Category: 2016

The FAIR Guiding Principles for Scientific Data Management and Stewardship

Accessibility, Data Handling, Findability, Interoperability, Reproducibility, Scientific Literature

Author: Mark D. Wilkinson et al.; Publisher: Nature; Publication Year: 2016. The following article focuses on the need to improve data handling in order to ensure the reproducibility of results published in scientific literature. It…
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Downside of Fitness Trackers and Health Apps is Loss of Privacy

Health Apps, Health Tracker, Location Data, Sensitive Data, Wearable Devices

Author: Victoria J. Palmer; Publisher: The Conversation; Publication Year: 2016. The following article starts off with a bold statement to capture the audience, saying the public have now become the study subjects and the collection…
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Biased Data, Debiasing, Google, Machine Learning, Stereotypes

Author: Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.; Publisher: Arxiv; Publication Year: 2016. The following article discusses how machine learning applied blindly runs the risk of amplifying biases in data. Word embedding, a popular…
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Scientists Are Just as Confused About the Ethics of Big-Data Research as You

Data Research, Ethical Boundaries, Institutional Review Boards, The Common Rule

Author: Sarah Zhang; Publisher: Wired; Publication Year: 2016. The following article discusses how ethical boundaries for data researchers are still developing as data research is still an emerging field. Under the Common Rule in the…
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A Beauty Contest was Judged by AI and the Robots Didn’t like Dark Skin

Artificial Intelligence, Beauty.AI, Human Beauty, Microsoft, Racial Bias, Representation in Training Datasets, Training Data, Youth Laboratories

Author: Sam Levin; Publisher: The Guardian; Publication Year: 2016. The following article discusses how in 2016, the first artificial intelligence (AI) judged beauty contest was conducted. The objective factors included facial symmetry and wrinkles. Beauty.AI,…
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Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems

Accountability, Data Science, Ethical Implications, Participative Management, Responsibility

Author: Sabina Leonelli; Publisher: The Royal Society; Publication Year: 2016. The following article talks about the challenges produced in data science around the responsibilities and accountabilities of individuals in the industry. The author advocates a…
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The Ethics of Smart Cities and Urban Science

Anticipatory Governance, Data-Driven Urbanism, Dataveillance, Epistemology, Geosurveillance, Smart Cities, Software-Enabled Technology, Urban Big Data, Urbanism

Author: Rob Kitchin; Publisher: The Royal Society; Publication Year: 2016. The following article talks about how software-enabled technologies and urban big data have become essential to the functioning of cities. Consequently, urban operational governance and…
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Privacy in the Digital Age

Digital Privacy, Individual Rights

Author: Nicholas Martino; Publisher: TEDx Talks; Publication Year: 2016. The following video features Martino who addresses the issues of privacy and individual rights in the era of digital age that everyone should treat seriously. It…
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Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications

Big Data, Mental Health, Natural Language Processing Technology, Public Health, Social Media

Author: Mike Conway, Daniel O’Connor; Publisher: Current Opinion in Psychology; Publication Year: 2016. The following article discusses how social media big data being combined with natural language processing (NLP) technology can address public health research…
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