The Data Hazards Project#
Data Hazards is a project to help us all identify the hazards of using data science. Data scientists are great at selling our work, for example communicating the gains in efficiency and accuracy, but we are less well-practiced in thinking about the ethical implications of our work. The ethical implications go beyond most ethics Institutional Review Boards, to questions about the wider societal impact of data science and algorithms work.
Project Aims
Create a community-driven open-source vocabulary of ethical hazards for data-intensive research and development, in the form of Data Hazard labels.
Make ethical and future-thinking more accessible to data scientists, computer scientists and applied mathematicians to apply to their own work.
Enable bringing together and respecting diverse and interdisciplinary viewpoints to this work, and produce resources to do this.
Find out in what circumstances, and for who, these resources work best.
Contributors#
Our brilliant contributors are listed here, and you can read more detail about our contributing process here.
