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

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. 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. 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. 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?
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Monett et al. (2022). Narratives that speak AI lingua?

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
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Monett et al. (2022). Narratives that speak AI lingua?

6. Research questions
Linguistic Analysis
E.g. Which concrete
AI-related
terminology is used
and which are its
characteristics?
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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. Research design (2)
Preparing
Visualising
Analysing
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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. Categories of AI-related
terminology
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Monett et al. (2022). Narratives that speak AI lingua?
Images:
Flaticon.com

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
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. Findings (i)
Overview of the words occurrences in each category for all the DAX 30 annual over time.
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Monett et al. (2022). Narratives that speak AI lingua?

12. Findings (ii)
Results when using different NLP and PDF-file-processing libraries.
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Monett et al. (2022). Narratives that speak AI lingua?

13. Findings (iii)
Occurrences for the category AI Synonyms over the years.
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Monett et al. (2022). Narratives that speak AI lingua?

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.
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Monett et al. (2022). Narratives that speak AI lingua?

15. Demystifying AI in the public
sphere may consider actual
narratives that provide an
invaluable evidence of what
does not go easily hyped.
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Monett et al. (2022). Narratives that speak AI lingua?

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