Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction

Technology in Society, Год журнала: 2024, Номер 78, С. 102662 - 102662

Опубликована: Июль 17, 2024

This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into decision-making processes within organizations, employing a quasi-experimental pretest-posttest design. The study examines synergistic interaction between Human (HI) and GAI across four group scenarios three global organizations renowned for their cutting-edge operational techniques. research progresses through several phases: identifying problems, collecting baseline data on decision-making, implementing AI interventions, evaluating outcomes post-intervention to identify shifts in performance. results demonstrate that effectively reduces human cognitive burdens mitigates heuristic biases by offering data-driven support predictive analytics, grounded System 2 reasoning. is particularly valuable complex situations characterized unfamiliarity information overload, where intuitive, 1 thinking less effective. However, also uncovers challenges related integration, such as potential over-reliance technology, intrinsic 'out-of-the-box' without contextual creativity. To address these issues, this proposes an innovative strategic framework HI-GAI collaboration emphasizes transparency, accountability, inclusiveness.

Язык: Английский

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Higher education students’ perceptions of ChatGPT: A global study of early reactions

PLoS ONE, Год журнала: 2025, Номер 20(2), С. e0315011 - e0315011

Опубликована: Фев. 5, 2025

The paper presents the most comprehensive and large-scale global study to date on how higher education students perceived use of ChatGPT in early 2024. With a sample 23,218 from 109 countries territories, reveals that primarily used for brainstorming, summarizing texts, finding research articles, with few using it professional creative writing. They found useful simplifying complex information content, but less reliable providing supporting classroom learning, though some considered its clearer than peers teachers. Moreover, agreed need AI regulations at all levels due concerns about promoting cheating, plagiarism, social isolation. However, they believed could potentially enhance their access knowledge improve learning experience, efficiency, chances achieving good grades. While was as effective improving literacy, digital communication, content creation skills, interpersonal decision-making, numeracy, native language proficiency, development critical thinking skills. Students also felt would boost demand AI-related skills facilitate remote work without significantly impacting unemployment. Emotionally, mostly positive ChatGPT, curiosity calmness being common emotions. Further examinations reveal variations students' perceptions across different socio-demographic geographic factors, key factors influencing identified. Higher institutions' managers teachers may benefit these findings while formulating curricula instructions/regulations use, well when designing teaching methods assessment tools. policymakers consider strategies secondary system development, especially light changing labor market needs related development.

Язык: Английский

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Digital Transformation and Socio-Economic Development in Emerging Economies: A Multinational Analysis

Technology in Society, Год журнала: 2025, Номер unknown, С. 102834 - 102834

Опубликована: Фев. 1, 2025

Язык: Английский

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Bibliometric analysis of ChatGPT research in medical education (Preprint)

Опубликована: Фев. 8, 2025

Purpose: As ChatGPT has become more powerful, its application begun to permeate the field of medical education. This article employs bibliometric analysis examine evolution research concerning use in education and identify areas for further development this domain. Methods: July 14, 2024, all articles regarding within Web Science Core Collection were screened by two reviewers. VOSViewer was utilized illustrate relationships among countries, authors, keywords, whereas Citespace employed detect references exhibiting significant bursts activity. Results: The study analyzed a total 243 publications on There 1,226 different authors from 60 countries. top contributors United States, China, India. journal with highest number JMIR Medical Education, while Cures Journal had H-index. Conclusions: conducted 2023 identifying journals, involved field. findings provide comprehensive overview

Язык: Английский

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ARTIFICIAL INTELLIGENCE IN DEVELOPING COUNTRIES

Revista Gênero e Interdisciplinaridade, Год журнала: 2025, Номер 6(02), С. 60 - 82

Опубликована: Март 19, 2025

This paper presents the impact of artificial intelligence (AI) in developing countries, particularly African context, identifying challenges and opportunities that this technology offers. AI emerges as a potential tool to transform various sectors, including health, education, agriculture, countries like Angola. Although current context many opportunities, it also faces significant challenges, such insufficient infrastructure, need for capacity building, lack regulation. The research aims understand critical sectors evaluate conditions its effective adoption. methodology used involves systematic bibliographic review programs, articles, books reports, with focus on recent publications. study uses qualitative based interpretative analysis data obtained from sources, websites, libraries, national organizations, allowing articulation existing studies topic understanding reality countries. Overall, negative impacts may include dependence technological companies infrastructure developed inequality access technologies, ethical regulatory challenges. Among study’s limitations are specific implementation Angola between urban rural areas.

Язык: Английский

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“Positive” or “Threatened”? The Impact of the Features in Generative Artificial Intelligence on Continued Behavior

Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108654 - 108654

Опубликована: Март 1, 2025

Язык: Английский

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The impact of artificial intelligence on labor market: A study based on bibliometric analysis

Journal of Asian Economics, Год журнала: 2025, Номер unknown, С. 101926 - 101926

Опубликована: Март 1, 2025

Язык: Английский

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How Social Bots Affect Government-Public Interactions in Emerging Science and Technology Communication

International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Март 3, 2025

Язык: Английский

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Changes in Public Perception of ChatGPT: A Text Mining Perspective Based on Social Media

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Сен. 26, 2024

Язык: Английский

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Science or science‐fiction? Playing with ChatGPT to predict the future of the aquafeed industry

Reviews in Aquaculture, Год журнала: 2024, Номер 16(3), С. 995 - 996

Опубликована: Июнь 1, 2024

Technology continually reshapes our interactions with others and the broader society, environment, way we work play, possibly even think. This continuous change seems to have recently accelerated by widespread introduction of artificial intelligence (AI) tools. For those like us who are not AI experts, a simpler understand might be as combination algorithms technologies that enable machines mimic human-like cognitive functions, including problem-solving, learning from experience, recognising patterns, all guided human commands.1 Advanced capabilities, complex machine specialised decision-making processes, predominantly found in paid platforms, tailored for industrial collaborative use. Whereas other tools freely available public most them engage users natural language conversations, is, chatbots. Examples such open-source AIs include Gemini (Google-based), Meta.ai (developed Meta integrated their social media platforms), ChatGPT (OpenAI). While each platform offers distinct features functionalities, has notably revolutionised how general perceives utilises tools.2 Since its release November 2022, been adopted conversational widely used knowledge searches, marking significant shift accessibility usability everyday users. In context aquaculture, potential help drive activity towards more sustainable practices.3 ChatGPT, example, surely source information many aquaculture students farmers, an additional tool writing researching scientists. Most probably at least once fun curiosity, but also summarise information, provide definitions, interpret or translate text, revise code, searching explanation on unfamiliar concept related aquaculture. These functionalities offered chatbots, mostly based online. this editorial Reviews Aquaculture, wanted go beyond search solely past and, mix scientific curiosity trying add extra daily research tasks, asked predict future. We specifically explored predicting future trends aquafeed industry, inspired 6 out 20 papers published current issue directly focused fish nutrition.4-9 that, two questions prediction guidance, limited output 250 words. Prompts responses presented below: Q1. What will industry look end century? ChatGPT: "By century, is likely undergone transformations. With increasing demand seafood due population growth dwindling wild stocks, become dominant production. Aquafeed evolve efficient, incorporating innovative ingredients algae, insects, single-cell proteins reduce reliance traditional fishmeal oil derived wild-caught fish. Advancements biotechnology may production feed specific species, improving rates health outcomes while minimising environmental impacts. Precision feeding systems, driven IoT technologies, optimise regimes, reducing waste conversion ratios. Sustainability paramount, striving minimal impact through use renewable energy sources, closed-loop efficient resource utilisation. Vertical integration consolidation within lead emergence large multinational corporations dominating market, driving standardisation quality control. Furthermore, consumer preferences ethically sustainably sourced transparency traceability throughout supply chain, influencing formulation marketing products. Overall, 2100 characterised innovation, sustainability, technological meet growing global safeguarding planet." Q2. As researcher sustainability aiming I'm seeking guidance impactful topics focus on. top three key areas I should prioritise ensure 2100? "Alternative Protein Sources: Investigate develop alternative protein sources insect meal, proteins, algae dependency soy-based ingredients. Optimise methods scalability, nutritional quality, cost-effectiveness footprint. Circular Economy Approaches: Explore circular economy models recycling upcycling by-products streams industries. Research converting organic into high-quality ingredients, thus virgin resources mitigating pollution. Nutritional Optimisation Feeding: Focus fine-tuning formulations precision techniques, leveraging advances science additives. Develop personalised strategies life stages, conditions efficiency, minimise nutrient loss, overall impact." By analysing first prediction, felt innovation optimistic somewhat idealised, if utopian, sci-fi perspective, where technology-driven solutions fix problems. it highlights ambitious goals reflected recent research, predictions seem overlooking important factors could affect feasibility. instance, several studies trend less usage fish-based already taking place. However, complexities new need highlighted, mainly scaling up production, ensuring adequacy, understanding rheological organoleptic properties raw materials during manufacturing, addressing ecological ramifications large-scale cultivation materials. Additionally, assumption perpetuated community approaches always guarantee though there enough scientific, nor quantitative, evidence support that. Another critical concern emphasis vertical integration, which well reality require further considerations monopolistic control lack diversity, hiding rather than promoting local socio-economic sustainability. Reading then recommended topics, were disappointed, were, bit naively, expecting truly out-of-the-box suggestions. But here, see very little imagination no sci-fiction suggestions, reassuring creativity yet risk being replaced computer, now. summarised well-known, hot targeted nutrition researchers years. Investigations sources," "Circular approaches," "Nutritional optimisation feeding" relevant much welcomed, they indeed can contribute aquafeed. Yet, lacked fundamental advancing primarily depends ecological, social, economic perspectives, potentially context-specific diverse settings stakeholder needs. One insights gain exercise useful tool, increasingly be, utilised R&D. Not differently abacus, calculator, personal spreadsheet programs, make sense using it. It worth noting outputs depend prompts formulated, seen few words, constraining depth explanation. constraint becomes evident when comparing predictions, scalability was mentioned addressed second. Thus, feel caveat reported happen enthusiasts: possible misunderstanding misuse utilisation interpreting findings conceptualising unlikely produce any novel research. this, believe reading papers, written experts intimate direct expertise sector, expand reasonings, ultimately moving better hope you enjoy Aquaculture.

Язык: Английский

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