23,182 research outputs found

    AI management an exploratory survey of the influence of GDPR and FAT principles

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    As organisations increasingly adopt AI technologies, a number of ethical issues arise. Much research focuses on algorithmic bias, but there are other important concerns arising from the new uses of data and the introduction of technologies which may impact individuals. This paper examines the interplay between AI, Data Protection and FAT (Fairness, Accountability and Transparency) principles. We review the potential impact of the GDPR and consider the importance of the management of AI adoption. A survey of data protection experts is presented, the initial analysis of which provides some early insights into the praxis of AI in operational contexts. The findings indicate that organisations are not fully compliant with the GDPR, and that there is limited understanding of the relevance of FAT principles as AI is introduced. Those organisations which demonstrate greater GDPR compliance are likely to take a more cautious, risk-based approach to the introduction of AI

    Lesbians and Transgenders in Japanese Media

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    Japanese GLBT appear to have always held a place in national media. From the the Edo period to the modern age, the Japanese people have constantly been exposed to different types of GLBT society, whether or not they realized it at the time. In this paper, I explore the representations of lesbians and transgenders during the Edo period (1600 to 1860) and in the modern and post-modern era (1868 to the present). I look at ukiyo-e from the Edo period and then Western-style theatre and newspaper stories from the modern era to grasp how lesbians have been portrayed through the years. Then I look at onnagata of Kabuki and modern-day new half in order to show how the concept of a transgender has changed over time in the media. Just how has the Japanese perspective changed after the mass introduction of Western culture and ideals during the Meiji period

    Diversity as an Orientalist Discourse

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    The goal of promoting diversity is deep-rooted in the post-civil rights activities of U.S. educational institutions. Universities across the country attempt to foster diversity by seeking a diverse student body, creating initiatives that promote diversity, institutionalizing committees and administrative positions with the sole purpose of overseeing diversity, and implementing curricular strategies to support academic diversity. The pursuit of diversity is so integral to the survival and attractiveness of college campuses that some universities even lie in order to appear diverse to potential students and public supporters. Such was the case of the University of Wisconsin, Madison whose officials digitally inserted the face of a black student into an image of white football fans in order to portray a diverse picture of the university\u27s student body. Etemonstrating that diversity is valued is a staple of any academically competitive US university

    Building better Sex Robots: Lessons from Feminist Pornography

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    How should we react to the development of sexbot technology? Taking their cue from anti-porn feminism, several academic critics lament the development of sexbot technology, arguing that it objectifies and subordinates women, is likely to promote misogynistic attitudes toward sex, and may need to be banned or restricted. In this chapter I argue for an alternative response. Taking my cue from the sex positive ‘feminist porn’ movement, I argue that the best response to the development of ‘bad’ sexbots is to make better ones. This will require changes to the content, process and context of sexbot development. Doing so will acknowledge the valuable role that technology can play in human sexuality, and allow us to challenge gendered norms and assumptions about male and female sexual desire. This will not be a panacea to the social problems that could arise from sexbot development, but it offers a more realistic and hopeful vision for the future of this technology in a pluralistic and progressive society

    Il Furioso, April 11, 2013

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    This is the concert program of the Il Furioso performance on Thursday, April 11, 2013 at 8:00 p.m., at the Boston University Concert Hall, 855 Commonwealth Avenue, Boston, Massachusetts. Works performed were Sonata Seconda, La Cesta by Giovanni Pandolfi Antonio Mealli, Preludio Decimo and Aria di Florenza by Girolamo Giovanni Kapsberger, Ricercata Ottava by Giovanni Bassano, Sonata Terza, La Melana by Giovanni Pandolfi Antonio Mealli, Corrente Seconda by Girolamo Giovanni Kapsberger, Ciaccona by Alessandro Piccinini, Sonata Quinta, La Clemente by Giovanni Pandolfi Antonio Mealli, Canzon Quinta detta Bellerofonte by Girolamo Frescobaldi, Ballo del Granduca by Jan Pieterszoon Sweelinck, Sonata No. 3 in G Minor by Francesco Barsanti, and Chaconne in G Minor by Tomaso Vitali. Digitization for Boston University Concert Programs was supported by the Boston University Humanities Library Endowed Fund

    POTs: Protective Optimization Technologies

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    Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers. Fairness frameworks do so, in part, by mapping these problems to a narrow definition and assuming the service providers can be trusted to deploy countermeasures. Not surprisingly, these decisions limit fairness frameworks' ability to capture a variety of harms caused by systems. We characterize fairness limitations using concepts from requirements engineering and from social sciences. We show that the focus on algorithms' inputs and outputs misses harms that arise from systems interacting with the world; that the focus on bias and discrimination omits broader harms on populations and their environments; and that relying on service providers excludes scenarios where they are not cooperative or intentionally adversarial. We propose Protective Optimization Technologies (POTs). POTs provide means for affected parties to address the negative impacts of systems in the environment, expanding avenues for political contestation. POTs intervene from outside the system, do not require service providers to cooperate, and can serve to correct, shift, or expose harms that systems impose on populations and their environments. We illustrate the potential and limitations of POTs in two case studies: countering road congestion caused by traffic-beating applications, and recalibrating credit scoring for loan applicants.Comment: Appears in Conference on Fairness, Accountability, and Transparency (FAT* 2020). Bogdan Kulynych and Rebekah Overdorf contributed equally to this work. Version v1/v2 by Seda G\"urses, Rebekah Overdorf, and Ero Balsa was presented at HotPETS 2018 and at PiMLAI 201

    The Santa Clara, 2018-09-20

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    https://scholarcommons.scu.edu/tsc/1073/thumbnail.jp

    Audit and AI: Can Artificial Intelligence Restore Public Trust?

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    Due to the fallout from a series of corporate fraud scandals in the late 2000s, the auditing world has lost much of the public trust that is very important to the profession. Much of the value of an audit opinion is determined by the trust the public places in the auditors behind the opinion. Without trust in the auditors, the audit opinion has very little value. The recent increase in the usage of artificial intelligence (AI) in many industries presents a solution to the problem of auditors. Increased usage of AI in the audit process has the potential to better meet public demand for an audit as well as restore public trust
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