Category: Industry-Specific
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Heart Studies Allegedly Manipulated Data, Saying a Blood Thinner had Healing Effects
Author: Associated Press; Publisher: New York Post; Publication Year: 2022. The following article discusses a recent instance of possible data manipulation in a medical study. Temple University researchers authored a paper in which they concluded…
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Data Ethics & Privacy: Doing the Right Thing with Data
Author: Ashley Brown; Publisher: RGP; Publication Year: 2020. The following article discusses how COVID-19 has expedited the use of technology, particularly in healthcare and in dealing with containing the disease. Many countries are using GPS…
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Understanding the Ethical Dance of AI and Healthcare
Author: Ashleigh Kennedy; Publisher: TEDx Talks; Publication Year: 2020. The following video discusses how AI is innovating the healthcare industry, but as the technology develops and the line between humans and machine becomes blurry, ethical…
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Artificial Intelligence Risk & Governance
Author: Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS); Publisher: University of Pennsylvania; Publication Year: N/A. The following paper explores the potential risks of AI and provides a standardized practical categorization of these risks:…
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How Can the Aviation Industry Make AI Safer?
Artificial Intelligence, Consistency, High-Risk Activities, Open Sharing, Reform, Regulation, Safety Measures, Standardization, Training Programs, TransparencyAuthor: Arathi Sethumadhavan, Joe Garvin; Publisher: World Economic Forum; Publication Year: 2022. The following article describes how now that the field of artificial intelligence is growing, data scientists and executives can benefit from looking to…
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Data Sharing in Healthcare: Ethical Considerations for a Remote Era of Research
Big Data, Clinical-Trial Research, Contact Research Organizations, CROs, Data Sharing, Public HealthAuthor: Andrea Bastek; Publisher: MedCity News; Publication Year: 2021. The following article describes how the collection and distribution of big data has the potential to revolutionize the work done in clinical-trial research, particularly by contact…