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Creative and strategic capabilities of generative AI : evidence from large-scale experiments

Bohren, Noah; Hakimov, Rustamdjan; Lalive, Rafael - 2024

Generative artificial intelligence (AI) has made substantial progress, but its full capabilities remain unclear, and we still lack a comprehensive understanding of how people augment productivity with AI and perceive AI-generated outputs. This study compares the ability of AI to a representative...

Persistent link: https://www.econbiz.de/10015064420

Professions and Expertise : How Machine Learning and Blockchain are Redesigning the Landscape of Professional Knowledge and Organisation

Flood, John - 2019

effects of artificial intelligence and blockchain on professions and their knowledge bases. We start by examining the nature …

Persistent link: https://www.econbiz.de/10012898539

Artificial intelligence, jobs, inequality and productivity : does aggregate demand matter?

Gries, Thomas; Naudé, Wim - 2018

Rapid technological progress in artificial intelligence (AI) has been predicted to lead to mass unemployment, rising inequality, and higher productivity growth through automation. In this paper we critically re-assess these predictions by (i) surveying the recent literature and (ii)...

Persistent link: https://www.econbiz.de/10011951702

The race against the robots and the fallacy of the giant cheesecake : immediate and imagined impacts of artificial intelligence

Naudé, Wim - 2019

After a number of AI-winters, AI is back with a boom. There are concerns that it will disrupt society. The immediate concern is whether labor can win a 'race against the robots' and the longer-term concern is whether an artificial general intelligence (super-intelligence) can be controlled. This...

Persistent link: https://www.econbiz.de/10011993083

Artificial Intelligence and the discovery of new ideas : is an economic growth explosion imminent?

Almeida, Derick; Naudé, Wim; Sequeira, Tiago Neves - 2024

function (IPF) and propose three models relating innovation, AI and population: AI as a research-augmenting technology; AI as … researcher scale enhancing technology; and AI as a facilitator of innovation. We show, performing model simulations calibrated on …

Persistent link: https://www.econbiz.de/10014464111

Artificial intelligence and entrepreneurship

Fossen, Frank M.; McLemore, Trevor; Sorgner, Alina - 2024

This survey reviews emerging but fast-growing literature on impacts of artificial intelligence (AI) on entrepreneurship, providing a resource for researchers in entrepreneurship and neighboring disciplines. We begin with a review of definitions of AI and show that ambiguity and broadness of...

Persistent link: https://www.econbiz.de/10014550353

The wrong kind of AI? : artificial intelligence and the future of labor demand

Acemoglu, Daron; Restrepo, Pascual - 2019

Artificial Intelligence is set to influence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological...

Persistent link: https://www.econbiz.de/10012001438

Evaluating internal and external knowledge sources in adopting artificial intelligence

D'Amico, Elettra; Belitski, Maksim; Colombelli, Alessandra - 2023

Persistent link: https://www.econbiz.de/10014388544

Finding Needles in Haystacks : Artificial Intelligence and Recombinant Growth

Agrawal, Ajay K. - 2018

Innovation is often predicated on discovering useful new combinations of existing knowledge in highly complex knowledge …, and particle physics. We develop a combinatorial-based knowledge production function and embed it in the classic Jones …. This production function is a generalization (and reinterpretation) of the Romer/Jones knowledge production function …

Persistent link: https://www.econbiz.de/10012920884

Is AI ground truth really true? : the dangers of training and evaluating AI tools based on experts' know-what

Lebovitz, Sarah; Levina, Natalia; Lifshitz-Assa, Hila - In: MIS quarterly 45 (2021) 3, pp. 1501-1526

Persistent link: https://www.econbiz.de/10012631440

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