Anderson, T. and Stawicka, E. (2022) Digital Trust and Artificial Intelligence: Ethical Standards and Risk. In: Paliszkiewicz, J., Cusumano, J. L. G. and Goluchowski, J. (eds.) Trust, Digital Business and Technology. Issues and Challenges. :. United States: Routledge. pp. 144-155.
| Item Type: | Book Section |
|---|---|
| Abstract: | Artificial intelligence (AI) will change many companies and industries. The pace of development of the use of AI in practice is influenced by lack of trust. Traditionally, trust was based on trust in family or friends, and in an extended form, organizations or professional groups. Stakeholder choices are based on human ethical standards and elements such as family, culture, religion, and communities. Creating a framework for using AI and risk management may seem complicated, but the process is similar to creating controls, rules, and processes that already exist for humans. The risks of AI technology depend on how it is used. However, it should be noted that the technology remains under human control. The aim of this study is to assess stakeholder confidence in AI depending on ethical standards and the degree of risk by presenting information and data from the literature and the results of the authors’ own research. AI has been found to cause embarrassment among some users. Only restrictive guidelines and a high level of ethical standards can change the attitudes of stakeholders toward creating trust in AI. |
| Creators: | Anderson, Theo and Stawicka, Ewa |
| Editors: | Paliszkiewicz, Joanna, Cusumano, José Luis Guerrero and Goluchowski, Jerzy |
| Publisher: | Routledge |
| Faculties, Divisions and Institutes: | Faculties > Faculty of Business & Law > International Strategy & Business |
| Date: | 30 September 2022 |
| Date Type: | Publication |
| Page Range: | pp. 144-155 |
| Title of Book: | Trust, Digital Business and Technology. Issues and Challenges. : |
| Place of Publication: | United States |
| Number of Pages: | 12 |
| Language: | English |
| ISBN: | 9781032210469 |
| DOI: | https://doi.org/10.4324/9781003266495-14 |
| Status: | Published / Disseminated |
| Refereed: | Yes |
| Related URLs: | |
| URI: | http://nectar.northampton.ac.uk/id/eprint/18907 |
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