Law Commons^™

The Input Fallacy, Talia B. Gillis

Faculty Scholarship

Algorithmic credit pricing threatens to discriminate against protected groups. Traditionally, fair lending law has addressed such threats by scrutinizing inputs. But input scrutiny has become a fallacy in the world of algorithms.

Using a rich dataset of mortgages, I simulate algorithmic credit pricing and demonstrate that input scrutiny fails to address discrimination concerns and threatens to create an algorithmic myth of colorblindness. The ubiquity of correlations in big data combined with the flexibility and complexity of machine learning means that one cannot rule out the consideration of protected characteristics, such as race, even when one formally excludes them. Moreover, using …

Law's Halo And The Moral Machine, Bert I. Huang

Faculty Scholarship

How will we assess the morality of decisions made by artificial intelli­gence – and will our judgments be swayed by what the law says? Focusing on a moral dilemma in which a driverless car chooses to sacrifice its passenger to save more people, this study offers evidence that our moral intuitions can be influenced by the presence of the law.

Debating Autonomous Weapon Systems, Their Ethics, And Their Regulation Under International Law, Kenneth Anderson, Matthew C. Waxman

Faculty Scholarship

An international public debate over the law and ethics of autonomous weapon systems (AWS) has been underway since 2012, with those urging legal regulation of AWS under existing principles and requirements of the international law of armed conflict, on the one side, in argument with opponents who favor, instead, a preemptive international treaty ban on all such weapons, on the other. This Chapter provides an introduction to this international debate, offering the main arguments on each side. These include disputes over defining an AWS, the morality and law of automated targeting and target selection by machine, and the interaction of …

Law And Ethics For Autonomous Weapon Systems: Why A Ban Won't Work And How The Laws Of War Can, Kenneth Anderson, Matthew C. Waxman

Faculty Scholarship

Public debate is heating up over the future development of autonomous weapon systems. Some concerned critics portray that future, often invoking science-fiction imagery, as a plain choice between a world in which those systems are banned outright and a world of legal void and ethical collapse on the battlefield. Yet an outright ban on autonomous weapon systems, even if it could be made effective, trades whatever risks autonomous weapon systems might pose in war for the real, if less visible, risk of failing to develop forms of automation that might make the use of force more precise and less harmful …