<p>Diabetes is a prevalent disease nowadays, and it is a big challenge, especially for seniors. The biggest challenge for seniors with diabetes is that they need to prick their fingers to test their blood which is painful and horrible. Also, the current glucose meter does not make good use of the glucose data to help them better treat the diabetes. Also, seniors live alone and lag off behind the diabetes information & technology. Therefore, based on seniors’ characteristics, I want to employ new technologies, such as data visualization and AI technology, in the design to help them manage their diabetes more easily. </p> <p><br></p> <p>Through the literature review, I learned the disease information of diabetes, investigated the diabetes situation in the seniors’ group, and studied the seniors’ characteristics, which can make the designs more suitable for seniors. To better understand diabetic seniors’ conditions, needs and wishes, I took part in several diabetes events in Lafayette Indiana, volunteered in the retirement village and conducted a series of interviews in these two settings. By analyzing the peer products, daily self-measurement of my own sugar level and keeping diaries, I learned what do the similar products look like, got some inspiration from them and found problems in the current products. After drawing a bunch of sketches to explore the idea, HTA chart, wireframe, low-fidelity prototype and mockups were developed in the first design iteration. I came up with the smart product system, based on the seniors’ characteristics, combined with new technologies to help seniors with diabetes easily manage their diabetes. Then I conducted the usability testing with the prototype & physical models to refine my design. Finally, usability testing was conducted again to make sure my products provide a pleasant experience for seniors with diabetes. With this smart system, testing blood becomes a happy & relaxing experience and seniors can join the diabetes group to support each other. Moreover, Seniors with diabetes can get feedback and suggestions from the system. </p>

The rapid development of artificial intelligence (AI) has led to significant changes in the business environment and academic discussions. AI boosts productivity and positively impacts the competitive advantage of organisations. However, it also has its dark sides, such as prejudice, non-transparent processes, and people's fears that AI will be able to take their jobs in the future. The successful implementation of AI in organisations depends on several factors, including geopolitical, cultural, ecosystem, organisational, and individual factors. Geopolitical context and cultural differences can play an important role in the adoption and implementation of AI in organisations. This study examines the influence of geopolitical and cultural contexts on the decision-making process for the adoption and implementation of AI by managers from the fashion retail industry in Sweden and India. Given the extensive scope of these contexts, the authors narrowed their focus on specific factors. In the cultural context, the authors consider selected dimensions of the GLOBE project that reflect national culture. Within the Geopolitical context, particular attention is given to aspects such as data access and control, as well as the regulatory framework. In the course of this study, semi-structured interviews were conducted, and additional secondary data was studied. The study showed that the specifics of data access and control, as well as governmental legislative regulation, directly affect the decision-making process regarding the adoption and implementation of AI. As for the cultural context, here the degree of influence is heterogeneous, and decision-making on the implementation of AI is not always subject to the direct influence of the national cultural factors.

Through an experimental theatre play, this thesis explores the development of human-like agency in contemporary “social robot” technology. The entrance point of this study is the gender gap and lack of diversity in contemporary AI/robot development, with an emerging need for interdisciplinary research across robot technology and social sciences. Using feminist technoscience and critical posthumanism as the theoretical framework, this research involves an analysis of a particular social robot case, currently being developed at Furhat Robotics in Stockholm. Inspired by Judy Wajcman (2004), I analyze how socially intelligent machines impact perceptions of human agency, body, gender, and identity within cultural contexts and through interaction. The first part of the empirical research is carried out in the robot-lab. The robot is then, in the second part, invited to perform as an actor in a theatre play. Entangled amidst the other players and audience members, a queered agency starts to reveal itself through human-machine “intra-action” and embodiment (Barad 2003). Human-like agency in machines is shown to be a complex matter, drawing the conclusion that human-beings are vulnerable to a myriad of entanglements and preconceptions that artificial intelligence potentially embodies.

Livsmedelsindustrin står inför stora utmaningar i framtiden, varav en är att erbjuda och producera livsmedel till en växande population på ett hållbart sätt. Ett sätt att övervinna denna utmaning är att implementera AI-teknik som kan användas för att effektivisera och främja hållbar utveckling inom livsmedelsindustrin. Syftet med studien är därför att kartlägga nivån av AI-readiness hos livsmedelsföretag i Norden, det vill säga undersöka hur redo dessa verksamheter är att implementera AI-teknik. Frågeställningen har besvarats genom en digital enkätundersökning baserat på det teoretiska ramverket TOE - Technology, Organization and Environment. Enkäten besvarades av 59 anonyma respondenter. Svaren kategoriserades baserat på det huvudsakliga verksamhetslandet för respondentens företag, den del av industrin företaget främst är verksamt inom och företagets storlek. Det insamlade datat har analyserats med hjälp av Chi2-test som resulterade i insikten att större företag har högre nivå av AI-readiness än små företag. Resultatet indikerade även på tre förbättringsområden för att öka nivån av AI-readiness. Företag bör i större utsträckning utveckla en strategisk plan för implementering av AI-teknik, säkerställa tillräckligt med mänskliga resurser med rätt kompetens och öka kunskapen om externa regleringar bland sina anställda. Den kunskap som studien genererar kan vara relevant för företag som arbetar med implementering av AI-teknik, för företag verksamma inom livsmedelsindustrin som vill öka sin AI-readiness samt för framtida forskning inom liknande områden. / The food industry faces major challenges in the future, one of which is to provide and produce food for a growing population in a sustainable way. One way to overcome this challenge is to implement AI-technologies that can be used to promote sustainable development in the food industry. The purpose of this study is therefore to map the level of AI-readiness among food companies in the Nordic region, specifically to investigate how ready these businesses are to implement AI-technology. The question has been answered through a digital survey based on the theoretical framework TOE - Technology, Organization and Environment. The survey was answered by 59 anonymous respondents. The answers were categorized based on the main country of operation of the respondent's company, the part of the industry the company is mainly active in and the size of the company. The collected data has been analyzed using Chi2-tests which resulted in the insight that larger companies have a higher level of AI-readiness than smaller companies. The result also indicated three areas of improvement to increase the level of AI-readiness. Companies should to a greater extent develop a strategic plan for the implementation of AI-technology, ensure sufficient human resources with the right skills and increase the knowledge of external regulations among their employees. The knowledge generated by the study can be relevant for companies working on the implementation of AI-technology, for companies operating in the food industry that want to increase their AI-readiness, and for future research in similar areas.

The topic of this thesis is AI recruitment chatbots, digital discrimination, and data feminism (D´Ignazio and F.Klein 2020), where I aim to critically analyze issues of bias in these types of human-machine interaction technologies. Coming from a professional background of theatre, performance art, and drama, I am curious to analyze how using AI and social robots as hiring tools entails a new type of “stage” (actor’s space), with a special emphasis on social acting. Humans are now required to adjust their performance and facial expressions in the search for, and approval of, a new job. I will use my “theatrical glasses” with an intersectional lens, and through a methodology of cultural analysis, reflect on various examples of conversational AI used in recruitment processes. The silver bullet syndrome is a term that points to a tendency to believe in a miraculous new technological tool that will “magically” solve human-related problems in a company or an organization. The captivating marketing message of the Swedish recruitment conversational AI tool – Tengai Unbiased – is the promise of a scientifically proven objective hiring tool, to solve the diversity problem for company management. But is it really free from bias? According to Karen Barad, agency is not an attribute, but the ongoing reconfiguration of the world influenced by what she terms intra-actions, a mutual constitution of entanglement between human and non-human agencies (2003:818). However, tech developers often disregard their entanglement of human-to-machine interferences which unfortunately generates unconscious bias. The thesis raises ethical questions of how algorithmic measurement of social competence risks holding unconscious biases, benefiting those already privileged or those acting within a normative spectrum.