The diploma thesis deals with the sources of trust in artificial intelligence, and how these sources are conditioned by social representations. It examines what risks the user is aware of when using artificial intelligence and how various factors affect the user's thinking. Artificial intelligence is represented in my work by intelligent virtual assistants (IVA). Based on semi-structured research interviews with their users, I have identified as the main sources of trust: neutrality, belief in the future, fulfillment of expectations and closeness. The first two sources are constant and based on social structure, while the last two sources of trust are based directly on user experience and are variable over time. It was also found that social representations have a significant impact on sources of trust. I divided all social representations into three categories - mechanicality, personification, intangibility, according to which the user's perception of artificial intelligence could be assessed and, based on that, his thinking about it. Because of this, I have proved that the trust of users is conditioned by social representations. An important part of trust is risk awareness. In my work, I have identified six main risks that users are aware of: unexpected software error, mechanical error, misuse of...
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:438086 |
| Date | January 2021 |
| Creators | Janouš, Jakub |
| Contributors | Numerato, Dino, Kabele, Jiří |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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