvan

Growing awareness of the environmental impact of digital technologies has led to several isolated initiatives to promote sustainable practices. However, despite these efforts, the environmental footprint of generative AI, particularly in…

Computers and Society · Computer Science 2024-02-06 Thomas Le Goff

Globally, artificial intelligence (AI) implementation is growing, holding the capability to fundamentally alter organisational processes and decision making. Simultaneously, this brings a multitude of emergent risks to organisations,…

Computers and Society · Computer Science 2024-04-10 Finlay McGee

Artificial intelligence (AI) is already driving scientific breakthroughs in a variety of research fields, ranging from the life sciences to mathematics. This raises a critical question: can AI be applied both responsibly and effectively to…

Generative AI is spreading rapidly, creating significant social and economic value while also raising concerns about its high energy use and environmental sustainability. While prior studies have predominantly focused on the…

Computers and Society · Computer Science 2026-02-12 Min-Kyu Kim , Tae-An Yoo , Ji-Bum Chung

Recent developments in artificial intelligence (AI) have permeated through an array of different immersive environments, including virtual, augmented, and mixed realities. AI brings a wealth of potential that centers on its ability to…

Human-Computer Interaction · Computer Science 2024-05-10 Wangfan Li , Rohit Mallick , Carlos Toxtli-Hernandez , Christopher Flathmann , Nathan J. McNeese

Artificial Intelligence (AI) is a fast-growing research and development (R&D) discipline which is attracting increasing attention because of its promises to bring vast benefits for consumers and businesses, with considerable benefits…

Artificial Intelligence · Computer Science 2022-05-10 Zhenghua Chen , Min Wu , Alvin Chan , Xiaoli Li , Yew-Soon Ong

This chapter explores the convergence of two major developments: the rise of environmental, social, and governance (ESG) investing and the exponential growth of artificial intelligence (AI) technology. The increased demand for diverse ESG…

Artificial Intelligence · Computer Science 2025-05-20 Georgios Pavlidis

There is a substantial and ever-growing corpus of evidence and literature exploring the impacts of Artificial intelligence (AI) technologies on society, politics, and humanity as a whole. A separate, parallel body of work has explored…

Computers and Society · Computer Science 2022-09-23 Benjamin S. Bucknall , Shiri Dori-Hacohen

As the possibilities for Artificial Intelligence (AI) have grown, so have concerns regarding its impacts on society and the environment. However, these issues are often raised separately; i.e. carbon footprint analyses of AI models…

Computers and Society · Computer Science 2025-04-02 Alexandra Sasha Luccioni , Giada Pistilli , Raesetje Sefala , Nyalleng Moorosi

The implications of technological innovation for sustainability are becoming increasingly complex with information technology moving machines from being mere tools for production or objects of consumption to playing a role in economic…

Computers and Society · Computer Science 2019-05-14 Salvador Pueyo

Artificial intelligence risks are multidimensional in nature, as the same risk scenarios may have legal, operational, and financial risk dimensions. With the emergence of new AI regulations, the state of the art of artificial intelligence…

Computers and Society · Computer Science 2025-09-24 Luis Enriquez Alvarez

The accelerating development and deployment of AI technologies depend on the continued ability to scale their infrastructure. This has implied increasing amounts of monetary investment and natural resources. Frontier AI applications have…

Computers and Society · Computer Science 2025-02-04 Eshta Bhardwaj , Rohan Alexander , Christoph Becker

As AI systems become more capable, integrated, and widespread, understanding the associated risks becomes increasingly important. This paper maps the full spectrum of AI risks, from current harms affecting individual users to existential…

Computers and Society · Computer Science 2025-08-20 Markov Grey , Charbel-Raphaël Segerie

Artificial intelligence is fundamentally changing how health content is encountered and acted upon across both the information and healthcare ecosystems. AI systems now generate claims, curate information, interpret symptoms, synthesize…

Computers and Society · Computer Science 2026-05-25 Matthew R. DeVerna , Harry Yaojun Yan , Kai-Cheng Yang , Filippo Menczer

This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-career researchers from multiple fields, it explores how AI…

Companies report on their financial performance for decades. More recently they have also started to report on their environmental impact and their social responsibility. The latest trend is now to deliver one single integrated report where…

Computers and Society · Computer Science 2019-11-14 Benoît Otjacques

Recent advancements in the field of Artificial Intelligence (AI) establish the basis to address challenging tasks. However, with the integration of AI, new risks arise. Therefore, to benefit from its advantages, it is essential to…

Machine Learning · Computer Science 2024-12-20 Ronald Schnitzer , Andreas Hapfelmeier , Sven Gaube , Sonja Zillner