scholarly journals AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System

2021 ◽  
Vol 13 (4) ◽  
pp. 1738
Author(s):  
Henrik Skaug Sætra
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Political Systems ◽  
The Sustainable Development ◽  
Sociotechnical System ◽  
Development Goals ◽  
Negative Impacts

Artificial intelligence (AI) is associated with both positive and negative impacts on both people and planet, and much attention is currently devoted to analyzing and evaluating these impacts. In 2015, the UN set 17 Sustainable Development Goals (SDGs), consisting of environmental, social, and economic goals. This article shows how the SDGs provide a novel and useful framework for analyzing and categorizing the benefits and harms of AI. AI is here considered in context as part of a sociotechnical system consisting of larger structures and economic and political systems, rather than as a simple tool that can be analyzed in isolation. This article distinguishes between direct and indirect effects of AI and divides the SDGs into five groups based on the kinds of impact AI has on them. While AI has great positive potential, it is also intimately linked to nonuniversal access to increasingly large data sets and the computing infrastructure required to make use of them. As a handful of nations and companies control the development and application of AI, this raises important questions regarding the potential negative implications of AI on the SDGs. The conceptual framework here presented helps structure the analysis of which of the SDGs AI might be useful in attaining and which goals are threatened by the increased use of AI.

Political Translation and the Sustainable Development Goals

2020 ◽  
pp. 169-188
Author(s):  
Chris G. Pope ◽  
Meng Ji ◽  
Xuemei Bai
Keyword(s):  
Sustainable Development ◽  
Political Discourse ◽  
Sustainable Development Goals ◽  
Social Systems ◽  
Political Process ◽  
The Political ◽  
Political Systems ◽  
The Sustainable Development ◽  
The World ◽  
Development Goals

The chapter argues that whether or not the world is successful in attaining sustainability, political systems are in a process of epoch-defining change as a result of the unsustainable demands of our social systems. This chapter theorizes a framework for analyzing the political “translation” of sustainability norms within national polities. Translation, in this sense, denotes the political reinterpretation of sustainable development as well as the national capacities and contexts which impact how sustainability agendas can be instrumentalized. This requires an examination into the political architecture of a national polity, the norms that inform a political process, socioecological contexts, the main communicative channels involved in the dissemination of political discourse and other key structures and agencies, and the kinds of approaches toward sustainability that inform the political process. This framework aims to draw attention to the ways in which global economic, political, and social systems are adapting and transforming as a result of unsustainability and to further understanding of the effectiveness of globally diffused sustainability norms in directing that change.

scholarly journals Sustainable AI: AI for sustainability and the sustainability of AI

AI and Ethics ◽  
2021 ◽  
Author(s):  
Aimee van Wynsberghe
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Ecological Integrity ◽  
Idea Generation ◽  
Computing Power ◽  
The Sustainable Development ◽  
Sociotechnical System ◽  
Societal Values ◽  
Development Goals ◽  
Definition Of

AbstractWhile there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI products (i.e. idea generation, training, re-tuning, implementation, governance) towards greater ecological integrity and social justice. As such, Sustainable AI is focused on more than AI applications; rather, it addresses the whole sociotechnical system of AI. I have suggested here that Sustainable AI is not about how to sustain the development of AI per say but it is about how to develop AI that is compatible with sustaining environmental resources for current and future generations; economic models for societies; and societal values that are fundamental to a given society. I have articulated that the phrase Sustainable AI be understood as having two branches; AI for sustainability and sustainability of AI (e.g. reduction of carbon emissions and computing power). I propose that Sustainable AI take sustainable development at the core of its definition with three accompanying tensions between AI innovation and equitable resource distribution; inter and intra-generational justice; and, between environment, society, and economy. This paper is not meant to engage with each of the three pillars of sustainability (i.e. social, economic, environment), and as such the pillars of sustainable AI. Rather, this paper is meant to inspire the reader, the policy maker, the AI ethicist, the AI developer to connect with the environment—to remember that there are environmental costs to AI. Further, to direct funding towards sustainable methods of AI.

scholarly journals Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges

2018 ◽  
Vol 10 (10) ◽  
pp. 3740 ◽  
Author(s):  
Silvia Bonilla ◽  
Helton Silva ◽  
Marcia Terra da Silva ◽  
Rodrigo Franco Gonçalves ◽  
José Sacomano
Keyword(s):  
Sustainable Development ◽  
Industry 4.0 ◽  
Sustainable Development Goals ◽  
Big Data Analytics ◽  
Industrial Process ◽  
Raw Material ◽  
The Sustainable Development ◽  
Long Run ◽  
Development Goals ◽  
Negative Impacts

The new evolution of the production and industrial process called Industry 4.0, and its related technologies such as the Internet of Things, big data analytics, and cyber–physical systems, among others, still have an unknown potential impact on sustainability and the environment. In this paper, we conduct a literature-based analysis to discuss the sustainability impact and challenges of Industry 4.0 from four different scenarios: deployment, operation and technologies, integration and compliance with the sustainable development goals, and long-run scenarios. From these scenarios, our analysis resulted in positive or negative impacts related to the basic production inputs and outputs flows: raw material, energy and information consumption and product and waste disposal. As the main results, we identified both positive and negative expected impacts, with some predominance of positives that can be considered positive secondary effects derived from Industry 4.0 activities. However, only through integrating Industry 4.0 with the sustainable development goals in an eco-innovation platform, can it really ensure environmental performance. It is expected that this work can contribute to helping stakeholders, practitioners and governments to advance solutions to deal with the outcomes emerging through the massive adoption of those technologies, as well as supporting the expected positive impacts through policies and financial initiatives.

scholarly journals Reviewing the Role of Outdoor Lighting in Achieving Sustainable Development Goals

2021 ◽  
Vol 13 (22) ◽  
pp. 12657
Author(s):  
Pedro Tavares ◽  
Dmitrii Ingi ◽  
Luiz Araújo ◽  
Paulo Pinho ◽  
Pramod Bhusal
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Smart Cities ◽  
Clean Energy ◽  
Well Being ◽  
Good Health ◽  
The Sustainable Development ◽  
Climate Action ◽  
Development Goals ◽  
Negative Impacts

The Sustainable Development Goals (SDGs) aim at providing a healthier planet for present and future generations. At the most recent SDG summit held in 2019, Member States recognized that the achievements accomplished to date have been insufficient to achieve this mission. This paper presents a comprehensive literature review of 227 documents contextualizing outdoor lighting with SDGs, showing its potential to resolve some existing issues related to the SDG targets. From a list of 17 goals, six SDGs were identified to have relevant synergies with outdoor lighting in smart cities, including SDG 3 (Good health and well-being), SDG 11 (Sustainable cities and communities), SDG 14 (Life below water) and SDG 15 (Life on land). This review also links efficient lighting roles partially with SDG 7 (Affordable and clean energy) and SDG 13 (Climate action) through Target 7.3 and Target 13.2, respectively. This paper identifies outdoor lighting as a vector directly impacting 16 of the 50 targets in the six SDGs involved. Each section in this review discusses the main aspects of outdoor lighting by a human-centric, energy efficiency and environmental impacts. Each aspect addresses the most recent studies contributing to lighting solutions in the literature, helping us to understand the positive and negative impacts of artificial lighting on living beings. In addition, the work summarizes the proposed solutions and results tackling specific topics impacting SDG demands.

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