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As organizations grapple with the rapid adoption of Generative AI (GenAI), this study synthesizes the state of knowledge through a systematic literature review of secondary studies and research agendas. Analyzing 28 papers published since…

This briefing paper focuses on data equity within foundation models, both in terms of the impact of Generative AI (genAI) on society and on the further development of genAI tools. GenAI promises immense potential to drive digital and social…

Generative Artificial Intelligence (GenAI) is transforming how firms create, process, and apply knowledge, yet little is known about the heterogeneity of its productivity effects across users. We report results from a randomized controlled…

Artificial Intelligence · Computer Science 2026-05-19 Lihi Idan , Bharat Anand

Generative AI (GenAI) tools are rapidly transforming knowledge work, making AI literacy a critical priority for organizations. However, research on AI literacy lacks empirical insight into how knowledge workers' beliefs around GenAI…

Human-Computer Interaction · Computer Science 2026-04-28 Qing Nancy Xia , Marios Constantinides , Advait Sarkar , Duncan Brumby , Anna Cox

PEER-REVIEWED AND ACCEPTED IN IEEE- ISTAS 2025 The rapid evolution of Generative AI (GenAI) has introduced unprecedented opportunities while presenting complex challenges around ethics, accountability, and societal impact. This paper draws…

Computers and Society · Computer Science 2025-09-16 Dhari Gandhi , Himanshu Joshi , Lucas Hartman , Shabnam Hassani

This paper explores the transformative impact of Generative AI (GenAI) on the business landscape, examining its role in reshaping traditional business models, intensifying market competition, and fostering innovation. By applying the…

Computers and Society · Computer Science 2024-11-25 Narotam Singh , Vaibhav Chaudhary , Nimisha Singh , Neha Soni , Amita Kapoor

The rapid expansion of generative artificial intelligence (AI) is transforming work, creativity, and economic security in ways that extend beyond automation and productivity. This paper examines four interconnected dimensions of…

Computers and Society · Computer Science 2026-01-22 Haocheng Lin

Context: Software engineering (SE) researchers increasingly study Generative AI (GenAI) while also incorporating it into their own research practices. Despite rapid adoption, there is limited empirical evidence on how GenAI is used in SE…

Generative Artificial Intelligence is a powerful new technology with the potential to boost innovation and reshape governance in many industries. Nevertheless, organisations face major challenges in scaling GenAI, including technology…

Computers and Society · Computer Science 2025-05-13 Alexander Ettinger

Generative AI (GenAI) is rapidly transforming knowledge work, yet its implications for organizational hierarchies remain poorly understood. Unlike earlier automation technologies, GenAI can both perform tasks autonomously and assist human…

Theoretical Economics · Economics 2026-03-25 Fasheng Xu , Jing Hou , Wei Chen , Karen Xie

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology.…

Computers and Society · Computer Science 2025-03-11 Veda C. Storey , Wei Thoo Yue , J. Leon Zhao , Roman Lukyanenko

The rapid adoption of generative artificial intelligence (GenAI) in research presents both opportunities and ethical challenges that should be carefully navigated. Although GenAI tools can enhance research efficiency through automation of…

The latest technological developments in generative artificial intelligence (GAI) offer powerful capabilities to small and medium enterprises (SMEs), as they facilitate the democratization of both scalability and creativity. Even if they…

Computers and Society · Computer Science 2026-02-03 Kumaran Rajaram , Patrick Nicolas Tinguely

Despite the growing use of generative artificial intelligence (GenAI) in entrepreneurship, research on its impact remains fragmented. To address this limitation, we provide an integrative review of how GenAI influences entrepreneurs at each…

Computers and Society · Computer Science 2026-04-06 Jackson G. Lu , Gerui Gloria Zhao , Anna Manyi Zheng

Generative Artificial Intelligence (GenAI) rapidly transforms software engineering, yet existing research remains fragmented across individual tasks in the Software Development Lifecycle. This study integrates a systematic literature review…

Software Engineering · Computer Science 2026-03-19 Vincent Gurgul , Robin Gubela , Stefan Lessmann

Generative artificial intelligence (GenAI) is increasingly becoming a part of work practices across the technology industry and being used across a range of industries. This has necessitated the need to better understand how GenAI is being…

Computers and Society · Computer Science 2025-07-11 Aditya Johri , Johannes Schleiss , Nupoor Ranade

Context: The rapid emergence of generative AI (GenAI) tools has begun to reshape various software engineering activities. Yet, their adoption within agile environments remains underexplored. Objective: This study investigates how agile…

The rise of generative AI (GenAI) chatbots accessible via conversational interfaces is transforming digital interactions and holds economic promise. However, these tools might deepen existing inequalities -- not only through uneven,…

Generative Artificial Intelligence (GAI) has made outstanding strides in recent years, with a good-sized impact on software product management. Drawing on pertinent articles from 2016 to 2023, this systematic literature evaluation reveals…

Software Engineering · Computer Science 2023-06-08 Nishant A. Parikh

Generative Artificial Intelligence (GenAI) enables digital representatives to make decisions on behalf of team members in collaborative tasks, but faces challenges in accurately representing preferences. While supplying GenAI with detailed…

Computer Science and Game Theory · Computer Science 2025-12-16 Kexin Chen , Jianwei Huang , Yuan Luo
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