Theses and Dissertations
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- Creators: Barrett, The Honors College
Artificial Intelligence’s facial recognition programs are inherently racially biased. The programs are not necessarily created with the intent to disproportionately impact marginalized communities, but through their data mining process of learning, they can become biased as the data they use may train them to think in a biased manner. Biased data is difficult to spot as the programming field is homogeneous and this issue reflects underlying societal biases. Facial recognition programs do not identify minorities at the same rate as their Caucasian counterparts leading to false positives in identifications and an increase of run-ins with the law. AI does not have the ability to role-reverse judge as a human does and therefore its use should be limited until a more equitable program is developed and thoroughly tested.
Women’s roles in society have changed significantly throughout the years. The movement to support the rights of women has been ongoing throughout the evolution of society but has been especially prevalent in the last century. The 1960s are when women began to enter the workforce instead of being limited to presuming roles as homemakers. Since that point in time, women have continued to thrive in the workforce and have pursued a larger variety of positions in various fields. Even though the opportunities for women continue to grow, there still seems to be an underrepresentation of women in science, technology, engineering, and mathematics (STEM) related fields. The underrepresentation of women pursuing physician and entrepreneurship roles in STEM will be analyzed and the challenges this group of people specifically encounter will be examined. Our first proposal to encourage women to enter STEM focuses on middle-school initiatives and incubator programs. The second proposal, based on commonalities females face within the workforce, is finding a better work/home life balance with the development of new maternity/paternity leave policies. Through these initiatives, we believe that the gender gap in STEM can be bridged.
Women’s roles in society have changed significantly throughout the years. The movement to support the rights of women has been ongoing throughout the evolution of society but has been especially prevalent in the last century. The 1960s are when women began to enter the workforce instead of being limited to presuming roles as homemakers. Since that point in time, women have continued to thrive in the workforce and have pursued a larger variety of positions in various fields. Even though the opportunities for women continue to grow, there still seems to be an underrepresentation of women in science, technology, engineering, and mathematics (STEM) related fields. The underrepresentation of women pursuing physician and entrepreneurship roles in STEM will be analyzed and the challenges this group of people specifically encounter will be examined. Our first proposal to encourage women to enter STEM focuses on middle-school initiatives and incubator programs. The second proposal, based on commonalities females face within the workforce, is finding a better work/home life balance with the development of new maternity/paternity leave policies. Through these initiatives, we believe that the gender gap in STEM can be bridged.
It's a book about two people from two very different cultures, but have a shared experience growing up. Atinuke is a Nigerian girl who grew up in well-to-do home, but lived with an abusive father. Noah, on the other hand, is a white American boy who also grew up in a model home with very rich parents and a long line of rich ancestors. However, his parents are not on talking terms, his mother is dependent on him for her happiness and he has no relationship with his father. Once the two protagonists break away from their respective prisons, they meet, they learn from each other and they develop a bond.
Through research from case studies and professional interviews, it can be shown that those who fail and become victim to the e-commerce giants are those who do not allocate enough budget and resources to allow e-commerce to succeed; they do not correctly utilize data throughout the creation of their e-commerce site nor their marketing, have a vast lack of knowledge, and ultimately do not adapt to trends in e-commerce.
E-commerce giants are those who lead in the world-wide e-commerce revolution. They have entered a market and have caused/are continuing to cause instability for those who have not adapted or changed. These e-commerce giants do not have to be “giant” in size; rather, they are making giant changes that allow them to be successful within the industry. They are the prime examples of how e-commerce and data-driven marketing can be successful.
My research shows in order to successfully practice e-commerce, companies must adapt the best practices shown by these giants: owning your data, developing a strong budget for data-driven marketing, investing in the technology and people needed to implement a sound strategy, training employees in basic data, utilizing data in all aspects of marketing, creating an easy online experience that using AB Testing, hosting post mortem meetings to identify successes and failures, understanding your customers, creating the appropriate customer segmentation, nixing the “one fits all” strategy, and never getting too comfortable. If a company is stagnant, they are behind.
social commentators have contributed to this essential inquiry: what is Beauty? And
furthermore, are there objective patterns within what different people consider beautiful? I will
explore this through both the lenses of physical beauty and character beauty. In faces, there is the study of physical attractiveness - is it evolutionary, personal preference, or something more universal?
By using the four concepts of judgement of beauty laid out by Kant, supplemented with psychological research on humans' attractiveness ratings of faces, we will be able to get closer to the idea of a truly beautiful face. This face, striking in nature, is not simply attractive, but more. It is a face that is, using Kant's framework, disinterested, universal, purposive without purpose, and necessary.