Deploying Trustworthy AI in the Courtroom: Lessons from Examining Algorithm Bias in Redistricting AI

Deploying trustworthy AI is an increasingly pressing and common concern. In a court of law, the challenges are exacerbated by the confluence of a general lack of expertise in the judiciary and the rapid speed of technological advancement. We discuss the obstacles to trustworthy AI in the courtroom through a discussion that focuses on the legal landscape surrounding electoral redistricting. We focus on two particular issues, data bias and a lack of domain knowledge, and discuss how they may lead to problematic legal decisions. We conclude with a discussion of the separate but complementary roles of technology and human deliberation. We emphasize that political fairness is a philosophical and political concept that must be conceived of through human consensus building, a process that is distinct from algorithm development

A Reasonable Bias Approach to Gerrymandering: Using Automated Plan Generation to Evaluate Redistricting Proposals

Here, we present our findings, analogous to those on the efficiency gap in Part I.B of our Article published in the print edition of the William & Mary Law Review, on the other measures of partisan fairness

Appendix: A Reasonable Bias Approach to Gerrymandering: Using Automated Plan Generation to Evaluate Redistricting Proposals

Here, we present our findings, analogous to those on the efficiency gap in Part I.B of our Article published in the print edition of the William & Mary Law Review, on the other measures of partisan fairness

Reflections on the Cost of Low-Cost Whole Genome Sequencing: Framing the Health Policy Debate

The cost of whole genome sequencing is dropping rapidly. There has been a great deal of enthusiasm about the potential for this technological advance to transform clinical care. Given the interest and significant investment in genomics, this seems an ideal time to consider what the evidence tells us about potential benefits and harms, particularly in the context of health care policy. The scale and pace of adoption of this powerful new technology should be driven by clinical need, clinical evidence, and a commitment to put patients at the centre of health care policy

De novo mutations in PURA are associated with hypotonia and developmental delay

PURA is the leading candidate gene responsible for the developmental phenotype in the 5q31.3 microdeletion syndrome. De novo mutations in PURA were recently reported in 15 individuals with developmental features similar to the 5q31.3 microdeletion syndrome. Here we describe six unrelated children who were identified by clinical whole-exome sequencing (WES) to have novel de novo variants in PURA with a similar phenotype of hypotonia and developmental delay and frequently associated with seizures. The protein Puralpha (encoded by PURA) is involved in neuronal proliferation, dendrite maturation, and the transport of mRNA to translation sites during neuronal development. Mutations in PURA may alter normal brain development and impair neuronal function, leading to developmental delay and the seizures observed in patients with mutations in PURA