One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
The need for transparency of predictive systems based on Machine Learning algorithms arises as a consequence of their ever-increasing proliferation in the industry. Whenever black-box algorithmic predictions influence human affairs, the inner workings of these algorithms should be scrutinised and their decisions explained to the relevant stakeholders, including the system …