The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms

By Spyros Makridakis. 2017

1,447 citations recorded by the source corpus.

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In Economics and Econometrics

Citations in the corpus

The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022, background): “Society will be profoundly impacted by Artificial Intelligence (AI) over the next few decades (e.g., Makridakis, 2017; Olhede & Wolfe, 2018; Vesnic-Alujevic et al., 2020).”
Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature (2020, background): “[202,203], and; (b) Particularly, AI, with its technology, algorithms and learning capabilities, can be a useful vehicle in automating the problem solving and decision-making processes; that in return could”
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023, background): “AI has already had a significant impact on various industries such as pharmaceutical, industrial, financial, medical, and managerial, and is expected to play a crucial role in helping businesses of all sizes stay competitive in the global economy (Makridakis, 2017).”
A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being (2020, background): “In the past few decades, there have been significant advances in automation, digitisation, machine learning, artificial intelligence and other technology (Makridakis, 2017).”
Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare (2019, background): “Currently, many authors refer to AI as bringing in a new revolution, as a consequence of how machines have transformed the way work is carried out by humans (Makridakis, 2017).”
A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2020, neutral): “Over recent decades, neural networks (NNs) and other machine learning (ML) algorithms have achieved remarkable success in various areas, including image and speech recognition, natural language processing (NLP), autonomous vehicles and games (Makridakis, 2017), among others.”
Trustworthy artificial intelligence (2020, background): “As a form of intellectual property, AI models increasingly represent an important factor in achieving competitive advantages (Haenlein and Kaplan 2019; Makridakis 2017).”
Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust (2020, neutral): “The inexorable implementation of AI-technologies is being driven by a number of factors (Androutsopoulou, Karacapilidis, Loukis, & Charalabidis, 2019; Brown, 2018; Makridakis, 2017).”
A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs (2021, background): “Artificial intelligence (AI) permeates all aspects of modern society, and the forthcoming artificial intelligence revolution is arguably already here [1].”