Diversity, equity, inclusion, accessibility and belonging are important parts of our academic and professional lives. This page is intended to provide an introduction to DEI considerations and topics in Applied Machine Intelligence. These resources are not comprehensive and inevitably reflect the biases of their creators.

For additional information, visit the Diversity, Equity & Inclusion guide.

DEI & Applied Machine Intelligence

Western traditions of scholarship were formed by white, male, affluent researchers to meet the needs of affluent white men. Without careful thought and planning, harmful assumptions can persist in our scholarship. As you embark on your research, interrogate:

  • who is being studied (or not studied)
  • through which viewpoint or lens
  • assumptions made about people, collective good or harm

Resources & Further Reading