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Narratives that speak AI lingua? AI vocabulary in listed companies' annual reports

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Narratives that speak AI lingua? AI vocabulary in listed companies' annual reports

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Slides of the talk at the 4th European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2022, December 1st-2nd 2022 (online)

Slides of the talk at the 4th European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2022, December 1st-2nd 2022 (online)

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Narratives that speak AI lingua? AI vocabulary in listed companies' annual reports

  1. 1. Narratives that speak AI lingua? AI vocabulary in listed companies’ annual reports Dagmar Monett, Claudia Lemke, Liadan Anandarajah, Tom Brandherm Berlin School of Economics and Law, Germany dagmar.monett-diaz@hwr-berlin.de, claudia.lemke@hwr-berlin.de, s_anandarajah19@stud.hwr-berlin.de, s_brandherm19@hwr-berlin.de 4th European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2022 A Virtual Conference, 1 - 2 December, 2022 supported by EM Normandie Business School, Oxford Campus, UK
  2. 2. How to cite this work 2 Monett et al. (2022). Narratives that speak AI lingua? Monett, D., Lemke, C., Anandarajah, L., & Brandherm, T. (2022). Narratives that speak AI lingua? AI vocabulary in listed companies' annual reports. In Proceedings of the 4th European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2022, Vol. 4, No. 1, pp. 54-63, Academic Conferences International Ltd., UK. Slides available at https://www.slideshare.net/dmonett/monettetal2022eciair Paper available at https://papers.academic-conferences.org/index.php/ecair/article/view/929
  3. 3. Coeckelbergh, M. (2021). Narrative responsibility and artificial intelligence: How AI challenges human responsibility and sense-making. AI & Society. https://doi.org/10.1007/s00146-021-01375-x “[W]e need to scrutinize the grand narratives about AI that currently pervade AI discourse. 3 Monett et al. (2022). Narratives that speak AI lingua?
  4. 4. How does corporate communication report about the actual level of AI adoption in financial and legal documents? Concretely, how do DAX 30 corporations “speak” the AI lingua? 4 Monett et al. (2022). Narratives that speak AI lingua?
  5. 5. Research design (1) Identifying Defining Selecting Constructing (See details in the next slide!) Research objectives and research questions Systematic data collection of DAX 30 annual reports (2010-2020). Data Collection Systematic literature review. Synthesis of selected works. Literature review Quantitative approach. Descriptive analysis of trends. Test Mining. NLP algorithms and libraries. Approach, methods, and tools 5 Monett et al. (2022). Narratives that speak AI lingua?
  6. 6. Research questions Linguistic Analysis E.g. Which concrete AI-related terminology is used and which are its characteristics? 6 Monett et al. (2022). Narratives that speak AI lingua? Semantic Analysis E.g. Are there AI- related terms that are hyped in the media also used in the annual reports? Business Context E.g. Do fundamental statements change under the influence of the current media hype of AI? Three major groups:
  7. 7. Research design (2) Preparing Visualising Analysing 7 Monett et al. (2022). Narratives that speak AI lingua? Pre- and post- processing of the collected data. Data processing Visualisation, preparation, interpretation and documentation of results. Results, documentation Mining and quantitative analysis of the selected documents Analysis
  8. 8. Categories of AI-related terminology 8 Monett et al. (2022). Narratives that speak AI lingua? Images: Flaticon.com
  9. 9. Data and AI vocabulary DAX 30-listed companies, 312 annual reports, 2010-2020, available as of May 2021 9 Monett et al. (2022). Narratives that speak AI lingua? 330 words, 6 broad categories of AI-related terminology: Processing: e.g. “prediction,” “monitoring,” AI synonyms: e.g. “artificial intelligence,” “machine learning” Product AI: e.g. “chatbot,” “robots” Business Process AI: e.g. “cybersecurity,” “pattern recognition” Data: e.g. “big data,” “clustering” Adjectives: e.g. “autonomous,” “augmented,” “semantic” Images: Flaticon.com
  10. 10. 10 Monett et al. (2022). Narratives that speak AI lingua? Analysis of annual reports Parsing Lemmatization, tokenization Frequency analysis, trends, statistics Visuali- sation of results 22 hours Same hardware 8 hours Dell Latitude 2018 laptop Windows 11 OS 16 GB of RAM For comparing different technologies for text extraction and NLP GitHub repos: DAX30-Analyser https://github.com/tombo92/DAX30-Analyser.git DAX30-GoogleTrends https://github.com/liadanxa/DAX30-GoogleTrends.git
  11. 11. Findings (i) Overview of the words occurrences in each category for all the DAX 30 annual over time. 11 Monett et al. (2022). Narratives that speak AI lingua?
  12. 12. Findings (ii) Results when using different NLP and PDF-file-processing libraries. 12 Monett et al. (2022). Narratives that speak AI lingua?
  13. 13. Findings (iii) Occurrences for the category AI Synonyms over the years. 13 Monett et al. (2022). Narratives that speak AI lingua?
  14. 14. When assessing or determining the opportunities and challenges of AI in enterprise, it is crucial to have an understanding of the reality of AI adoption in that context. 14 Monett et al. (2022). Narratives that speak AI lingua?
  15. 15. Demystifying AI in the public sphere may consider actual narratives that provide an invaluable evidence of what does not go easily hyped. 15 Monett et al. (2022). Narratives that speak AI lingua?
  16. 16. Narratives that speak AI lingua? AI vocabulary in listed companies’ annual reports Dagmar Monett, Claudia Lemke, Liadan Anandarajah, Tom Brandherm Berlin School of Economics and Law, Germany dagmar.monett-diaz@hwr-berlin.de, claudia.lemke@hwr-berlin.de, s_anandarajah19@stud.hwr-berlin.de, s_brandherm19@hwr-berlin.de 4th European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2022 A Virtual Conference, 1 - 2 December, 2022 supported by EM Normandie Business School, Oxford Campus, UK

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