Analyzing Flaws in Educational Robots for Determining Alignment With IEEE Global

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dc.contributor.authorAli, Abdikadar
dc.contributor.authorThaxton, Danielle
dc.date.accessioned2021-10-22T14:04:13Z
dc.date.available2021-10-22T14:04:13Z
dc.date.created2020
dc.description2020 Celebration of Student Research and Creativity presentationen_US
dc.description.abstract"The last couple of years have seen a strong movement supporting the need of having ethically aligned trustworthy artificial intelligence (AI) within intelligent system-based consumer products, including autonomous cars and robots. This global movement has led to multiple institutional recommendations towards ethical alignment and trustworthy design in AI based autonomous systems and intelligent consumer devices. The IEEE global standards on the design of ethically aligned, trustworthy AI includes a list of guideline principles in this regard. There has been prior research towards finding design flaws and vulnerabilities within various types of consumer robots. However, none of these previous works have studied whether discovering design flaws and security or privacy issues in these robots can help assess their alignment with these IEEE benchmark requirements for trustworthiness and ethical alignment. In attempt to address this gap in existing literature, we have performed a unique experimental study of two educational robots - Zümi and Cozmo. We have found specific vulnerabilities and design weaknesses in these robots within their system functionalities. Our initial research shows that these flaws can lead to hacking, injection attacks, and other robotic malfunctions that might affect the technology users negatively. We conduct a preliminary analysis of how these design flaws can be potentially non- compliant with the IEEE principles for ethically aligned, trustworthy AI. We demonstrate a novel case study of how discovery of design flaws in educational robots can assist in assessing whether their designs align with the new IEEE standards plus principles for robot ethics & trust."en_US
dc.description.urihttps://youtu.be/P7rMYaaSEvEen_US
dc.identifier.urihttp://hdl.handle.net/11216/4013
dc.language.isoen_USen_US
dc.publisherNorthern Kentucky Universityen_US
dc.relation.ispartofseriesCelebration of Student Research and Creativity;2020
dc.subjectAutonomous robotsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectDesign and technologyen_US
dc.subjectInstitute of Electrical and Electronics Engineersen_US
dc.titleAnalyzing Flaws in Educational Robots for Determining Alignment With IEEE Globalen_US
dc.typePresentationen_US

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