The impact of generative artificial intelligence on socioeconomic inequalities and policy making

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(6)

Published: May 31, 2024

Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of impacts generative AI on (mis)information three information-intensive domains: work, education, healthcare. Our goal is highlight how could worsen inequalities while illuminating may help mitigate pervasive social problems. information domain, can democratize content creation access but dramatically expand production proliferation misinformation. workplace, it boost productivity create new jobs, benefits will likely be distributed unevenly. offers personalized learning, widen digital divide. healthcare, might improve diagnostics accessibility, deepen pre-existing each section, cover specific topic, evaluate research, identify critical gaps, recommend research directions, including explicit trade-offs that complicate derivation priori hypotheses. We conclude with section highlighting role policymaking maximize AI's reduce mitigating its harmful effects. discuss strengths weaknesses policy frameworks in European Union, United States, Kingdom, observing fails fully confront challenges have identified. propose several concrete policies promote shared prosperity through advancement AI. This article emphasizes need for collaborations understand address complex

Language: Английский

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Implementing AI in the public sector

Public Management Review, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 14

Published: July 4, 2023

Artificial Intelligence (AI) has advanced as one of the most prominent technological innovations to push conversation about digital transformation public sector forward. This special issue focuses on actual implementation approaches or challenges that managers are facing while they fulfil new policy asks for AI in administrations. In addition assessing contributions papers this issue, we also provide a research agenda how future can fill some methodological, theoretical, and application gaps management literature.

Language: Английский

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Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 161 - 171

Published: Jan. 4, 2024

The rapid increase in human activities is causing significant damage to our planet's ecosystems, necessitating innovative solutions preserve biodiversity and counteract ecological threats. Artificial Intelligence (AI) has emerged as a transformative force, providing unparalleled capabilities for environmental monitoring conservation. This research paper explores the applications of AI ecosystem management, including wildlife tracking, habitat assessment, analysis, natural disaster prediction. AI's role conservation includes resource conservation, species identification. algorithms analyze camera trap footage, drone imagery, GPS data identify estimate population sizes, leading improved anti-poaching efforts enhanced protection diverse species. Habitat assessment involve AI-powered image which aids assessing forest health, detecting deforestation, identifying areas need restoration. Biodiversity analysis identification are achieved through that acoustic recordings, DNA (eDNA), footage. These innovations different species, assess levels, even discover new or endangered flood prediction systems provide early warnings, empowering communities with better preparedness evacuation efforts. Challenges, such quality availability, algorithmic bias, infrastructure limitations, acknowledged opportunities growth improvement. In policy regulation, advocates clear frameworks prioritizing privacy security, transparency, equitable access. Responsible development ethical use emphasized foundational pillars, ensuring integration into aligns principles fairness, societal benefit.

Language: Английский

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Opportunities, challenges, and benefits of AI innovation in government services: a review

Discover Artificial Intelligence, Journal Year: 2024, Volume and Issue: 4(1)

Published: March 4, 2024

Abstract Artificial intelligence (AI) has emerged as an excellent tool across multiple industries and holds great promise for the government, society, economy. However, absence of a distinct consensus regarding definition scope artificial hinders its practical implementation in government settings. This article examines various methodologies, emphases, goals within intelligence, emphasizing ability to enhance human capabilities critical situations. Considering present advantages enhanced productivity brought about by AI adoption trailblazing departments, this study explores possible benefits limitations usage public sector. By looking at cross-disciplinary difficulties applications, such language hurdles service delays, highlights necessity thorough knowledge risks, impediments, incentives employing services. The hopes provide insight into research's ultimate aims, including object manipulation, natural processing, reasoning. emphasizes potential greater productivity, simplified procedures, reduced obligations analyzing pros cons using Further, organizational theory is considered figuring out how deal with challenges maximize possibilities associated deployment. used conceptual framework understand benefits, opportunities, involved when providing results research help us better may revolutionize delivery stimulating new ideas improving efficiency. covers questions theory's role adoption, governments have adopting AI, might offer delivery. recommends strategic approach sector, considering organizational, ethical, societal implications while recognizing possibility AI's transformative impacts on governments' provision.

Language: Английский

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Enhancing public service delivery efficiency: Exploring the impact of AI

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(3), P. 100329 - 100329

Published: June 26, 2024

This study aims to investigate the impact of Artificial Intelligence (AI) adoption on public service delivery efficiency in India. It addresses a significant gap existing literature by investigating AI India, context that has not been extensively explored. Through comparative analysis approach, assesses effectiveness applications enhancing delivery. The quantitative research design employed draws previous integration governance and focuses Chief Information Officers (CIOs) as primary respondents. findings reveal improvements citizen-centric services municipal processes due adoption. However, human-centric aspects is found be moderate. also underscores importance infrastructure readiness for successful implementation. Notably, only 25 % organizations were possessing advanced technological infrastructure. original its focus respondents approach assess offers valuable insights policymakers practitioners. Emphasizing need effective policies development, it highlights potential eliminate corruption risks enhance overall transparency mechanisms.

Language: Английский

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Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform: Pioneering data-driven environmental governance

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105516 - 105516

Published: May 9, 2024

Emerging smarter eco-cities, inherently intertwined with environmental governance, function as experimental sites for testing novel technological solutions and implementing reforms aimed at addressing complex challenges. However, despite significant progress in understanding the distinct roles of emerging data-driven governance systems—namely City Brain, Smart Urban Metabolism (SUM), platform urbanism—enabled by Artificial Intelligence Things (AIoT), a critical gap persists systematically exploring untapped potential stemming from their synergistic collaborative integration context urban governance. To fill this gap, study aims to explore linchpin AIoT seamlessly integrating these systems advance eco-cities. Specifically, it introduces pioneering framework that effectively leverages synergies among AIoT-powered enhance sustainability practices In developing framework, employs configurative aggregative synthesis approaches through an extensive literature review in-depth case analysis publications spanning 2018 2023. The identifies key factors driving co-evolution AI IoT into specifies technical components constituting architecture A comparative reveals commonalities differences SUM, urbanism within frameworks These collectively contribute eco-cities leveraging real-time data analytics, predictive modeling, stakeholder engagement. proposed underscores importance decision-making, optimization resource management, reduction impact, collaboration stakeholders, engagement citizens, formulation evidence-based policies. findings unveils presents promising opportunities prospects advancing not only charts strategic trajectory stimulating research endeavors but also holds practical application informed policymaking realm ongoing discussions refinements remain imperative address identified challenges, ensuring framework's robustness, ethical soundness, applicability across diverse contexts.

Language: Английский

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The governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives

Government Information Quarterly, Journal Year: 2024, Volume and Issue: 41(2), P. 101929 - 101929

Published: April 3, 2024

In recent years, the effective governance of artificial intelligence (AI) systems has become a strategic necessity for many nations. Among those nations, Canada is particularly noteworthy: was first nation to implement national AI strategy, and more recently, Canada's federal provincial governments have designed implemented wide range initiatives that attempt intervene in variety potential impacts associated with systems. We present semi-systematic review synthesis 84 initiatives. find predominantly focus on developing programs, policies, plans industry innovation, technology production use, research, public administration. Conversely, we relatively little ethics statements or standards, as well intervening social workforce development services, education training, digital infrastructure. suggest three opportunities researchers four practitioners that, if enacted, would strengthen overall state Canadian governance. Our study contributes novel macro-scale within context, practical challenges related evaluation initiative outcomes, trust participation initiatives, impact representation unification.

Language: Английский

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Trustworthy AI in the public sector: An empirical analysis of a Swedish labor market decision-support system

Technology in Society, Journal Year: 2024, Volume and Issue: 76, P. 102471 - 102471

Published: Jan. 26, 2024

This paper investigates the deployment of Artificial Intelligence (AI) in Swedish Public Employment Service (PES), focusing on concept trustworthy AI public decision-making. Despite Sweden's advanced digitalization efforts and widespread application sector, our study reveals significant gaps between theoretical ambitions practical outcomes, particularly context AI's trustworthiness. We employ a robust framework comprising Institutional Theory, Resource-Based View (RBV), Ambidexterity to analyze challenges discrepancies implementation within PES. Our analysis shows that while promises enhanced decision-making efficiency, reality is marred by issues transparency, interpretability, stakeholder engagement. The opacity neural network used agency assess jobseekers' need for support lack comprehensive technical understanding among PES management contribute achieving transparent interpretable systems. Economic pressures efficiency often overshadow ethical considerations involvement, leading decisions may not be best interest jobseekers. propose recommendations enhancing trustworthiness services, emphasizing importance engagement, involving jobseekers process. advocates more nuanced balance use technologies leveraging internal resources such as skilled personnel organizational knowledge. also highlight improved literacy both effectively navigate integration into processes. findings ongoing debate AI, offering detailed case bridges gap exploration application. By scrutinizing PES, we provide valuable insights guidelines other sector organizations grappling with their

Language: Английский

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Factors influencing the adoption of artificial intelligence systems: a systematic literature review

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Purpose Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short expectations, leading unsuccessful implementations. This paper aims identify elucidate factors influencing AI at both organisational individual levels. Developing a conceptual model, it contributes understanding underlying individual, social, technological, environmental guides future research in this area. Design/methodology/approach The authors have conducted systematic literature review synthesise on determinants adoption. In total, 90 papers published field context were reviewed set Findings study categorised system into organisational, technological factors. Firm-level found impact employee behaviour towards systems. Further is needed understand effects these perceptions, emotions behaviours new These findings led proposal theory-based model illustrating relationships between factors, challenging assumption independence influencers firm Originality/value one first current knowledge adoption, serving as theoretical foundation for further emerging field. developed integrates key from levels, offering holistic view interconnectedness various approach challenges that levels operate independently. Through study, information researchers practitioners gain deeper enhancing insight its impacts.

Language: Английский

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Unlocking Patient Resistance to AI in Healthcare: A Psychological Exploration

European Journal of Investigation in Health Psychology and Education, Journal Year: 2025, Volume and Issue: 15(1), P. 6 - 6

Published: Jan. 8, 2025

Artificial intelligence (AI) has transformed healthcare, yet patients' acceptance of AI-driven medical services remains constrained. Despite its significant potential, patients exhibit reluctance towards this technology. A notable lack comprehensive research exists that examines the variables driving resistance to AI. This study explores influencing adopt AI technology in healthcare by applying an extended Ram and Sheth Model. More specifically, roles need for personal contact (NPC), perceived technological dependence (PTD), general skepticism toward (GSAI) shaping patient integration. For reason, a sequential mixed-method approach was employed, beginning with semi-structured interviews identify adaptable factors healthcare. It then followed survey validate qualitative findings through Structural Equation Modeling (SEM) via AMOS (version 24). The confirm NPC, PTD, GSAI significantly contribute Precisely, who prefer interaction, feel dependent on AI, or are skeptical AI's promises more likely resist adoption. highlight psychological offering valuable insights administrators. Strategies balance efficiency human mitigate dependence, foster trust recommended successful implementation adds theoretical understanding Innovation Resistance Theory, providing both conceptual practical implications effective incorporation

Language: Английский

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