Keywords: Accountability, Data Science, Ethical Implications, Participative Management, Responsibility
Author: Sabina Leonelli
Publisher: The Royal Society
Publication Year: 2016
Summary: 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 flexible, participative management of data practices. Regulatory agencies should be responsible for encouraging data scientists to examine ethical implications of their work regularly. They should also acknowlegde the abundance of skills and perspectives, and how each perspective is biased with others. Individuals involved in data science must assess the sustainability of ethical solutions and propose advancements as the ethical landscape changes.