About the Project When humans label data to train AI models, their own biases and stereotypes may be reflected in the data, which consequently appear in the resulting trained models leading to unfair, biased, and non-transparent decisions. In collaboration with the...
About the Project Investments in data analytics technology are still growing strongly around the world. The 2019 SIM IT Trends and Issues study rated analytics technologies as the largest IT investment decision for companies for the last 10 years. While existing...
