Experimental evidence on the productivity effects of generative artificial intelligence

Science, Journal Year: 2023, Volume and Issue: 381(6654), P. 187 - 192

Published: July 13, 2023

We examined the productivity effects of a generative artificial intelligence (AI) technology, assistive chatbot ChatGPT, in context midlevel professional writing tasks. In preregistered online experiment, we assigned occupation-specific, incentivized tasks to 453 college-educated professionals and randomly exposed half them ChatGPT. Our results show that ChatGPT substantially raised productivity: The average time taken decreased by 40% output quality rose 18%. Inequality between workers decreased, concern excitement about AI temporarily rose. Workers during experiment were 2 times as likely report using it their real job weeks after 1.6 months experiment.

Language: Английский

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A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice

Journal of Organizational Behavior, Journal Year: 2023, Volume and Issue: 45(2), P. 159 - 182

Published: Aug. 2, 2023

Summary The rising use of artificially intelligent (AI) technologies, including generative AI tools, in organizations is undeniable. As these systems become increasingly integrated into organizational practices and processes, understanding their impact on workers' experiences job designs critical. However, the ongoing discourse surrounding workplace remains divided. Proponents technology extol its benefits for enhancing efficiency productivity, while others voice concerns about potential harm to human workers. To provide greater clarity this pressing issue, article presents a systematic review empirical research that sheds light implications at work. Organized under five inductively generated themes within multilevel framework, we uncover individual, group, factors shape interplay between humans AI. Specifically, are: (1) human–AI collaboration; (2) perceptions algorithmic capabilities; (3) worker attitudes towards AI; (4) as control mechanism management platform‐based work; (5) labor market use. Our offers insights identifies pathways future research. Finally, practical recommendations leaders seeking implement technologies prioritizing employees' well‐being.

Language: Английский

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Generative AI in healthcare: an implementation science informed translational path on application, integration and governance

Implementation Science, Journal Year: 2024, Volume and Issue: 19(1)

Published: March 15, 2024

Abstract Background Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes. Generative capable of generating new data such text images, holds promise enhancing patient care, revolutionizing disease diagnosis expanding treatment options. However, utility impact AI healthcare remain poorly understood, concerns around ethical medico-legal implications, integration into service delivery workforce utilisation. Also, there is not clear pathway implement integrate delivery. Methods This article aims provide comprehensive overview use focusing on technology its translational application highlighting need for careful planning, execution management expectations adopting medicine. Key considerations include factors privacy, security irreplaceable role clinicians’ expertise. Frameworks like acceptance model (TAM) Non-Adoption, Abandonment, Scale-up, Spread Sustainability (NASSS) are considered promote responsible integration. These frameworks allow anticipating proactively addressing barriers adoption, facilitating stakeholder participation responsibly transitioning care systems harness AI’s potential. Results transform through automated systems, enhanced democratization expertise diagnostic support tools providing timely, personalized suggestions. applications across billing, diagnosis, research can also make more efficient, equitable effective. necessitates meticulous change risk mitigation strategies. Technological capabilities alone cannot shift complex ecosystems overnight; rather, structured adoption programs grounded implementation science imperative. Conclusions It strongly argued this that usher tremendous progress, if introduced responsibly. Strategic based science, incremental deployment balanced messaging opportunities versus limitations helps safe, Extensive real-world piloting iteration aligned priorities should drive development. With conscientious governance centred human wellbeing over technological novelty, enhance accessibility, affordability quality care. As these models continue advancing rapidly, ongoing reassessment transparent communication their strengths weaknesses vital restoring trust, realizing positive and, most importantly, improving

Language: Английский

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Generative artificial intelligence

Electronic Markets, Journal Year: 2023, Volume and Issue: 33(1)

Published: Dec. 1, 2023

Abstract Recent developments in the field of artificial intelligence (AI) have enabled new paradigms machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative through generative AI. Leveraging deep models, is capable producing novel and realistic content across a broad spectrum (e.g., texts, images, or programming code) for various domains based on basic user prompts. In this article, we offer comprehensive overview fundamentals with its underpinning concepts prospects. We provide conceptual introduction to relevant terms techniques, outline inherent properties that constitute AI, elaborate potentials challenges. underline necessity researchers practitioners comprehend distinctive characteristics order harness potential while mitigating risks contribute principal understanding.

Language: Английский

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Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?

JAMA, Journal Year: 2023, Volume and Issue: 331(1), P. 65 - 65

Published: Nov. 30, 2023

Since the introduction of ChatGPT in late 2022, generative artificial intelligence (genAI) has elicited enormous enthusiasm and serious concerns.

Language: Английский

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Lensing Legal Dynamics for Examining Responsibility and Deliberation of Generative AI-Tethered Technological Privacy Concerns

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 146 - 167

Published: April 4, 2024

The rapid integration of generative AI technology across various domains has brought forth a complex interplay between technological advancements, legal frameworks, and ethical considerations. In world where transcended its initial novelty is now woven into the fabric everyday life, boundaries human creativity machine-generated output are becoming increasingly blurred. paper scrutinizes existing privacy laws regulations through lens AI, seeking to uncover gaps, challenges, possible avenues for reform. It explores evolution jurisprudence in face disruption debates adequacy current frameworks address dynamic complexities AI-influenced infringements. By scrutinizing cases personal data been exploited by nefarious actors employing malevolent purposes, stark reality emerges: emergence new avenue breaches that tests limits frameworks.

Language: Английский

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Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation

International Journal of Production Research, Journal Year: 2024, Volume and Issue: 62(17), P. 6120 - 6145

Published: Jan. 31, 2024

This research examines the transformative potential of artificial intelligence (AI) in general and Generative AI (GAI) particular supply chain operations management (SCOM). Through lens resource-based view based on key capabilities such as learning, perception, prediction, interaction, adaptation, reasoning, we explore how GAI can impact 13 distinct SCOM decision-making areas. These areas include but are not limited to demand forecasting, inventory management, design, risk management. With its outcomes, this study provides a comprehensive understanding GAI's functionality applications context, offering practical framework for both practitioners researchers. The proposed systematically identifies where be applied SCOM, focussing enhancement, process optimisation, investment prioritisation, skills development. Managers use it guidance evaluate their operational processes identify deliver improved efficiency, accuracy, resilience, overall effectiveness. underscores that GAI, with multifaceted applications, open revolutionary substantial implications future practices, innovations, research.

Language: Английский

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Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 69812 - 69837

Published: Jan. 1, 2024

Language: Английский

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From fiction to fact: the growing role of generative AI in business and finance

Journal of Chinese Economic and Business Studies, Journal Year: 2023, Volume and Issue: 21(4), P. 471 - 496

Published: Aug. 9, 2023

ABSTRACTGenerative Artificial Intelligence (AI), such as ChatGPT by OpenAI, has revolutionized the business world, with benefits including improved accessibility, efficiency, and cost reduction. This article reviews recent developments of generative AI in finance, summarizes its practical applications, provides examples latest tools, demonstrates that can revolutionize data analysis industry academia. To test ability to support decision-making financial markets, we use capture corporate sentiments towards environmental policy inputting text extracted from statements. Our results demonstrate sentiment scores generated predict firms' risk-management capabilities stock return performance. study also highlights potential challenges limitations associated AI. Finally, propose several questions for future research at intersection finance.KEYWORDS: Generative AIChatGPTNatural Language ProcessingSentiment AnalysisPractical Applications Disclosure statementNo conflict interest was reported author(s).Notes1. Jon Fingas, '"Godfather AI" leaves Google amid ethical concerns.' Yahoo!Finance, May, 1, 2023. https://au.finance.yahoo.com/news/godfather-of-ai-leaves-google-amid-ethical-concerns-152451800.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAISEKsJ6kjQ9eRm46czn2aVAEmuqtVrc-e_Wbo9cofo0mOJepS0d9Hjk_k6ScYCUxx14n2icCEK_sEhBto6KW2A_DZI3RxHM_lvokFGWMhYY_nm5v2azQjfC1YDol8gAUcsXT1DiZTGOtbszYU9sI6ncLREswYuYGaF08gUQ3roA (accessed 3rd June, 2023).2. Calum Chace, 'ChatGPT Raises Old And New Concerns About A Conversation With Francesca Rossi.' Forbes, March, 8, https://www.forbes.com/sites/calumchace/2023/03/08/chatgpt-raises-old-and-new-concerns-about-ai-a-conversation-with-francesca-rossi/ 2023).3. Bard is a chatbot based on PaLM2 developed response rise initially launching March 2023.4. The difference between ChtGPT3.5 ChatGPT4 former GPT-3.5-turbo model, while latter GPT-4 model. According official OpenAI website, be subtle casual conversation. However, when complexity task reaches sufficient threshold, differences become apparent, since more reliable creative than able handle nuanced instructions.5. prices this question are virtual.6. Please note content an example many inputs, which vary one annual report another.7. In section, website version 3.5 it no restrictions gives relatively accurate results.8. John Revill, 'Swiss National Bank Chairman hints rate rises tackle inflation.' Reuters, 10, https://www.reuters.com/business/finance/swiss-national-bank-chairman-hints-rate-rises-tackle-inflation-2023-06-10/ 11 2023).9. not been connected Internet September 2021. By contrast, Microsoft Bing queries related things happened time point.Additional informationFundingThis supported State Scholarship Fund (No. 202206350067).Notes contributorsBoyang ChenBoyang Chen PhD Student China Agricultural University. She scholarship under (joint programme) currently studying University Edinburgh Business School. Her fields energy economics, economics policies, climate finance. published SSCI/SCI papers. Four her papers classified "ESI highly cited papers" (i.e. top 1% citation field) hot paper" 1‰ field).Zongxiao WuZongxiao Wu Candidate lies technology risk management, e.g., machine learning, credit scoring, natural language processing reject inference.Ruoran ZhaoRuoran Zhao Research Fellow School B-CCaS Centre, Visiting Scholar Brown Department Economics. interests include deep roots development culture legal institutions, fintech, gender bias markets.

Language: Английский

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Generative AI enhances individual creativity but reduces the collective diversity of novel content

Science Advances, Journal Year: 2024, Volume and Issue: 10(28)

Published: July 12, 2024

Creativity is core to being human. Generative artificial intelligence (AI)—including powerful large language models (LLMs)—holds promise for humans be more creative by offering new ideas, or less anchoring on generative AI ideas. We study the causal impact of ideas production short stories in an online experiment where some writers obtained story from LLM. find that access causes evaluated as creative, better written, and enjoyable, especially among writers. However, AI–enabled are similar each other than alone. These results point increase individual creativity at risk losing collective novelty. This dynamic resembles a social dilemma: With AI, individually off, but collectively narrower scope novel content produced. Our have implications researchers, policy-makers, practitioners interested bolstering creativity.

Language: Английский

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