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We Are All Data Now


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dc.contributorAli Krzton, alk0043@auburn.eduen_US
dc.creatorKrzton, Ali
dc.date.accessioned2024-01-19T20:45:35Z
dc.date.available2024-01-19T20:45:35Z
dc.date.created2023-08
dc.identifier.urihttps://aurora.auburn.edu/handle/11200/50627
dc.identifier.urihttp://dx.doi.org/10.35099/aurora-695
dc.description.abstractAn abiding concern for the responsible use of data is nothing new for those of us among the ranks of data professionals. Whether from the perspective of research, education, commerce, or policy, careful consideration of data ethics is an important aspect of our work. The recent increase in the accessibility and prevalence of “generative AI” technology adds a new dimension to the digital landscape and a new level of difficulty for would-be facilitators of information literacy. Briefly, generative AI uses complex, impenetrable statistical models to produce novel combinations of text or images in response to user prompts. The best-known example may be ChatGPT, which can in mere seconds write a poem in the style of Edgar Allen Poe, a tailored marketing pitch, or a research paper that may or may not be accurate. What does this mean for us?en_US
dc.formatPDFen_US
dc.publisherResearch Data Access and Preservationen_US
dc.relation.ispartofRDAP Happeningsen_US
dc.rightsCC-BYen_US
dc.subjectartificial intelligenceen_US
dc.subjectChatGPTen_US
dc.subjectintellectual propertyen_US
dc.subjectcreativityen_US
dc.titleWe Are All Data Nowen_US
dc.typeTexten_US
dc.type.genreOtheren_US
dc.citation.volume2023en_US
dc.citation.issue3en_US
dc.citation.spage4en_US
dc.citation.epage6en_US
dc.description.peerreviewNoen_US
dc.creator.alternateKrzton, Alicia
dc.creator.orcid0000-0001-9979-2471en_US

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