Zeitschrift | Band
Philosophy & Technology
The ethics of biomedical "Big Data" analytics
Band 32 (1)
Details | Inhaltsverzeichnis
What the near future of artificial intelligence could be
pp.1-15
https://doi.org/10.1007/s13347-019-00345-y
"My fitbit thinks I can do better!"
do health promoting wearable technologies support personal autonomy?
pp.23-38
https://doi.org/10.1007/s13347-017-0266-2
Between minimal and greater than minimal risk
how research participants and oncologists assess data-sharing and the risk of re-identification in genomic research
pp.39-55
https://doi.org/10.1007/s13347-017-0268-0
Social justice, equality and primary care
(how) can "big data" help?
pp.57-68
https://doi.org/10.1007/s13347-017-0270-6
Big data analytics, infectious diseases and associated ethical impacts
pp.69-85
https://doi.org/10.1007/s13347-017-0278-y
Accessing online data for youth mental health research
meeting the ethical challenges
pp.87-110
https://doi.org/10.1007/s13347-017-0286-y
Trust and justice in big data analytics
bringing the philosophical literature on trust to bear on the ethics of consent
pp.111-134
https://doi.org/10.1007/s13347-017-0288-9
Doing away with the agential bias
agency and patiency in health monitoring applications
pp.135-154
https://doi.org/10.1007/s13347-018-0313-7
The digital phenotype
a philosophical and ethical exploration
pp.155-171
https://doi.org/10.1007/s13347-018-0319-1
The challenge of the digital and the future archive
through the lens of the national archives uk
pp.173-183
https://doi.org/10.1007/s13347-018-0333-3Publication details
Zeitschrift: Philosophy & Technology
Band: 32
Issue: 1
Year: 2019
Referenz:
Mittelstadt Brent (2019) The ethics of biomedical "Big Data" analytics. Philosophy & Technology 32 (1).