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    264 research outputs found

    Does it (morally) matter whether the AI machine is conscious?

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    Epistemology and Algo-reliabilism: A Pathway to Sound Ethical Artificial Intelligence

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    Do Children Dream of Connected Watches? How the connected citizens experience the world

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    As our society relies increasingly on artificial intelligence in day-to-day life, we have very limited knowledge and control of its uses and consequences on our representations, values, behaviors, lifestyles, etc. However, it deeply affects and shapes our relationship to the world: how we interact with others and our environment (e.g. smart devices that we wear or have installed in our home), how we perceive space and time, what control we have on our sleep, health, etc. Since AI designs and uses are developed by companies mainly economically motivated, the examination of the conceptual, anthropological, and moral impacts of the emergent experiences to which our interactions with AI contribute to generally overlooked. There is an urgent need to study these issues in order re-invest in the citizens the possibility to decide in which society they want to live, what values should be promoted, what relationships to the others and the environment should be favored. In this paper, I study the power relations between humans and connected objects

    Smart Machines and Wise Guys: Can Intelligent Machines be Wise?

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    Deepfakes, Public Announcements, and Political Mobilization

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    On the Possibility of Moral Machines: A Reply to Robert Sparrow

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    Ethical and governance considerations for genomic data sharing in the development of medical technologies for melanoma - The iToBoS Project.

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    Balancing the risks and benefits of using genomics data in health service provision is a complex task. Social, ethical, and legal considerations are nuanced, often complicated by the fact that regulations lag behind rapid pace of technological development. Ethical considerations such as autonomy, beneficence, and non-maleficence are weighed against (and within) complex concepts such as privacy, security, safety, and proportionality. This paper will discuss European H2020 funded project IToBoS[1], in which an AI diagnostic platform for the early detection of melanoma is being developed. Assuring the project\u27s solutions are produced in an ethically and socially responsible manner, with regulatory compliance at their core, is one of the project\u27s primary goals. This paper will communicate the existing tensions within the health sector, including between the European Commission’s desire for open-data – governed through its proposed Digital Strategy and practically achieved through the creation of a European Health Data Space[2] – and the risks inherent with the generalised sharing of genomics (and other health related) data.   [1] This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement  No. 965221. More information may be found at: https://itobos.eu/ [2] https://health.ec.europa.eu/ehealth-digital-health-and-care/european-health-data-space_e

    A Labor History of Health Records: On Medical Scribes and the Ethics of Automation

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    This paper explores the human labor demands that underpin the utility of patient health records. I examine where these labor demands originated historically, and I consider how they might evolve, given the recent rise of artificial intelligence (AI) being developed to automate the collection and categorization of patient health information. Using a sociotechnical framework, the paper identifies a complicated paradox: the labor of medical scribes has become crucial for the benefits of electronic health records (EHR) to be realized; simultaneously, scribe work has been regarded in medical literature as inconspicuous and transitory, a stopgap measure wholly replaceable by a more efficient solution. The paper thus critically interrogates the premise that automation can replicate and replace scribe labor, and it examines the ethics of moving toward a fuller reliance on AI

    An Examination of Doctors’ Attitude Toward Medical AI: Turkey Sample

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    Improving AI-mediated Hate Speech Detection: A Genuine Ethical Dilemma

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    AI-mediated hate speech detection is indispensable for contemporary communication platforms. But it has known deficiencies in terms of bias and context-awareness. I argue that improving on these known deficiencies leads into a genuine ethical dilemma: It will increase the epistemic and social utility of these platforms, while also helping bad faith political and corporate actors to suppress unwelcome speech more swiftly and efficiently

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