Author: N/A; Publisher: ParsonsTKO; Publication Year: 2021. The following video discusses how data storytelling is essential for any good data scientist. This makes it even more important for data scientists to be aware of privacy concerns, and avoid bias, and misinterpretation. This video includes panelists that all have expertise in the data ethics and regarding public relations. For example, if you publish a…
Author: Will Douglas Heaven; Publisher: MIT Technology Review; Publication Year: 2021. The following article discusses how it is a known fact that biased algorithms affect automatic decision-making processes. To fix this problem, many researchers and start-ups are working to build fairer algorithms. The author, however, claims that building a fair algorithm is not enough because low-income and minority groups represent a very small…
Author: N/A; Publisher: Western Governors University; Publication Year: 2021. The following article discusses how companies with higher ethical standards have been shown to perform better than companies who fail to consider the ethics of their practice. “73% of professionals say they take an organization’s values into account.” It is important for employees in deciding where to work if the company has values that align with…
Author: Wendy Hui Kyong Chun; Publisher: MIT Press; Publication Year: 2021. The following book discusses the innate bias that comes from dirty data and how removing indicators of race will not remove bias from artificial intelligence. The author explains several concepts including: alternative algorithms, defaults, and interdisciplinary coalitions to foster more ethical/democratic data…
Author: Vincent Manancourt; Publisher: Politico; Publication Year: 2021. The following article discusses how last year, one European Union employee and 2 U.S. employees acted as whistleblowers on Amazon’s mishandling of customer data. For example, the data storage is so convoluted that it would be nearly impossible to enact “the right to be forgotten,” a right that people have the right to have their data completely…
Author: Vidhi Chugh; Publisher: Medium; Publication Year: 2021. The following article describes how as a data scientist, if you want the product you are working on to be “[artificial intelligence (AI)] for good,” then it is inevitable to encounter some situations such as biased data, biased models, or biased implementation. This article illustrated forms of what data bias can be and there is no one solution for all. But…
Author: Ugonma Nwankwo, Michael Pisa; Publisher: Center for Global Development; Publication Year: 2021. The following article discusses how evidence-based policy making is ineffective when it relies on biased information, a potential source for this is bias in the datasets. In the U.S., women make up 18% of data scientist jobs and in lower-income countries, that stat is even worse. In the data value chain, which includes collection, publication, uptake and…
Author: Ton Reijns, Richard Weurding, Jos Schaffers; Publisher: KPMG International; Publication Year: 2021. The following article discusses how the European Commission and corresponding European Union General Data Protection Regulation (GDPR) laws have established a framework for ethical artificial intelligence (AI) usage, specifically within the insurance industry. The Dutch have adopted and mandated their own set of standards based off these…
Author: Tom Jongen; Publisher: Medium; Publication Year: 2021. The following article gives a bit of background on the current issues with using data for malintent. He then outlines some of the necessities of working with data, and what companies should require of those who work with sensitive data. The first point is to create experts in ethical thinking. They do this by training data experts on data security and the…
Author: Tom Jongen; Publisher: Medium; Publication Year: 2021. The following article discusses how if any company uses customer data to make customer-facing decisions, there are ethical issues that need to be considered. Also, it asks us to consider “When ‘Know Your Customer’ goes too far;” and the issues related to Facebook/Cambridge Analytica political influence scandal from 2016 provide a clear…