| dc.description.abstract | ABSTRACT
This thesis examines the Norwegian Government's AI communication strategy, focusing on improving risk communication. It explores AI's influence on societal perceptions and Norway's technological advancements. The research assesses the government's approach to communicating AI risks, its impact on public awareness and understanding, and the effectiveness of this strategy. Key objectives include identifying AI-related vulnerabilities and offering recommendations for enhancing Norway's risk communication strategy. The problem statement is formulated as such: Analyzing how the Norwegian Government communicates risks and uncertainty in the context of Artificial Intelligence (AI).
The core objectives of the thesis include a thorough examination of Norway's AI communication strategy, understanding the opportunities and challenges posed by AI, and assessing the government's risk communication effectiveness. It aims to provide insights into the effectiveness of their strategy in addressing the heightened vulnerability and uncertainty associated with AI and how it contributes to public awareness and understanding.
A key aspect explored is the relationship between AI and risk science, focusing on concepts like risk, vulnerability, and uncertainty and their significance in shaping societal perceptions and implications of AI. The thesis delves into the cautionary and precautionary principles, highlighting their importance in risk communication. Emphasizing the precautionary principle is crucial as it guides the government in taking proactive measures, even when there is uncertainty, to ensure that potential risks are mitigated before they materialize. This approach is critical in the context of AI due to the rapid technological advancements. Furthermore, effective risk communication is essential in building public trust and understanding, enabling citizens to make informed decisions and engage meaningfully in discussions about AI's societal impact. The study also discusses the role of social amplification in risk perception. Moreover, the methodological approach of the thesis includes an exploratory, qualitative design using document analysis and literature review. It critically examines and interprets official governmental documents and academic literature to draw meaningful conclusions about AI's risk communication in Norway.
The study highlights the importance of effective risk communication in managing AI uncertainties, emphasizing trust, credibility, transparency, and openness. It praises Norway's responsible AI approach, integrating risk communication with ethical principles and public engagement. This strategy aims to position Norway as a leader in ethical AI use. The thesis contributes insights into how governments can communicate AI risks and uncertainties, promoting public awareness and participation in technology advancements. | |