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3 Sources of Ethical Challenges and Societal Concerns for Computing Research
Pages 29-71

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From page 29...
... Their in-depth knowledge of their research also places them in a unique position to inform the public and advise government on such facets of these methods and artifacts as their intended situations of use, scope of validation, and limitations. Computing research itself is embedded in a range of social contexts: the university or research organization in which it is being carried out; the organization funding the research; and the society in PREPUBLICATION COPY – SUBJECT TO FURTHER EDITORIAL CORRECTION 29
From page 36...
... These examples are a reminder that computing researchers should not dismiss the possibility of catastrophic harms that may result from the imperfections or emergent and unanticipated properties of PREPUBLICATION COPY – SUBJECT TO FURTHER EDITORIAL CORRECTION 36
From page 37...
... Two such structural influences on computing research in particular raise significant ethical and societal impact issues: the lack of diversity of the computing research community and the lack of inclusiveness of affected populations in the design, development and testing of computing research and the artifacts it produces. Insufficient awareness of and lack of attention to systemic racism and sexism -- which includes the implicit perpetuating of biases that were once explicit and blatant -- have raised and continue to raise ethical and societal impact concerns.22 Computing researchers and the computing research community at large cannot by themselves change these structures.
From page 42...
... Such "open worlds problems" are of relevance to computing researchers whether they are developing systems for real-world deployment or developing methods that others may use for such purposes. 3.2.2 Confronting Cognitive Complexity of Oversight An approach frequently suggested for handling situations in which computing technologies may err is to recommend human oversight as a remedy, including but not limited to suggesting such oversight to compensate for the biases and limitations of algorithms in criminal justice, work and labor, and health care.
From page 57...
From page 63...
... This ease with which researchers can find and use "found data" obscures a plethora of concerns critical to responsible computing research, each with potential ethical and societal impact. In particular, computing researchers undertaking a data-intensive research project should at the start of using any data set ask several questions about the data.

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