The Role of AI in Skilling, Upskilling, and Reskilling the Workforce

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 408 - 420

Published: June 3, 2024

Rapid technical breakthroughs and economic upheavals in the modern labour market require constantly evolving workforce capabilities. This change is sparked by AI, which introduces individualised learning paths transforms conventional training methods. study explores how artificial intelligence (AI) uses machine algorithms natural language processing to create personalised programmes identify skill gaps.Analysing AI's capacity deliver customised experiences, abstract probes AI systems adjust different learners' preferences for speed, style, degree of expertise. It intelligent tutoring systems, AI-powered recommendation engines, adaptive emphasising their function selecting tailored information according student performance preferences. Case examples from real world demonstrate can improve worker various sectors scalable flexible it be huge organisations small medium-sized businesses.

Language: Английский

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Community Monitoring of Natural Resource Systems and the Environment

Annual Review of Environment and Resources, Journal Year: 2022, Volume and Issue: 47(1), P. 637 - 670

Published: Aug. 17, 2022

Community monitoring can track environmental phenomena, resource use, and natural management processes of concern to community members. It also contribute planning decision-making empower members in management. While that addresses the crisis is growing, it gathers data on other global challenges: climate change, social welfare, health. Some programs are challenged by limited collective action participation, insufficient state responsiveness proposals, lack sustainability over time. Additionally, environment increasingly harassed sometimes killed. more effective with improved collection, sharing, andstronger efforts meet information needs, enable conflict resolution, strengthen self-determination. Other promising areas for development further incorporating governance issues, embracing integrated approaches at level, establishing stronger links national frameworks.

Language: Английский

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Human-Centered Artificial Intelligence: Designing for User Empowerment and Ethical Considerations

Published: June 8, 2023

Human-Centered Artificial Intelligence (AI) focuses on AI systems prioritizing user empowerment and ethical considerations. We explore the importance of usercentric design principles guidelines in creating technologies that enhance experiences align with human values. It emphasizes through personalized explainable AI, fostering trust agency. Ethical considerations, including fairness, transparency, accountability, privacy protection, are addressed to ensure respect rights avoid biases. Effective collaboration is emphasized, promoting shared decision-making control. By involving interdisciplinary collaboration, this research contributes advancing human-centered providing practical recommendations for designing experiences, promote empowerment, adhere standards. harmonious coexistence between humans enhancing well-being autonomy a future where benefit humanity. Overall, highlights significance positive impact. centering users' needs values, can be designed empower individuals their experiences. considerations crucial fairness transparency. With effective we harness potential create aligns aspirations promotes societal well-being.

Language: Английский

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Hybrid Intelligence for Marine Biodiversity: Integrating Citizen Science with AI for Enhanced Intertidal Conservation Efforts at Cape Santiago, Taiwan

Sustainability, Journal Year: 2024, Volume and Issue: 16(1), P. 454 - 454

Published: Jan. 4, 2024

Marine biodiversity underpins the formation of marine protected areas (MPAs), necessitating detailed surveys to account for dynamic temporal and spatial distribution species influenced by tidal patterns microhabitats. The reef rock intertidal zones adjacent urban centers, such as Taiwan’s Cape Santiago, exhibit significant biodiversity, yet they are increasingly threatened tourism-related activities. This study introduces an artificial intelligence (AI)-empowered citizen science (CS) approach within local community address these challenges. By integrating CS with AI, we establish a hybrid (HI) system that conducts in situ biological educational programs focused on ecological conservation. initiative not only facilitates collective gathering AI-assisted analysis critical data but also uses machine-learning outputs gauge quality, thus informing subsequent collection refinement strategies. resulting collectivity iterative enhancement foster mutual continuous HI learning environment. Our model proves instrumental fostering engagement public involvement endeavors, cultivating skills necessary documenting rocky shifts. These efforts pivotal design governance future MPAs, ensuring their efficacy sustainability

Language: Английский

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Algorithmic management in scientific research

Research Policy, Journal Year: 2024, Volume and Issue: 53(4), P. 104985 - 104985

Published: March 15, 2024

Language: Английский

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Understanding Human-Centred AI: a review of its defining elements and a research agenda

Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 40

Published: Feb. 16, 2025

Language: Английский

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Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(4), P. 2198 - 2198

Published: Feb. 8, 2023

With the widespread availability and pervasiveness of artificial intelligence (AI) in many application areas across globe, role crowdsourcing has seen an upsurge terms importance for scaling up data-driven algorithms rapid cycles through a relatively low-cost distributed workforce or even on volunteer basis. However, there is lack systematic empirical examination interplay among processes activities combining crowd-machine hybrid interaction. To uncover enduring aspects characterizing human-centered AI design space when involving ensembles crowds their symbiotic relations requirements, Computer-Supported Cooperative Work (CSCW) lens strongly rooted taxonomic tradition conceptual scheme development taken with aim aggregating some main component entities burgeoning domain crowd-AI centered systems. The goal this article thus to propose theoretically grounded empirically validated analytical framework study interaction its environment. Based scoping review several cross-sectional analyses research studies comprising forms human systems applications at crowd scale, available literature was distilled incorporated into unifying comprised units integration dimensions that range from original time axes which every collaborative activity take place attributes constitute architecture. upshot turning challenges are inherent tasks requiring massive participation, novel properties can be obtained set potential scenarios go beyond single experience interacting technology comprise vast machine-crowd interactions.

Language: Английский

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Hybrid forecasting of geopolitical events^†

AI Magazine, Journal Year: 2023, Volume and Issue: 44(1), P. 112 - 128

Published: March 1, 2023

Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we developed SAGE, a hybrid system that combines human and machine generated forecasts. The provides platform where users can interact with models thus anchor their judgments an objective benchmark. also aggregates forecasts weighting both propinquity based assessed skill while adjusting overconfidence. We present results the Hybrid Forecasting Competition (HFC) - larger than comparable tournaments including 1085 398 real-world problems over eight months. Our main result is more compared human-only baseline which had no predictions. found skilled forecasters who access machine-generated outperformed those only viewed historical data. demonstrated inclusion of in our aggregation algorithms improved performance, terms accuracy scalability. This suggests systems, potentially require fewer resources, be viable approach maintaining competitive level number questions.

Language: Английский

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Extracting secondary data from citizen science images reveals host flower preferences of the Mexican grass‐carrying wasp Isodontia mexicana in its native and introduced ranges

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(6)

Published: June 1, 2024

Abstract We investigated the plant‐pollinator interactions of Mexican grass‐carrying wasp Isodontia mexicana— native to North America and introduced in Europe 1960s — through use secondary data from citizen science observations. applied a novel exchange workflow two global platforms, iNaturalist Pl@ntNet. Images were used query Pl@ntNet application identify possible plant species present pictures. Simultaneously, botanists manually identified plants at family, genus levels additionally documented flower color biotic interactions. The goals calibrate Pl@ntNet's accuracy relation this workflow, update list that I. mexicana visits as well its preferences ranges. In addition, we types corresponding frequencies other incidentally captured on scientists' images. Although known host could be expanded, identifying flora images predominantly show an insect proved difficult for both experts app. performs with 75% probability correct identification level score 0.8, over 90% chance family 0.5. number above these scores may limited due parts pictures, our approach can help get overview into generate more specific research questions. It triaging method select further investigation. Additionally, manual analysis has shown information they contain offers great potential learning about ecology new range.

Language: Английский

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Citizen science games on the timeline of quantum games

The European Physical Journal Plus, Journal Year: 2024, Volume and Issue: 139(8)

Published: Aug. 23, 2024

Abstract This article provides an overview of existing quantum physics-related games, referred to as games , that serve citizen science research in physics. Additionally, we explore the connection between and computer played on computers. The information presented is derived from academic references supplemented by diverse sources, including social media publications, conference presentations blog posts groups developers associated with games. We observe current landscape shaped three distinct driving forces: serious application evolution computers open game development events such Quantum Game Jams . Notably, plays influential role all aspects. points design guides for views future prospects projects through collaborative endeavours, human–machine collaboration access

Language: Английский

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