To strengthen trust in digital communication, it is essential to first cultivate a well-founded awareness of risk among users—providing a basis for informed and responsible decision-making in the digital sphere.
Furthermore, it is essential for service providers to meet the security expectations users place on the digital environment. Above all, it must be credibly conveyed to users that the data and information they transmit are protected and will not fall into the hands of unauthorized third parties.
In the context of artificial intelligence (AI), it is essential to ensure specific parameters that safeguard user security and, in turn, foster trust in AI technologies. Among these, transparency plays a pivotal role—not only in relation to the data used, but also with regard to the underlying algorithms and the overall system architecture.
Another trust-building factor in artificial intelligence relates to the anticipated consequences of AI-driven decisions. Given the limited impact of certain outcomes, it is hardly surprising that users are more inclined to trust AI processes when receiving film or music recommendations than in corporate recruiting scenarios—where flawed decisions can lead to far-reaching consequences.
To foster safe engagement with artificial intelligence in the future, it is advisable to begin by adopting AI systems whose decisions entail minimal consequences for users.
In addition to artificial intelligence, cloud solutions constitute a significant component of today’s digital communication. In the case of cloud technologies, particular emphasis is placed on their defining characteristics. performance and transparency a decisive role in gaining users' trust. As performance the term "performance" is used to define the cloud’s reliability, whereas the term transparency transparency refers to the traceability of the cloud’s technical and organizational processes. Given that cloud solutions are delivered via the internet, trust in the cloud largely depends on users’ trust in the internet service itself
Due to the storage of user data in locations unknown to the users, the traceability of cloud technology is significantly limited for service users. Consequently, cloud solutions rely solely on user trust—users must depend on the assumption that their data is handled confidentially and that their privacy is respected and protected. In addition to the limited transparency of processes, cloud services also pose potential security risks due to the numerous additional technical systems required for their implementation. A commonly accepted rule of thumb suggests that wherever multiple systems interact, the likelihood of security vulnerabilities increases.
In summary, we would like to emphasize that trust is much like the air we breathe—we only become aware of it when it is lacking or compromised.
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