Proceedings ASCILITE2017: 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education (pp. Just two months ago, Facebook’s CTO Mike Schroepfer acknowledged in a statement that “the data of more than 87 million people could have been shared inappropriately with Cambridge Analytica.” Cambridge Analytica abused the possibilities offered by the social platform creating personality profiles based on that data stolen from the platform. This module points out common errors, in language suited for a student with limited exposure to statistics. We have seen a number of false starts on the use of patient data in the NHS. Big data, a term that is used to refer to the use of analyzing large datasets to provide useful insights, isn’t just available to huge corporations with big budgets. Security and privacy have always been at the core of data governance. Unethical use of customer data. AI is only as good as the data behind it, so this data must be fair and representative of all people and cultures. ), Me, Us, IT! In fact, it could be a $203 billion industry by 2020. This is not to say that there is no proper use of data mining, as it can in-fact lead to surprise outliers and interesting analyses. 2007; Siemens & Long 2011). Data is a double-edged sword. Big data got so big because there’s a demand for consumer and voter information. The technology itself is inherently ethics-agnostic. Computer Ethics vs. Big Data Analytics “Computing Artifact vs. Data” •Because there is controversy with computer ethics compared to general ethics frameworks, there can be a controversy over whether issues such as big data and analytics belong in computer ethics, or if they should be treated on their own. Unethical actions based on interpretations So why are there questions being raised about the ethics of analytics, and its related technology, Big Data? Government Data Needs an Ethical Foundation (Contributed) While the private sector has struggled with unethical uses of data, government can learn … "The first principle for ethical data use is that it should be done with an expectation of tangible benefit," write Etlinger and Groopman. Many resources are available, such as those from IBM, to provide guidance in data masking for big data analytics. mainly for the purposes of academic analytics, or the use of large datasets married with data mining and statistical techniques to draw conclusion directed at the institutional level, rather than at practices aimed at directly impacting students’ learning or faculty teaching (Campbell et al. Since big data analytics is so new, most organizations don't realize there are risks, so they use data masking in ways that could breach privacy. But it does push the art of the possible to new limits in terms of: • The availability of a wide range of data from many sources. 15 We have big data that is literally increasing by the second and we have advances in analytics that help makes big data quantifiable and thus useful. Typically, company policies, processes, and procedures have been designed to comply with these regulations to avoid fines and in some cases jail time. 1. All too often, we see the inappropriate use of Data Science methods leading to erroneous conclusions. The scale and ease with which analytics can be conducted today completely changes the ethical framework. Data dredging is a self-serving technique often employed for the unethical purpose of circumventing traditional data mining techniques, in order to seek additional data conclusions that do not exist. 27 … Furthermore, the technology must be developed in accordance with international laws. Data is now one of our world’s most precious resources, and over the last few years, businesses have been learning how to use it to become more successful and profitable. use of resources and prevention of failure or accident. With all this data, though, it can be difficult for data scientists and analytics teams to determine which metrics are actually useful, and the process of plucking meaningful data from a sea of information is tough. Data visualization made it easy for staff to identify individual, at-risk students and get those students the attention they need. It is in this environment that the review boards of today and tomorrow must operate. Defining ‘data’ in conversations with students about the ethical use of learning analytics. Although the purpose of the law is to discourage unethical behavior, it is nearly impossible for legislators to keep pace with technological advancement. Figure 4: This map, beloved by President Trump, accurately depicts the county-by-county results of the 2016 presidential election. (Eds. Heedless data collection in business analytics programmes is breeding moral hazards, Frank Buytendijk will tell TDWI symposium in London next week. This year’s G20 Summit finance ministers agreed, for the first time, on G20’s own principles for responsible AI use . Indeed, setting expectations up front around data usage is vital to protecting customer data from unethical use. The new Data Protection Act, implementing the gold-standard GDPR into our laws provides the right legal basis for privacy and must be respected in letter and spirit across health and social care. But with the advent of big data, we no longer need to speculate: the future has arrived. Contact center data, including calls, chats, texts, and emails, is no exception. The Open University is authorised … Dashboards set up by the Research and Data Management Team delivered real-time analytics to 7,000 DMPS teachers and staff so they could adapt and intervene sooner, dramatically improving the intervention success rates. In H. Partridge, K. Davis, & J. Thomas. Let's consider this. Thus, organizations should put clear identity and access-management standards in place and ensure that only those with privileged access can view customer data and make system changes. Big data analytics raises a number of ethical issues, especially as companies begin monetizing their data externally for purposes different from those for which the data was initially collected. Learn about the importance of data ethics. This Code of Ethics applies specifically to those seeking (re)-certification as a Certified Analytics Professional (CAP ®), but may be useful to other practitioners who use analytics. 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