Early lessons learned in the ENDORSE project: Legal challenges and possibilities in developing data protection compliance software

IFIP Advances in Information and Communication Technology

Volumn 375 AICT, Issue , 2012, Pages 73-87

  Olislaegers, Sandra ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

compliance software; data protection; data protection compliance

Indexed keywords

DATA PRIVACY;

BUILDING SOFTWARES; LEGAL NORMS; SMALL AND MEDIUM ENTERPRISE;

INFORMATION TECHNOLOGY;

EID: 84865485500     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-31668-5_6     Document Type: Conference Paper

References (20)

1. Hage, J.C.: Reasoning With Rules: An Essay on Legal Reasoning and its Underlying Logic. Kluwer Academic Publishers, Dordrecht (1997)
2. Claes, E., Devroe, W., Keirsbilck, B.: Facing the limits of the law. Springer, Berlin (2009)
3. Waismann, F.: Verifiability. In: Flew, A. (ed.) Essays on Logic and Language, vol. 7, pp. 117-144. Blackwell, Oxford (1951)
4. Boella, G., Van der Torre, L.: Substantive and procedural norms in normative multiagent systems. Journal of Applied Logic 6, 152 (2008)
5. Yeung, K.: Towards an Understanding of Regulation by Design. In: Brownsword, R., Yeung, K. (eds.) Regulating Technologies: Legal Futures, Regulatory Frames and Technological Fixes. Hart Publishing, Oxford (2008)
6. Koops, E.J.: The (In)flexibility of Techno-Regulation and the Case of Purpose-Binding. Legisprudence 5(2), 171-194 (2011)
7. Pagallo, U.: On the Principle of Privacy by Design and Its Limits: Technology, Ethics and the Rule of Law (forthcoming)
8. Kitchin, R., Dodge, M.: Code/space: Software and Everyday Life. The MIT Press, Massachusetts (2011)
9. Thaler, R.H., Sunstein, C.R.: Nudge: Improving Decisions About Health, Wealth, and Happiness. Penguin, New York (2009)
10. Tannenbaum, D.: Information asymmetries in policy defaults: Some defaults speak louder than others. Unpublished manuscript, University of California, Irvine (2010)
11. Atkinson, K.M.: Legal Case-based Reasoning as Practical Reasoning. Artificial Intelligence and Law 13(1), 93-131 (2006)
12. Prakken, H., Sartor, G.: Modelling Reasoning with Precedents in a Formal Dialogue Game. Artificial Intelligence and Law 6, 231-287 (1998)
13. Kerner, Y.H., Schild, U., Zeleznikow, J.: Developing computational models of discretion to build legal knowledge based systems. In: Proceedings of the 7th International Conference on Artificial Intelligence and Law, pp. 206-213. ACM, New York (1999)
14. Aikenhead, M.: The Uses and Abuses of Neural Networks in Law. Computer and High Technology Law Journal 12, 31-70 (1995)
15. Lawren, S., Fong, S., Giles, C.L.: Natural Language Grammatical Inference: A Comparison of Recurrent Neural Networks and Machine Learning Methods. In: Wermter, S., Ellen, R., Scheler, G. (eds.) IJCAI-WS 1995. LNCS, vol. 1040, pp. 33-47. Springer, Heidelberg (1996)
16. Bench-capon, T.: Neural Networks and Open Texture. In: Proceedings of the 4th International Conference on Artificial Intelligence and Law, pp. 292-297. ACM, New York (1993)
17. Schafer, B.: ZombAIs: Legal Expert Systems as Representatives "Beyond the Grave". SCRIPTed. 7(2), 384 (2010)
18. Zeleznikow, J., Stranieri, A.: Modelling discretion in the Split-Up system. In: PACIS 1997 Proceedings, pp. 307-320 (1997)
19. Zeleznikow, J., Nolan, J.R.: Using soft computing to build real world intelligent decision support systems in uncertain domains. Decision Support Systems 31(2), 263-285 (2001)
20. Zeleznikow, J.: Building Judicial Decision Support Systems in Discretionary Legal Domains. International Review of Computers, Law and Information Technology 14, 341-356 (2000)