Research
Active grants:
TAČR – Technology Agency of Czech Republic
Project name: PrediTech
Research area: Predictive maintenance of telematics systems
Timing: 2023-25
Solution team: CTU FACULTY OF TRANSPORTATION SCIENCES, VŠE Praha – Prague Data Ethics Lab, Yunex, Tritium Systems
ŠKODA Auto I.
Project name: Intro to AV & AI ethics
Research area: Ethics of autonomous vehicles
Timing: 2022-23
Solution team: VŠE Praha, Prague Data Ethics Lab
ŠKODA Auto II.
Project name: Research on AV adoption according to TAM models (AV & TAM)
Research area: Autonomous Vehicles & Technology Adoption Models
Timing: 2023-24
Solution team: VŠE Praha, Prague Data Ethics Lab
Research areas:
Theoretical research:
List of topics we are working on and searching grant opportunities:
- Responsible AI (Ethical & Explainable technology)
- Privacy calculus & Machine automation vs Human autonomy
- The impact of information technology on information overload
- Online communities (analysis, categorization and scaling of online communities, particularly in relation to collective identity and social identity of individual users)
- Governance of AI / Big Data projects supported by new ethical methodology & assurance tools
- Humans’ vs machines decision making process and their uniqueness, and differences
- Role of altruism in the digital era and its contribution to better government of societ, societal, organisational and individual perspective
- Algorithms of social media and their impact to manipulation of society
- 5-6G Mobile networks from the perspective of different interest groups
- Autonomous vehicles & issues that need to be solved before implementation
We are currently working on the submission of grants under the EU Horizon, Interregion, TAČR and IGA projects.
Applied research:
From autumn 2021, the Lab offer educational and consulting services in the field of Data Ethics and related topics generated not only from academia.
Selected Publications:
NOVÁK, Richard, PAVLÍČEK, Antonín. Data Experts as the Balancing Power of Big Data Ethics. Information [online]. 2021, roč. 12, č. 3. 14 s. ISSN 2078-2489. DOI: 10.3390/info12030097.
NOVÁK, Richard, PAVLÍČEK, Antonín. Big Data Ethics and Specific Differences from General Data Ethics. IDIMT 2020: Digitalized Economy, Society and Information Management – 28th Interdisciplinary Information Management Talks; Trauner Verlag: Linz, Austria, 2020; Vol. 28, pp. 223–230.
SIGMUND, Tomáš. Online behaviour and privacy disclosure. In: Proceedings of the 17th International Conference Efficiency and Responsibility in Education 2020 [online]. Prague, 04.06.2020 – 05.06.2010. Prague : Faculty of Economics and Management, 2020, s. 272–278. ISBN 978-80-213-3022-1. ISSN 2336-744X. Available at: https://erie.v2.czu.cz/dl/87298?lang=en.
SIGMUND, Tomáš. Information and Openness. In: Theoretical Information Studies, Information in the World. Singapur : World Scientific Publishing, 2020, s. 499–511. 511 s. ISBN 978-981-3277-48-9
Conferences:
KPMG DATA FESTIVAL September 2022, Autonomous vehicles and ethical AI, YouTube video
KPMG DATA FESTIVAL September 2020, Video on You Tube, see the link below.
Panel discussion on: Data, have we crossed the Rubicon? (Richard Novak, David Slánský, Cyril Klepek)