Singh , JatCobbe, JenniferNorval, Chris2024-03-122024-03-122019-01-16Singh , J, Cobbe, J & Norval, C 2019, 'Decision Provenance : Harnessing Data Flow for Accountable Systems', IEEE Access, vol. 7, pp. 6562-6574. https://doi.org/10.1109/ACCESS.2018.28872012169-3536ORCID: /0000-0002-4331-7863/work/153542297https://hdl.handle.net/2164/22985Funding Information: This work was supported by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P024394/1 and Grant EP/R033501/1 and Microsoft through the Microsoft Cloud Computing Research Centre.133477630engAccountabilityAIalgorithmic & automated decision-makingdata managementGDPRgovernanceIoTlawmachine learningprivacyprovenancesecuritysystems of systemstransparencyTK Electrical engineering. Electronics Nuclear engineeringGeneral Computer ScienceGeneral Materials ScienceGeneral EngineeringEngineering and Physical Sciences Research Council (EPSRC)EP/P024394/1EP/R033501/1TKDecision Provenance : Harnessing Data Flow for Accountable SystemsJournal article10.1109/ACCESS.2018.2887201http://www.scopus.com/inward/record.url?scp=85058884047&partnerID=8YFLogxK7