de Kleijn, MariaSiebert, MarkHuggett, Sarah2025-09-242025-09-242017Schwab, K. (2016) The Fourth Industrial Revolution. Currency. Available at: https://www.weforum.org/about/the-fourth-industrial-revolution-by-klaus-schwab. Adams, R. L. (2017) 10 Powerful Examples of Artificial Intelligence in Use Today, Forbes. Available at: https://www.forbes.com/sites/robertadams/2017/01/10/10-powerful-examplesof-%0Aartificial-intelligence-in-use-today/#5590a7c9420d (Accessed: 19 November 2018). Lee, K.-F. (2018) AI Superpowers: China, Silicon Valley, and the New World Order. New York: Houghton Mifflin Harcourt. Available at: https://aisuperpowers.com/about/about-the-book. Manyika, J. et al. (2017) Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation_Mckinsey Global Institute, McKinsey Global Institute. Available at: https://www.mckinsey.com/~/media/McKinsey/Featured Insights/Future of Organizations/What the future of work will mean for jobs skills and wages/MGI-Jobs-Lost-Jobs-Gained-Report-December-6-2017.ashx. Dutton, T. (2018) An Overview of National AI Strategies, Medium. Available at: https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd (Accessed: 19 November 2018). Marr, B. (2018) The Key Definitions Of Artificial Intelligence (AI) That Explain Its Importance. Available at: https://www.forbes.com/sites/bernardmarr/2018/02/14/the-key-definitions-of-artificial-intelligence-ai-that-explain-its-importance/#3bb229374f5d. Cockburn, I. M., Henderson, R. and Stern, S. (2017) The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis. Available at: http://www.nber.org/chapters/c14006. The Elsevier Fingerprint Engine™ identifies concepts and their importance in any given text by using a wide range of thesauri and data-driven controlled vocabularies covering all scientific disciplines, and by applying a variety of Natural Language Processing (NLP) techniques. The resulting terms are of high quality and more representative than standard sets of keywords, which often contain duplicates, synonyms, and inclusion of irrelevant terms. Elsevier (2018), Research metrics guidebook. Available at https://www.elsevier.com/research-intelligence/resource-library/research-metrics-guidebook The Framework Programmes for Research and Technological Development, also called Framework Programmes or abbreviated FP1 to FP7 with "FP8" being named "Horizon 2020" and “FP9” to “Horizon Europe”, are funding programmes created by the European Union/European Commission to support and foster research in the European Research Area (ERA). See https://ec.europa.eu/info/designing-next-research-and-innovation-framework-programme/what-shapes-next-framework-programme_en China Copyright and Media (2017) A Next Generation Artificial Intelligence Development Plan. Retrieved from The law and policy of media in China. Available at: https://chinacopyrightandmedia.wordpress.com/2017/07/20/a-next-generation-artificial-intelligence-development-plan/. Sample, I. (2017) ‘Big tech firms’ AI hiring frenzy leads to brain drain at UK universities’, The Guardian, 2 November. Available at: https://www.theguardian.com/science/2017/nov/02/big-tech-firms-google-ai-hiring-frenzy-brain-drain-uk-universities. European Group on Ethics in Science and New Technologies (2018) Statement on Artificial Intelligence, Robotics and ‘Autonomous’ Systems. Luxembourg. Available at: https://ec.europa.eu/research/ege/pdf/ege_ai_statement_2018.pdf. Jirotka, M. et al. (2017) ‘Responsible Research and Innovation in the Digital Age’, Communications of the ACM, 60(5), pp. 62–68. doi: 10.1145/3064940. Stahl, B. C., Timmermans, J. and Mittelstadt, B. D. (2016) ‘The Ethics of Computing: A Survey of the Computing-Oriented Literature’, ACM Computing Surveys (CSUR), 48(4), p. 38 Elsevier (2018) ‘Artificial Intelligence: How knowledge is created, transferred, and used’. Available at https://www.elsevier.com/connect/resource-center/artificial-intelligencehttps://repository.ifla.org/handle/20.500.14598/6732The growing importance and relevance of artificial intelligence (AI) to humanity is undisputed. However, AI does not seem to have a universally agreed definition, and different sectors of society use very different vocabulary to describe AI. Using AI to define AI, we were able to detect the relevant body of research, further structure it in sub-fields, and give a comprehensive overview of the research landscape. There are strong regional differences in AI activity: • China aspires to lead globally in AI and focuses on computer vision. It shows a rapid rise in scholarly output and citation impact. A net brain gain of AI researchers to China also suggests an attractive research environment. • Europe is the largest producer of AI scholarly output, but appears to be losing academic AI talent. The broad spectrum of AI research in Europe reflects the diversity of European countries, each with their own agenda and specialties. • AI research in the United States is robust, both in terms of scholarly output and talent retention. The US benefits from a strong corporate sector. The corpus shows less diversity in AI research than Europe but more than China. A key area of further development in AI research worldwide is on ethical issues pertaining to AI. While a major topic in daily conversation, there is surprisingly little formal research published on AI ethics to date. We believe there is a need for more AI ethics research, which would bring many benefits to the field, its development, and its applications.enAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/Articlehttps://2019.ifla.org/conference-programme/satellite-meetings/open accessAIResearch Performancebibliometricsmachine learningscientometrics