TY - JOUR
T1 - Guidelines for the responsible application of data analytics
AU - Clarke, Roger
N1 - Publisher Copyright:
© 2018 Roger Clarke
PY - 2018/6
Y1 - 2018/6
N2 - The vague but vogue notion of ‘big data’ is enjoying a prolonged honeymoon. Well-funded, ambitious projects are reaching fruition, and inferences are being drawn from inadequate data processed by inadequately understood and often inappropriate data analytic techniques. As decisions are made and actions taken on the basis of those inferences, harm will arise to external stakeholders, and, over time, to internal stakeholders as well. A set of Guidelines is presented, whose purpose is to intercept ill-advised uses of data and analytical tools, prevent harm to important values, and assist organisations to extract the achievable benefits from data, rather than dreaming dangerous dreams.
AB - The vague but vogue notion of ‘big data’ is enjoying a prolonged honeymoon. Well-funded, ambitious projects are reaching fruition, and inferences are being drawn from inadequate data processed by inadequately understood and often inappropriate data analytic techniques. As decisions are made and actions taken on the basis of those inferences, harm will arise to external stakeholders, and, over time, to internal stakeholders as well. A set of Guidelines is presented, whose purpose is to intercept ill-advised uses of data and analytical tools, prevent harm to important values, and assist organisations to extract the achievable benefits from data, rather than dreaming dangerous dreams.
KW - Big data
KW - Data quality
KW - Data science
KW - Decision quality
KW - Regulation
UR - http://www.scopus.com/inward/record.url?scp=85037587832&partnerID=8YFLogxK
U2 - 10.1016/j.clsr.2017.11.002
DO - 10.1016/j.clsr.2017.11.002
M3 - Article
SN - 0267-3649
VL - 34
SP - 467
EP - 476
JO - Computer Law and Security Review
JF - Computer Law and Security Review
IS - 3
ER -