Maria Lucia Miotto Master Thesis Abstract in English Although more and more works are showing convergence between the many documents regarding the ethics of artificial intelligence, none of them has tried to explain the reasons for this convergence. The thesis here proposed is that the diffusion of these principles is due to the underlying action of an epistemic community that has promoted the spread and the adoption of these values. Then, through network analysis, this thesis describes the AI ethics epistemic community and its methods of value diffusion, testing for the most effective. Then, to test the first result, two case studies, representative of political opposites, the United States and the People Republic of China have been analysed to see which method of diffusion has worked the most. What seems evident is that scientific conferences remain a primary factor in the transmission of knowledge. However, particular attention must also be given to the role played by universities and research labs (also those of big tech-companies) because they have revealed to be great aggregators for the epistemic community and are increasing their centrality in the network.

Cílem této diplomové práce je představení zcela nového způsobu vytváření i distribuování zpráv a obsahu, kdy se do tohoto jinak tradičně "lidského odvětví" začínají v poslední době promítat automatizované a chytré počítačové systémy využívající umělou inteligenci. Hodlám vysvětlit, co tento pojem znamená s ohledem na mediální prostor, představit jeho poměrně krátkou historii a popsat, jak dochází k jeho zavádění v žurnalistické praxi. Jelikož se jedná o stále vyvíjející se část možná budoucí novinářské práce, která je zatím v začátcích, nepracují s ní zatím ve větším tuzemská média, i když postupně začínají experimentovat například se strojovou žurnalistikou, tedy předstupněm plně automatizované umělé inteligence. Výzkum je proto zaměřen na vývoj a používání umělé inteligence tiskovými agenturami Reuters a AP, které s těmito nástroji už začaly pracovat a na jejichž případu hodlám ukázat možný budoucí nástup i praxi. V závěru zhodnotím největší výhody i nejdiskutovanější etické problémy fungování umělé inteligence v žurnalistice.

<p dir="ltr">Artificial Intelligence (AI) is anticipated to exert a considerable impact on the global Gross Domestic Product (GDP), with projections estimating a contribution of 13 trillion dollars by the year 2030 (IEEE Board of Directors, 2019). In light of this influence on economic, societal, and intellectual realms, it is imperative for Policy Makers to acquaint themselves with the ongoing developments and consequential impacts of AI. The exigency of their preparedness lies in the potential for AI to evolve in unpredicted directions should proactive measures not be promptly instituted.</p><p dir="ltr">This paper endeavors to address a pivotal research question: " Do United States Policy Makers have a sufficient knowledgebase to understand Responsible AI in relation to Machine Learning to pass Artificial Intelligence legislation; and if they do not, how should a pedological instructional framework be created to give them the necessary knowledge?" The pursuit of answers to this question unfolded through the systematic review, gap analysis, and formulation of an instructional framework specifically tailored to elucidate the intricacies of Machine Learning. The findings of this study underscore the imperative for policymakers to undergo educational initiatives in the realm of artificial intelligence. Such educational interventions are deemed essential to empower policymakers with the requisite understanding for formulating effective regulatory frameworks that ensure the development of Responsible AI. The ethical dimensions inherent in this technological landscape warrant consideration, and policymakers must be equipped with the necessary cognitive tools to navigate these ethical quandaries adeptly.</p><p dir="ltr">In response to this exigency, the present study has undertaken the design and development of an instructional framework. This framework is conceived as a strategic intervention to address the evident cognitive gap existing among policymakers concerning the nuances of AI. By imparting an understanding of AI-related concepts, the framework aspires to cultivate a more informed and discerning governance ethos among policymakers, thus contributing to the responsible and ethical deployment of AI technologies.</p>