This thesis aims to explore and gain an understanding of the current AI landscape within Swedish Cultural Heritage using purposive interviews with five cultural heritage institutions with ongoing AI projects. This study fills a knowledge gap in the practical implementation of AI at Swedish institutions in addition to the sustainable use of technologies for cultural heritage. The overarching discussion further includes related topics of ethical AI and long-term sustainability, framing it from a perspective of Information Practices and a socio-material entanglement. Findings show that AI technologies can play an important part in cultural heritage, with a range of practical applications if certain issues are overcome. Moreover, the utilisation of AI will increase. The study also indicates a need for regulations, digitisation efforts, and increased investments in resources to adopt the technologies into current practices sustainably. The conclusion highlights a need for the cultural heritage sector to converge and find collectively applicable solutions for implementing AI.

Digital preservation is a significant challenge for cultural heritage institutions and other repositories of digital information resources. Recognizing the critical role of metadata in any successful digital preservation strategy, the Preservation Metadata Implementation Strategies (PREMIS) has been extremely influential on providing a "core" set of preservation metadata elements that support the digital preservation process. However, there is no evidence, in the form of previous research, as to what factors explain and predict the level of adoption of PREMIS. This research focused on identifying factors that affect the adoption of PREMIS in cultural heritage institutions. This study employed a web-based survey to collect data from 123 participants in 20 country as well as a semi-structured, follow-up telephone interview with a smaller sample of the survey respondents. Roger's diffusion of innovation theory was used as a theoretical framework. The main constructs considered for the study were relative advantage, compatibility, complexity, trialability, observability, and institution readiness. The study yielded both qualitative and quantitative data, and analysis showed that all six factors influence the adoption of PREMIS in varying degrees. Results of a regression analysis of adoption level on the six factors showed a statistically significant relationship. The R2 value for the model was .528, which means that 52.8% of the variance in PREMIS adoption was explained by a combination of the six factors. Considering the complexity of issue, this study has important implications for future research on preservation metadata and provides recommendations for researchers and stakeholders engaged in metadata standards development efforts.