Browsing by Author "Jones, Paul"

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    Data for the paper "A Straightforward Route to Sensory Device Selection for IoT Systems"
    (Cranfield University, 2018-07-31 11:15) Jones, Paul; Lonne, Quentin; De Almeida Talaia, Pedro; Leighton, Glenn; Botte, Gerardine G.; Mutnuri, Srikanth; Williams, Leon
    Paper abstract: The Internet of Things allows for remote management and monitoring of many aspects of everyday life at the individual and industrial levels. However, designing these systems within constraints of cost and operational context can be a real challenge. The sensor network must be strategically designed, which means selecting the most appropriate sensors to collect a specific measurement in a specific environment and then optimizing their deployment and utilization. To facilitate sensor selection, we propose a straightforward, color-coded, three-sieve selection tool and demonstrate the efficacy of this method through real-life exemplars. The selection tool could be applied to other kinds of technologies, as well.
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    ItemOpen Access
    Mapping the ethic-theoretical foundations of artificial intelligence research
    (Wiley, 2024-02-06) White, Gareth R. T.; Samuel, Anthony; Jones, Paul; Madhavan, Naveen; Afolayan, Ademola; Abdullah, Ahmed; Kaushik, Tanmay
    The issue of artificial intelligence (AI) ethics is a prominent research subject. While there is a compendious literature that explores this area, surprisingly little of it makes explicit reference to the ethic-theoretical foundations upon which it is built. To address this matter, this study makes an examination of the AI ethics literature to identify its ethic-theoretical foundations. The study identifies the lack of AI ethics literature that draws upon seminal ethics works and the ensuing disconnectedness among the publications on this subject. It also uncovers numerous non-Western ethic-theoretical positions that can be adopted and may afford new insight into AI ethics research and practice. Employing these alternative lenses may obviate the tendency for Western worldviews to dominate the academic literature. The study provides some guidance for future AI ethics research which should endeavor to clearly articulate its chosen ethic-theoretical position, and for practice which could benefit from understanding and articulating the principles upon which AI systems are founded. It also provides some observations of, and guidance for, the utilization of Litmaps software in the conduct of Literature reviews.