In the panel entitled Investigations in the Era of AI, David K.A. Mordecai discussed practical implications of mathematical statistics, computational inference, machine learning and Artificial Intelligence (AI) in the context of large-scale, data-intensive technical investigations, e.g. algorithmic trading platforms, as well as for very large and highly complex litigations across finance and insurance, among other sectors:
- Computational Forensics and technical aspects of evidentiary burden and standards for admissibility and weight of machine testimony and machine behavior
- Principles of machine testimony and digital forensics: data adequacy, data sufficiency and representativeness
- Inherent limitations of data and algorithms: data bias, sampling bias, algorithmic bias, software and hardware errors
- Foundational technical principles and the fundamental forensic reliability of evidence and scientific analysis
David Mordecai served on the planning committee for this first-of-a-kind National Institute, assisting in shaping the agenda and speaker lineup. He is a regular speaker at ABA events and serves as the Vice-Chair of the ABA Science & Technology Law Section’s Artificial Intelligence and Robotics Committee and also the Nanotechnology Committee.