Thursday, October 31, 2019
On November 8, Professor Kristin Johnson of Tulane will host Tulane Law School’s 2019 Gamm Comparative Law and Justice Symposium, focusing on The Implications of Artificial Intelligence for a Just Society. The rise of artificial intelligence introduces efficiencies and new opportunities in finance, employment, education, criminal law enforcement risk assessments, national security and the automation of the various professions, including the development of smart contracts and the automation of various skills associated with the practice of law. Recursive learning and neural networks enable machine learning algorithms to adapt beyond simple instructions and independently assess data in decision-making processes. Early evidence indicates, however, that learning algorithms may operate in a manner that leads to unfair, biased or unethical and in some cases, discriminatory outcomes.
The Gamm Symposium will explore these normative concerns and proposed solutions including proposals demanding algorithmic accountability or, more specifically, proposals encouraging explainability and transparency. Advancing the discussion beyond traditional proposals, the Symposium concludes with a panel exploring the lack of gender balance in the technology industry and capital investment in women-lead technology firms.
The event is free and open to the public, though registration is required. More information is available here.