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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Implenting a Systematic Gibbs Sampler Method to Explore Probability Bias in AI Agents

Bisht, Charu January 2024 (has links)
In an era increasingly shaped by artificial intelligence (AI), the necessity for unbiased decision-making from AI systems intensifies. Recognizing the inherent biases in humandecision-making is evident through various psychological theories. Prospect Theory, prominently featured among them, utilizes a probability weighing function (PWF) to gain insights into human decision processes. This observation prompts an intriguing question: Can this framework be extended to comprehend AI decision-making? This study employs a systematic Gibbs sampler method to measure probability weighing function of AI and validate this methodology against a dataset comprising 1 million distinct AI decision strategies. Subsequently, exemplification of its application on Recurrent Neural Networks (RNN) and Artificial Neural Networks (ANN) is seen. This allows us to discern the nuanced shapes of the Probability Weighting Functions (PWFs) inherent in ANN and RNN, thereby facilitating informed speculation on the potential presence of “probability bias” within AI. In conclusion, this research serves as a foundational step in the exploration of "probability bias" in AI decision-making. The demonstrated reliability of the systematic Gibbs sampler method significantly contributes to ongoing research, primarily by enabling the extraction of Probability Weighting Functions (PWFs). The emphasis here lies in laying the groundwork –obtaining the PWFs from AI decision processes. The subsequent phases, involving in-depth understanding and deductive conclusions about the implications of these PWFs, fall outside the current scope of this study. With the ability to discern the shapes of PWFs for AI, this research paves the way for future investigations and various tests to unravel the deeper meaning of probability bias in AI decision-making.
12

CSR inom mejeri- och klädbranschen : En kvantitativ studie om konsumenters åsikter kring CSR inom två olika branscher / CSR for the dairy- and clothing industry : A quantitative study on consumer opinions about CSR in two different industries

Grönlund, David, Hirsch Rabe, Johan January 2019 (has links)
Implementation av ett CSR-engagemang innebär stora ekonomiska påfrestelser på ett företag vilket kan visa sig vara problematiskt för företag då konsumenterna uppger att de är villiga att överväga CSR men när det gäller verklig konsumtion är det få konsumenter som tar hänsyn till CSR. Syftet med denna uppsats är därför att kartlägga åsikterna om företags CSR inom mejeribranschen och klädbranschen hos konsumenter i Stockholm län. Frågeställningarna för denna uppsats är “anser svenska konsumenter att det är viktigt med CSR inom mejeribranschen respektive klädbranschen??” samt “vilka CSR-faktorer anser svenska konsumenter påverkar deras köp mest inom mejeribranschen respektive klädbranschen?”. Arbetet i studien är grundat i en kvantitativ undersökning där 307 respondenter deltog i en enkätundersökning. För att studera resultatet av enkätundersökningen har arbetet utgått ifrån teorier inom CSR och konsumentbeteende. Utifrån resultatet kan man konstatera att respondenterna anser att det är viktigare med CSR inom mejeribranschen än inom klädbranschen samt att de faktorer som respondenterna anser påverkar deras köp mest är smak eller utseende, beroende på branschen. En slutsats som kan dras utifrån resultatet är att CSR är viktigare för kvinnor än för män inom respektive bransch, samt att konsumenterna inte anser att CSR faktorer är det som har störst påverkan på deras köp inom respektive bransch. Slutligen kan slutsatsen om att respondenterna anser att CSR faktorer har större påverkan på deras köp inom mejeribranschen än i klädbranschen, bortsett från arbetsförhållanden som anses påverka mer inom klädbranschen. / Implementation of a CSR engagement involves major financial strain on a company, which may prove problematic for companies, as consumers state that they are willing to consider CSR, but when it comes to real consumption, few consumers take CSR into consideration. The purpose of this paper is therefore to map out the opinions about the corporate social responsibility regarding the industries of both clothing and dairy products for the consumers in the Stockholm area. The research questions that were examined was “do Swedish consumers consider CSR to be important in the dairy industry and the clothing industry?” and "which CSR factors do Swedish consumers consider to affect their purchases most in the dairy industry and the clothing industry?". The research has a quantitative base with a survey with 307 respondents. In order to study the result of the survey the use of different theories has been implemented for example CSR, Green Marketing and Consumer Behaviour. The result shows that the respondents think that CSR is more important in the dairy industry than the clothing industry, as well as the most important factor in their purchase is the taste or looks of the product, depending on the industry. Another conclusion is that CSR is more important for women than for men in both industries. Furthermore, consumers don't think that CSR factors is what has the greatest impact on their purchases within each industry. Lastly is that the respondents consider CSR factors to have a greater impact on their purchases in the dairy industry than in the clothing industry, apart from working conditions which are considered to affect more in the clothing industry.

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