Business Development: Harvard Referencing Assignment - Semester 1

This homework assignment requires the student to create Harvard-style references for a list of 20 provided articles. The assignment emphasizes the correct formatting and citation of sources according to the Harvard referencing system, a widely used academic style. The student needs to ensure that each reference includes the necessary elements, such as author, year, title, and publication details. This task aims to reinforce the student's understanding of proper citation and referencing practices, which are crucial for academic integrity and avoiding plagiarism. The assignment demonstrates the importance of accurate and consistent referencing in academic writing, and the assignment helps students in learning the proper referencing styles.

References
Aaronson, S., 2018. Data Minefield: How AI is Prodding Governments to Rethink Trade in
Data. Centre for International Governance Innovation, April, 3.
Actuaries Institute, 2016. The Impact of Big Data on the Future of Insurance,pp. 4-30.
Cape Gemini, 2019. How Insurers Can Harness Artificial Intelligence, pp3-27.
Cognizant, 2019. How Insurers Can Harness Artificial Intelligence, pp. 7-10.
Davis, N., Farthing, S., Santow, E and Corr, l., 2019. Artificial Intelligence: governance and
leadership, pp.5.
Deloitte, 2019. From mystery to mastery, pp. 4-39.
Derrington, D, 2017. Artificial Intelligence for Health and Health Car,pp. 1-32.
Focus, 2018. THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE (RE)INSURANCE
SECTOR,pp. 6-30.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H. and Wang,
Y., 2017. Artificial intelligence in healthcare: past, present and future. Stroke and vascular
neurology, 2(4), pp.230-243.
Malherbe, A, 2017. Introduction to insurance survey 2017, pp. 3-14.
Maynard, T., 2019. Taking control Artificial intelligence and insurance. University of Surrey.
McKINSEY, 2017. Artificial intelligence in health insurance, pp-2-7.
NTT DATA, 2016. The AI Revolution in Insurance: A Reality Check, pp. 4-13.
Nuffield foundation, 2019. Ethical and societal implications of algorithms, data, and artificial
intelligence: a roadmap for research, pp.1-12.
Oliver, 2019. Technology driven value driven, pp. 1-51.
PWC,2016.Top annual report issues, (8),pp. 3-33.

Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J.,
Kalyanakrishnan, S., Kamar, E., Kraus, S. and Leyton-Brown, K., 2016. Artificial intelligence
and life in 2030: One hundred year study on artificial intelligence. Report of the 2015 Study
Panel, tech report, pp. 49
Swiss re Institute, 2017. Technology and insurance theme and challenge, pp. 1-27.
Vakkuri, V. and Abrahamsson, P., 2018. The Key Concepts of Ethics of Artificial Intelligence-A
Keyword based Systematic Mapping Study. arXiv preprint arXiv:1809.07027.
Whittlestone, J. Nyrup, R. Alexandrova, A. Dihal, K. Cave, S., 2019. Ethical and societal
implications of algorithms, data, and artificial intelligence: a roadmap for research. London:
Nuffield Foundation.