In December 2015, the United States' Secretary of Defense, Ash Carter, issued a directive that each branch of military avail every position to women (Pellerin, 2015). Given this and the dearth of literature on women's leader development in military environments, it was imperative to research if and how these environments shape and influence leadership development among college aged women. Specifically, this study sought to reveal women's view of self as leader in the context of a military training environment at a senior military college. The Leadership Identity Development (LID) model developed by Komives, Owen, Longerbeam, Mainella, and Osteen (2005) served as a framework for this study that utilized constructivist grounded theory methods for data collection and analysis as described by Charmaz (2014). The participants in this study were 21 college students who identified as women participating in a 24-hour military training program between the ages of 19 to 23 and agreed to participate in individual face-to-face interviews. Through interviews and analysis of the data, eight themes emerged from the women's experiences that revealed how they developed as leaders in the environment, and conditions that both promoted and inhibited their leader development. These themes are leadership defined, internal dialogue, strategies for managing influences, practicing leadership, context for learning leadership, external influences, internal influences, and experiences. These findings have implications for future research and practice. / Doctor of Philosophy / It is important to understand how college aged women develop a leadership identity in a military training environment that has historically been male-dominated. This study sought to better understand the experiences of 21 women who learned leadership in a military training environment that was a 24-hour live in experience on a campus of higher education. The women agreed to meet for a face-to-face interview that lasted approximately one hour to share their experiences. Constructivist grounded theory methods for data collection and analysis (Charmaz, 2014) were utilized in this study, and the Leadership Identity Development (LID) model developed by Komives, Owen, Longerbeam, Mainella, and Osteen (2005) served as a framework. I share the findings of this study and implications for future research and practice.

Artificiell intelligens är ett fenomen som bara blir större och större i världen och i Sverige. Teknologin börjar bli allt vanligare för att bilar ska kunna köra sig själva, med andra ord självkörande bilar. I dagsläget har Sverige ingen lagstiftning för helt självkörande bilar i Sverige. Genom en kvantitativ undersökning har allmänhetens inställning och godkännande av fenomenet i Sverige undersökts. Vidare har studien undersökt vem den svenska befolkningen anser borde stå till svars i bilolyckor med självkörande bilar. Författarna kunde konstatera att lagstiftningen ligger efter tekniken och för att de helt självstyrande bilarna ska kunna implementeras i Sverige borde det ske en förändring i lagstiftningen för att bemöta den allmänna uppfattningen kring självkörande bilar i Sverige. Studiens resultat kom fram till att en ändring av den gällande lagstiftningen borde bli aktuell där lagen gynnar människor samt företagen bakom tekniken, inte bara som det är nu att lagen enbart gynnar biltillverkarna då de inte har något ansvar vid bilolyckor med halvt självkörande bilar. För att människor ska känna tillit till tekniken behövs det en större kunskap kring fenomenet. Detta skulle biltillverkarna kunna fixa genom att låta användaren av bilen ha en större vetskap över till exempel den data som företagen samlar in samt vad den används till. / Artificial intelligence is a phenomenon that is only getting bigger and bigger in the world and in Sweden. The technology is becoming increasingly common for cars to be able to drive themselves, in other words self-driving cars. Sweden currently has no legislation for fully self-driving cars in Sweden. Through a quantitative survey, the public's attitude and acceptance of the phenomenon in Sweden has been examined. Furthermore, the study investigated who the Swedish population believes should be held accountable in car accidents with self-driving cars. The authors were able to state that the legislation lags behind the technology and in order for fully self-driving cars to be implemented in Sweden, there should be a change in the legislation to meet the general perception of self-driving cars in Sweden. The results of the study came to the conclusion that a change in the current legislation should be relevant where the law benefits people as well as the companies behind the technology, not just as it is now that the law only benefits the car manufacturers as they have no responsibility in car accidents with semi-autonomous cars. In order for people to trust the technology, a greater knowledge of the phenomenon is needed. The car manufacturers could fix this by letting the user of the car have greater knowledge of, for example, the data that the companies collect and what it is used for.