Artificial Intelligence: Technology Assessment in Austrian AI Start-ups

Feasibility study for the development of a self-assessment tool to identify social, legal and ethical risks for AI companies

What consequences does the use of new technologies such as algorithms and artificial intelligence have for society and companies? Numerous Austrian start-ups develop technologies and products based on methods of artificial intelligence. However, they often lack the know-how and methods to assess the consequences of the technologies developed. This results in risks for society as well as for the start-up itself. The aim of this exploratory project is therefore to assess the basic feasibility of technology assessment for Austrian AI start-ups and to develop a prototype for a self-assessment tool.

Austrian AI start-ups develop innovative technologies and highly scalable business models. This can have a major impact on society and enterprises. At the same time, social awareness of the ethical aspects of products and services is increasing. Thus, the success of companies also depends to a large extent on the trust of external stakeholders such as customers, investors, sponsors or future employees. If, for example, an AI star-tup gets into the media because of an unintentional and unanticipated gender bias in the data and calculations used, it will be tainted with a stigma that has a long-term negative impact on stakeholder relations.

 

Project description

Technical systems based on the methods of artificial intelligence have in recent years gained enormously in importance. Large-scale funding programmes for the development of artificial intelligence indicate an increase in significance for European industries. At the same time, the EU and national governments are focusing on issues such as 'trustworthy' AI, responsible research and innovation, ethical consequences of AI, and the publication of AI guidelines with the aim of developing AI systems that serve the common good.

There exist numerous methods that allow the systematic assessment of technology impacts. However, due to the dynamic development of companies, the high scalability and the limited resources available in the AI field, new methods have to be found that take into account the corporate culture and very specific organizational form of this field. The aim of this exploratory project is to determine the basic feasibility of technology assessment for Austrian AI start-ups and to develop a prototype of a self-assessment tool. The broadest possible introduction of such a tool should enable AI start-ups to identify and anticipate their risk areas in social, legal and ethical questions. These measures have a confidence-building effect and stabilize the relationships with all stakeholders. This also contributes to sensitising the Austrian AI start-up scene to possible consequences and risks.

Technology assessment mainly deals with social, political and economic consequences of technology development beyond the company level. In practice, it is often difficult or even impossible to derive concrete actions at the company level from the guidelines available so far, because these are typically located at the level of a sector or technology, but not at the level of individual companies, products and services. The present project meets this challenge of changing perspectives.

Publications

Publications

  • EPTA [Hrsg.],. (2023). Generative Artificial Intelligence. Opportunities, Risks and Policy challenges. EPTA Report 2023 (p. 88). Brussels. Retrieved from https://www.parlament.cat/document/composicio/394503200.pdf
  • ITA [Hrsg.],. (2022). Cultures of responsibility for AI start-ups (ITA Dossier No 65en (September 2022, Author: Tanja Sinozic, Steffen Bettin, Titus Udrea). Wien. doi:10.1553/ita-doss-065en
  • Riedlinger, D. (2022). Tanja Sinozic: "StartUps können bei KI auch Verantwortung kultivieren". Ita-Newsfeed. Retrieved from https://www.oeaw.ac.at/ita/detail/news/tanja-sinozic-start-ups-koennen-bei-ki-auch-verantwortung-kultivieren
  • ITA [Hrsg.],. (2022). Verantwortungskulturen für KI-Start-ups. ITA Dossier Nr. 65 (Juni 2022; Autor*innen: Tanja Sinozic, Steffen Bettin, Titus Udrea). Wien. doi:10.1553/ita-doss-065
  • Riedlinger, D. (2020). Künstliche Intelligenz: Teilweise hohes Risiko für Start-ups. Ita-Newsfeed. Retrieved from https://www.oeaw.ac.at/ita/detail/news/kuenstliche-intelligenz-teilweise-hohes-risiko-fuer-start-ups
  • Riedlinger, D. (2020). TA für Österreichische KI-Startups. Ita-Newsfeed. Retrieved from https://www.oeaw.ac.at/ita/projekte/kuenstliche-intelligenz-ta-in-oesterreichischen-ki-startups
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Conference Papers/Speeches

Conference Papers/Speeches

  • 10/05/2023 , Graz
    Tanja Sinozic-Martinez: 
    Exploring the routinisation of inclusion in an AI predictive analytics start-up
    STS-Konferenz
    Other Lecture
  • 26/07/2022 , Karlsruhe
    Steffen Bettin,  : 
    TA and AI firms: bridging the gap with new methods for the co-shaping of technical change
    ETAC5 - Digital Future(s), TA in and for a Changing World
    Named Lecture
  • 26/07/2022 , Karlsruhe
    Tanja Sinozic-Martinez,  Steffen Bettin,  : 
    TA and AI firms: bridging the gap with new methods for the co-shaping of technical change
    5th European Technology Assessment Conference
    Other Invited Lecture
  • 09/07/2021 , Hamburg (online)
    Tanja Sinozic-Martinez,  Steffen Bettin,  : 
    A Method for Responsibility in Innovation in AI Firm Start-ups
    CEPE/IACAP Joint Conference 2021: The Philosophy and Ethics of Artificial Intelligence
    Other Invited Lecture
  • 26/05/2021 , Wien
    Tanja Sinozic-Martinez: 
    Gesellschaftliche Folgen von künstlicher Intelligenz: Einblicke in die Entwicklung eines Tools zur Technikfolgen-Abschätzung für Start-up Unternehmen
    FORBA Fachgespräch
    Other Lecture
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Project Team

Duration

03/2020 - 07/2021

Funding

  • Titus Udrea
  • Tanja Sinozic-Martinez