The two figures are the interesting parts:
Abstract: The Internet revolution in 1990, followed by the data-driven and information revolution, has transformed the world as we know it. Nowadays, what seam to be 10 to 20 years ago, a science fiction idea (i.e., machines dominating the world) is seen as possible. This revolution also brought a need for new regulatory practices where user trust and artificial Intelligence (AI) discourse has a central role. This work aims to clarify some misconceptions about user trust in AI discourse and fight the tendency to design vulnerable interactions that lead to further breaches of trust, both real and perceived. Findings illustrate the lack of clarity in understanding user trust and its effects on computer science, especially in measuring user trust characteristics. It argues for clarifying those notions to avoid possible trust gaps and misinterpretations in AI adoption and appropriation.
Latest posts by Ryan Watkins (see all)
- Using Digital Nudges To Enhance Collective Intelligence In Online Collaboration: Insights From Unexpected Outcomes. - March 15, 2024
- Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts - March 7, 2024
- Attraction effect in crowded decision spaces: exploring the impact of decoys in choices among numerous options - March 2, 2024