Artificial Intelligence and Justice Reform: Promoting Fairness and Efficiency

This year, I am leading a research initiative aimed at leveraging artificial intelligence to enhance fairness and efficiency within the justice system. Our project encompasses three main objectives: analyzing the influence of extralegal factors on judicial decisions, assessing the impact of justice reforms on economic development, and implementing training programs for judges and civil servants. By integrating AI diagnostics, randomized control trials, and a human-centric approach to AI in our methodologies, we aim to correct biases in judicial decisions, improve economic outcomes through enhanced legal processes, and cultivate a culture of empathy and fairness in policymaking.

A research partner could contribute in multiple ways, based on their skills, interests, and project needs. Some tasks will involve NLP and data science. Others will include designing and analyzing large-scale randomized control trials (RCTs) with judiciaries. Some tasks can involve developing open-source apps for global court collaborations. Other tasks can entail communicating findings to a broader audience. This position is ideal for candidates who are passionate about applications of data science and technology to improve fairness and efficiency in the justice system.