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. 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. It can improve your business, but customers will be sensitive about it. Heedless data collection in business analytics programmes is breeding moral hazards, Frank Buytendijk will tell TDWI symposium in London next week. When I reviewed the curricula of data science and analytics degree programs last year for a course I was developing, I found only one school that requires an ethics class. ), Me, Us, IT! Data scientists use data to train models. 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. 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. USE OF BIG DATA ANALYTICS 489 practices, users may continue reducing the data they share, especially health data, because they do not understand the collective value of their data. Describing data inaccurately. Defining ‘data’ in conversations with students about the ethical use of learning analytics. 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. Data visualization made it easy for staff to identify individual, at-risk students and get those students the attention they need. The Open University is authorised … Let's consider this. Finally, Vallor said, big data could be used to discriminate, with “analytics as a quick and dirty form of redlining.” Certain types of people could be classified as poor risks for employment, health care interventions, or educational services, for example. The technology itself is inherently ethics-agnostic. Examples for the unethical use of big data analytics and the resulting reputational and economic effects include the public’s reaction to Target’s alleged prediction of a teenager’s pregnancy 27 … GDPR heavily emphasizes consent for use of personal data, and in an employment context, the meaning of this is quite strict. 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. The Washington-based think tank on Sunday released a five-point framework intended to help colleges navigate the ethical concerns surrounding predictive analytics as they flip the switch on adaptive learning, early-warning and other data-driven systems. 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. Government Data Needs an Ethical Foundation (Contributed) While the private sector has struggled with unethical uses of data, government can learn … AI is only as good as the data behind it, so this data must be fair and representative of all people and cultures. 15 Policy on Ethical use of Student Data for Learning Analytics September 2014 The Open University is incorporated by Royal Charter (RC 000391), an exempt charity in England & Wales and a charity registered in Scotland (SC 038302). Security and privacy have always been at the core of data governance. (Eds. use of resources and prevention of failure or accident. However, companies now operate in a more external and connected fashion then ever before. We have seen a number of false starts on the use of patient data in the NHS. 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. It is in this environment that the review boards of today and tomorrow must operate. By the end of March, West Midlands Police is due to finish a prototype for the National Data Analytics Solution (NDAS), an AI system designed to predict the risk of where crime will be committed and by whom. 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. This module points out common errors, in language suited for a student with limited exposure to statistics. All too often, we see the inappropriate use of Data Science methods leading to erroneous conclusions. Data is a double-edged sword. While there’s nothing particularly new about the analytics conducted in big data, the scale and ease with which it can all be done today changes the ethical framework of data analysis. As a point of reference, analytics that “touches” pro AV and digital signage applications is growing at >30% per year. Unethical use of customer data. Reg Baker, executive director of Marketing Research Institute International, says the industry is working to expand the ethics that cover primary data to also address secondary data. Figure 4: This map, beloved by President Trump, accurately depicts the county-by-county results of the 2016 presidential election. For the sake of discussion here, we will be focusing on 'data that is technically legal, but considered bad form'. Furthermore, the technology must be developed in accordance with international laws. Many resources are available, such as those from IBM, to provide guidance in data masking for big data analytics. This data was allegedly used to … Learn about the importance of data ethics. This year’s G20 Summit finance ministers agreed, for the first time, on G20’s own principles for responsible AI use . Unethical actions based on interpretations A particularly unethical way to mislead using data visualizations is to mislabel data or use accompanying text that “explains” it inaccurately. 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. 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