Technology in Society, Journal Year: 2021, Volume and Issue: 68, P. 101807 - 101807
Published: Nov. 20, 2021
Language: Английский
Food Policy, Journal Year: 2023, Volume and Issue: 116, P. 102439 - 102439
Published: March 16, 2023
Despite enthusiasm for the potential of digital innovations to transform agricultural markets in Africa, progress made thus far has been limited small-scale experiments that often fail scale up. Realizing full – tools, technologies, applications, and services Africa requires not just further development these solutions at meaningful scales, but also more nuanced evidence from both successful unsuccessful scaling efforts. This paper reviews conceptual empirical on transformative African with an in-depth examination have rolled out date continent. Specifically, review addresses following questions: (i) how can improve functioning Africa? (ii) what explains apparent disconnect most pilots scale-ups? (iii) is required realize their potential? (iv) are emerging risks opportunities associated marketing? Although our landscape literature market-focused identifies several reasons remain optimistic, prevailing between scale-ups merits evaluation. In particular, there a need systematic assessments successes failures piloting stages.
Language: Английский
Citations
50
Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 2988 - 2988
Published: Feb. 7, 2023
Green products are composed of renewable resources and aim to minimize waste by maximizing resource efficiency. Some examples green recycled paper, herbal products, energy-saving bulbs, which easily benefit the environment reducing during manufacturing. Consumers organizations becoming more environmentally conscious. Consumer adoption environmental activism, stringent regulations can significantly reduce degradation. The main focus this paper is consolidate findings on marketing through a bibliometric study articles published from 2011 23 May 2022 present results in meaningful manner. In study, we used VOSviewer software map crucial current trends. It was observed that key words sustainable, ethical, green, ecological, eco-friendly have received considerable attention last decade.
Language: Английский
Citations
46
Communications of the Association for Information Systems, Journal Year: 2023, Volume and Issue: 52, P. 199 - 237
Published: Jan. 1, 2023
The booming adoption of Artificial Intelligence (AI) likewise poses benefits and challenges. In this paper, we particularly focus on the bright side AI its promising potential to face our society’s grand Given potential, different studies have already conducted valuable work by conceptualizing specific facets sustainability, including reviews Information Systems (IS) research or business values. Nonetheless, there is still little holistic knowledge at intersection IS, AI, sustainability. This problematic because IS discipline, with socio-technical nature, has ability integrate perspectives beyond currently dominant technological one as well can advance both theory development purposeful artifacts. To bridge gap, disclose how makes use boost sustainable development. Based a systematically collected corpus 95 articles, examine sustainability goals, data inputs, technologies algorithms, evaluation approaches that define current state art within discipline. comprehensive overview enables us make more informed investments (e.g., policy practice) discuss blind spots possible directions for future research.
Language: Английский
Citations
45
Expert Systems, Journal Year: 2023, Volume and Issue: 41(7)
Published: July 18, 2023
Abstract A number of articles are increasingly raising awareness on the different uses artificial intelligence (AI) technologies for customers and businesses. Many authors discuss about their benefits possible challenges. However, time being, there is still limited research focused AI principles regulatory guidelines developers expert systems like machine learning (ML) and/or deep (DL) technologies. This addresses this knowledge gap in academic literature. The objectives contribution threefold: (i) It describes governance frameworks that were put forward by technology conglomerates, policy makers intergovernmental organizations, (ii) sheds light extant literature ‘AI governance’ as well intersection ‘AI’ ‘corporate social responsibility’ (CSR), (iii) identifies key dimensions governance, elaborates promotion accountability transparency; explainability, interpretability reproducibility; fairness inclusiveness; privacy safety end users, prevention risks cyber security issues from systems. implies all those who involved research, development maintenance systems, have ethical responsibilities to bear toward consumers other stakeholders society.
Language: Английский
Citations
45
Technology in Society, Journal Year: 2023, Volume and Issue: 76, P. 102427 - 102427
Published: Nov. 23, 2023
Language: Английский
Citations
45
Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109409 - 109409
Published: June 29, 2024
Artificial intelligence (AI) holds significant promise for advancing natural disaster management through the use of predictive models that analyze extensive datasets, identify patterns, and forecast potential disasters. These facilitate proactive measures such as early warning systems (EWSs), evacuation planning, resource allocation, addressing substantial challenges associated with This study offers a comprehensive exploration trustworthy AI applications in disasters, encompassing management, risk assessment, prediction. research is underpinned by an review reputable sources, including Science Direct (SD), Scopus, IEEE Xplore (IEEE), Web (WoS). Three queries were formulated to retrieve 981 papers from earliest documented scientific production until February 2024. After meticulous screening, deduplication, application inclusion exclusion criteria, 108 studies included quantitative synthesis. provides specific taxonomy disasters explores motivations, challenges, recommendations, limitations recent advancements. It also overview techniques developments using explainable artificial (XAI), data fusion, mining, machine learning (ML), deep (DL), fuzzy logic, multicriteria decision-making (MCDM). systematic contribution addresses seven open issues critical solutions essential insights, laying groundwork various future works trustworthiness AI-based management. Despite benefits, persist In these contexts, this identifies several unused used areas disaster-based theory, collects ML, DL techniques, valuable XAI approach unravel complex relationships dynamics involved utilization fusion processes related Finally, extensively analyzed ethical considerations, bias, consequences AI.
Language: Английский
Citations
42
Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27
Published: May 15, 2024
The chapter examines how machine learning (ML) and artificial intelligence (AI) could be used to solve environmental problems throughout the world. It emphasizes crucial AI ML are optimizing energy distribution, including demand forecasting, improving smart grid performance, incorporating renewable sources. also covers use of methods sustainable agriculture, emphasizing predictive analytics for pest management, soil health monitoring, precision farming. highlights effectiveness resource encourages actions that ecologically friendly. ethical issues, societal ramifications, legal systems, synergies between agricultural solutions. imagines a day when advances led by will essential environmentally balanced planet.
Language: Английский
Citations
40
Information & Management, Journal Year: 2024, Volume and Issue: 61(2), P. 103924 - 103924
Published: Jan. 29, 2024
Language: Английский
Citations
34
Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)
Published: April 22, 2024
Abstract This investigation delves into Green AI and Sustainable literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad clusters nuanced emerging topics. It identifies three major clusters: (1) Responsible for Development, focusing on integrating sustainability ethics within technologies; (2) Advancements in Energy Optimization, centering energy efficiency; (3) Big Data-Driven Computational Advances, emphasizing AI’s influence socio-economic environmental aspects. Concurrently, uncovers five topics: Ethical Eco-Intelligence, Neural Computing, Healthcare Intelligence, Learning Quest, Cognitive Innovation, indicating trend toward embedding ethical considerations research. The study reveals novel intersections between significant research trends identifying Intelligence Quest as evolving areas societal impacts. advocates unified approach innovation AI, promoting integrity foster responsible development. aligns the Development Goals, need ecological balance, welfare, innovation. refined focus underscores critical development lifecycle, offering insights future directions policy interventions.
Language: Английский
Citations
29
Current Opinion in Environmental Sustainability, Journal Year: 2024, Volume and Issue: 66, P. 101411 - 101411
Published: Jan. 8, 2024
The increased use of Artificial intelligence systems (AI systems) is associated with multifaceted social, environmental, and economic consequences. These include nontransparent decision-making processes, discrimination, increasing inequalities, rising energy consumption greenhouse gas emissions in AI model development application, an concentration power. By considering the multidimensionality sustainability, this paper takes steps toward substantiating call for overarching perspective on 'sustainable AI.' It presents Sustainability Criteria Indicators Intelligence Systems (SCAIS) Framework, assessment framework that contains a set 19 sustainability criteria sustainable 67 indicators are based results critical literature review, expert workshops. Its interdisciplinary approach contributes unique holistic to facilitate structure discourse AI. Further, it provides concrete lays foundation developing standards tools support conscious application systems.
Language: Английский
Citations
25