Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jacob Metcalf"'
Autor:
Katie Shilton, Emanuel Moss, Sarah A. Gilbert, Matthew J. Bietz, Casey Fiesler, Jacob Metcalf, Jessica Vitak, Michael Zimmer
Publikováno v:
Big Data & Society, Vol 8 (2021)
Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we t
Externí odkaz:
https://doaj.org/article/91ac7e8b5e9848859949e91c4d4e8dd0
Autor:
Emanuel Moss, Jacob Metcalf
Publikováno v:
Patterns, Vol 1, Iss 7, Pp 100102- (2020)
Summary: The COVID-19 pandemic has, in a matter of a few short months, drastically reshaped society around the world. Because of the growing perception of machine learning as a technology capable of addressing large problems at scale, machine learnin
Externí odkaz:
https://doaj.org/article/a009d3eb0e514df7a93fdc29d3610018
Autor:
Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 3, p e1005399 (2017)
Externí odkaz:
https://doaj.org/article/15b09f84f68f483b81b51bcfbdedefcf
Autor:
Jacob Metcalf, Kate Crawford
Publikováno v:
Big Data & Society, Vol 3 (2016)
There are growing discontinuities between the research practices of data science and established tools of research ethics regulation. Some of the core commitments of existing research ethics regulations, such as the distinction between research and p
Externí odkaz:
https://doaj.org/article/0626ee2b99a0454498639398d967c4c6
When algorithmic harms emerge, a reasonable response is to stop using the algorithm to resolve concerns related to fairness, accountability, transparency, and ethics (FATE). However, just because an algorithm is removed does not imply its FATE-relate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a57497c15928bf06593e8052ff671f
Publikováno v:
Patterns. 3:100608
Policymakers are increasingly turning toward assessments of social, economic, and ethical impacts as a governance model for automated decision systems in sensitive or regulated domains. In both the United States and the European Union, recently propo
Publikováno v:
AIES
Algorithmic decision-making and decision-support systems (ADS) are gaining influence over how society distributes resources, administers justice, and provides access to opportunities. Yet collectively we do not adequately study how these systems affe
Publikováno v:
Social Research: An International Quarterly. 86:449-476
Publikováno v:
FAccT
Algorithmic impact assessments (AIAs) are an emergent form of accountability for organizations that build and deploy automated decision-support systems. They are modeled after impact assessments in other domains. Our study of the history of impact as
Publikováno v:
SSRN Electronic Journal.
The Algorithmic Impact Assessment is a new concept for regulating algorithmic systems and protecting the public interest. Assembling Accountability: Algorithmic Impact Assessment for the Public Interest is a report that maps the challenges of constru