This project is an experimentation and examination of contemporary computer vision and machine learning, with an emphasis on machine generated imagery and text, as well as object identification. In other words, this is a study of how computers and machines are learning to see and recognize the world. Computer vision is a kind of visual communication that we rarely think of as being designed. With an emphasis on written and visual research, this project aims to comprehend what exactly goes into the creation of machine generated imagery and artificial vision systems. I have spent the last couple of months looking through the lense of cameras, object identification apps and generative neural networks in order to try and understand how AI perceives reality. This resulted in a mixed media story about images and vision, told through the perspective of a fictional AI character. Visit ​www.maybe-probably.com​ to view the project.

Thesis describe theory behind neuroevolution. Then it describes both design and creation of simulated environment for autonomous agent and its training with library Neataptic in environments with various difficulty. Thesis also describes pro- cess of designing frontend for visualization of results and backend for faster training of agents. At the end it describes resulting agents and proposes enhancements to existing solution.

Indiana University-Purdue University Indianapolis (IUPUI) / The aim of the study is to assess the impact of robot service on hotel guest experiences. Application of technology in tourism and hospitality services is growing each day. Using robots in hospitality establishment is becoming more and more popular, mainly because it can help cut down the labor costs, increase efficiency and reduce human contacts. Very few studies, however, have been done on examining customer experience regarding robots used in the hotel. Social media sites such as TripAdvisor are popular platforms where people share their first-hand experiences. Hence, this study focuses on studying the reviews of robotic hotels. Using the software Leximancer, reviews were studied and categorized in different themes to understand if the presence of the robot would create positive or negative experience for customers. The sample of the study included total of 2383 reviews related to robotic hotels from TripAdvisor from January 2011 to October 2020. The findings highlighted the major themes as Room, Robot, Hotel and Staff and their relationship with the ratings. It also provided insights into the contribution of robot service to consumer’s hotel experiences. / 2021-12-01

Titel: Beredskap för AI implementering: En fallstudie om beredskapsfaktorer för AI implementeringar på svenska IT-företag Forskningsfråga: Vilka beredskapsfaktorer krävs för implementering av AI på svenska IT-företag? Syfte: Undersöka vilka beredskapsfaktorer svenska IT-företag behöver för att skapa en lyckad AI implementering. Genomförande: Studien genomfördes som en fallstudie. En litteraturstudie utfördes för att sammanfatta tillgänglig och relevant vetenskaplig forskning inom området och fungerade som forskningsöversikt till studien. Datainsamlingen bestod av åtta semistrukturerade intervjuer med respondenter från sju olika företag. Material från litteraturstudie jämförs med insamlade och bearbetade data från respondenterna för att kunna hitta likheter och skillnader för att på så sätt kunna besvara studiens frågeställning. Metod: Studien har en induktiv ansats med en kvalitativ inriktning som karaktäriseras av analytiska tolkningar utifrån litteratur och intervjuer. Resultat: Utifrån analysen, en jämförelse av tidigare litteratur och insamlade data, nåddes resultat i form av identifierade beredskapsfaktorer som företag borde prioritera för att lyckas med sin AI implementering. Beredskapsfaktorer som identifierats är data, kunskap, syfte, involvering av anställda, resurser samt etik.Slutsats: Studiens slutsats visar på att beredskapsfaktorerna som tagits fram kan hjälpa företag att bättre förbereda sig inför en AI implementering och därigenom också öka möjligheterna för att åstadkomma en lyckad AI implementering på svenska IT-företag. / Title: Readiness for AI Implementation: A case study on readiness factors for AI implementations in Swedish IT companies search Question: Which readiness factors are required for an implementation of AI in Swedish IT companies? Purpose: Investigate which readiness factors Swedish IT companies need to create a successful AI implementation. Implementation: The study was performed as a case study. A literature study was conducted to summarize available and relevant research in the research area and served as a research overview for the study. The data collection consisted of eight semistructured interviews with respondents from seven different IT companies. Data from the literature study were compared with data collected and processed from the respondents, in order to find similarities and differences to answer the study's research question. Method: The study had an inductive approach with a qualitative focus, characterized by analytical interpretations based on literature and interviews. Findings: Based on the analysis, a comparison of previous literature and collected data, readiness factors required for AI implementations were identified. Readiness factors identified were data, knowledge, purpose, employee involvement, resources and ethics of which companies should prioritize to succeed with their AI implementation. Conclusion: The conclusion of the study indicates that the readiness can help companies to better prepare for an AI implementation and thereby also increase the opportunities for achieving a successful AI implementation in Swedish IT companies.

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This thesis explores the perception and trustworthiness of the users towards artificial intelligence (AI) -generated content on social media platforms. The study employs the Technology Acceptance Model (TAM) and Framing Theory as theoretical frameworks to understand the factors influencing user attitudes and behaviours towards AI-generated content. The research explores three main areas: user trust in AI-generated content, the ability to differentiate between AI-generated and human-generated content and the ethical implications of AI-generated content use. The research employed an online survey with 100 participants to collect quantitative data on their experiences and perceptions of AI-generated content. The findings indicate a range of trust levels in AI-generated content, with a general trend towards cautious acceptance. The results also reveal a gap between the participants' perceived and actual abilities to distinguish between AI-generated content, underlining the need for improved media literacy and awareness initiatives. The thematic analysis of the respondent's opinions on the ethical implications of AI-generated content underscored concerns about misinformation, bias, and a perceived lack of human essence. The study connects these findings with the TAM and Framing Theory, suggesting that perceived usefulness and the framing of AI-generated content significantly impact user trust and acceptance. This research contributes to the ongoing discourse on AI in media and communications, underlining the need for a more nuanced understanding and responsible AI ecosystem development. It highlights the crucial role of public perception, awareness, and ethical considerations in shaping the future of AI-generated content on social media platforms

The recent developments in artificial intelligence have brought forth natural language models like ChatGPT, which exhibits abilities in tasks such as language translation, text generation, and interacting conversations. Notably, ChatGPT's ability to generate code has sparked debates regarding the role of artificial intelligence in software engineering and its potential to replace human programmers.  In this thesis, we conduct an experiment in which we prompt ChatGPT with common programming problems, in order to evaluate ChatGPT’s potential in replacing humans as programmers. Our study specifically focuses on code correctness, run-time performance, and memory usage. The objective of this thesis is to investigate the potential of ChatGPT in replacing humans as programmers. We achieved this by designing and conducting an experiment where we prompted ChatGPT with a set of 90 diverse programming problems in terms of types and difficulty levels.  Based on the results of our experiment, we have observed that ChatGPT is proficient in solving programming problems at lower and medium difficulty levels. However, its ability to produce correct code declines when prompted with harder problems. In terms of run-time and memory usage, ChatGPT demonstrated above-average results for problems at lower and medium difficulty levels, but its performance declined when faced with more challenging tasks.While ChatGPT falls shortly in fully replacing human programmers, it exhibits potential as programming assistant. Our study shed light onto current capabilities of ChatGPT and others chat-bots as code generating tools and can serve as a groundwork for future work in the area.

Artificial intelligence (AI) has the potential to transform various industries, including the creative industry [1]. The potential disruption is facilitated by technology-driven products, with these products it is increasingly important to keep user goals, behaviour and needs at the centre during the development and designing phase. Through a situated user study using online content analysis, a survey, and semi-structured interviews I describe the current role of AI tools in the video production industry, and I identify potential future tools that could benefit professional content creators. According to these professional content creators AI tools currently primarily serve a supportive role, enhancing efficiency and video quality while still requiring human input for storytelling and quality assurance. The professionals are increasingly integrating AI into their workflows to be more increase their value as creators. Drawing from a User-Centered Design (UCD) approach I highlight a discrepancy between user needs and research focus, suggesting that future AI tools should prioritize improving client communication, automating non-creative tasks in post-production, and making animation more accessible. As generative video AI continues to develop, ethical concerns surrounding gender and ethnicity bias continue to be an important aspect for future research to ensure equal representation in generated video content. / Artificiell intelligens (AI) har potential att förändra olika branscher, inklusive den kreativa industrin [1]. Den potentiella omvälvningen underlättas av teknikdrivna produkter, och med dessa produkter blir det allt viktigare att hålla användarnas mål, beteende och behov i centrum under utvecklings- och designfasen. Genom en situerad användarstudie med hjälp av innehållsanalys online, en enkät och semistrukturerade intervjuer beskriver jag den nuvarande rollen för AI-verktyg i videoproduktionsbranschen, och jag identifierar potentiella framtida verktyg som kan gynna professionella innehållsskapare. Enligt dessa professionella innehållsskapare har AI-verktyg för närvarande främst en stödjande roll och förbättrar effektiviteten och videokvaliteten samtidigt som det fortfarande krävs mänsklig input för storytelling och kvalitetssäkring. De professionella innehållsskaparna integrerar i allt högre grad AI i sina arbetsflöden för att öka sitt värde som kreatörer. Med utgångspunkt i en användarcentrerad design (UCD) belyser jag en diskrepans mellan användarnas behov och forskningsfokus, och föreslår att framtida AI-verktyg bör prioritera att förbättra kundkommunikationen, automatisera icke-kreativa uppgifter i efterproduktionen och göra animering mer tillgänglig. Eftersom generativ video-AI fortsätter att utvecklas, fortsätter etiska problem kring kön och etnicitet att vara en viktig aspekt för framtida forskning för att säkerställa lika representation i genererat videoinnehåll.

Denna studie handlar om hur HR-medarbetare inom olika sektorer upplever digitalisering av yrket. Vår önskan är att ge läsaren förståelse för vilken inställning HR-medarbetare har till digitalisering av yrken, hur digitaliseringen har påverkat deras arbetstillfredsställelse och arbetsmiljö, samt vilka risker och fördelar som finns. Studiens teoretiska referensram uppmärksammar teorier och begrepp som rör digitalisering,arbetstillfredsställelse, arbetsmiljö och attityd. Vi har använt oss av en kvalitativ ansats ochdet empiriska materialet har samlats in genom tio intervjuer med personer som har arbetat inom HR-branschen i minst fem år. Hälften av respondenterna arbetar inom den offentliga sektorn och resterande hälften arbetar inom den privata sektorn. Utifrån den teoretiska referensramen och den empiri som har samlats in är det genom vår analys möjligt att urskilja ett mönster som visar en generellt positiv attityd gentemot digitaliserat HR-arbete, med reservation för att inte digitalisera i onödan. Vår analys pekar också på att implementering av digitala lösningar kan verka som motivationsfaktorer i arbetet. Vår tolkning är även att de digitala lösningarna, i majoriteten av situationerna, påverkar HR-medarbetarnas arbetsmiljö positivt.

This report covers the subject and impact of utilizing artificial intelligence tools for image generation in the process for industrial design. By evaluating the tools available on the market at the time of writing the report establishes a toolbox of relevant tools to the design process. These tools are then used to restructure established design processes into a new process and set of guidelines that incorporate these tools as a central part of the design process. The report then covers the “test run” of this process by developing a concept product, which in this case is a camera for a specific brand. Finally, the report covers the implications and potential further developments needed in order to fully incorporate artificial intelligence in the design process, along with potential ethical implications of utilizing these tools to aid in the creation of commercial products.