Law Commons^™

Judicial Deference To Agency Action Based On Ai, Cade Mallett

Catholic University Journal of Law and Technology

No abstract provided.

Legal Risks Of Adversarial Machine Learning Research, Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert

Articles, Book Chapters, & Popular Press

Adversarial machine learning is the systematic study of how motivated adversaries can compromise the confidentiality, integrity, and availability of machine learning (ML) systems through targeted or blanket attacks. The problem of attacking ML systems is so prevalent that CERT, the federally funded research and development center tasked with studying attacks, issued a broad vulnerability note on how most ML classifiers are vulnerable to adversarial manipulation. Google, IBM, Facebook, and Microsoft have committed to investing in securing machine learning systems. The US and EU are likewise putting security and safety of AI systems as a top priority.

Now, research on adversarial …

Legal Personhood For Artificial Intelligence, Tyler Jaynes

Tyler Jaynes

Mitochondrial Dna Replacement: Moral And Halakhic Concerns, J. David Bleich

Articles

Mitochondrial DNA (mtDNA), transmitted from mother to child, have their own genetic code that may cause debilitating genetic diseases. To prevent such unfortunate occurrences, researchers have developed a process enabling them to completely replace an ovum’s mitochondria with mitochondria contributed by a donor. Children born by use of this method have genetic material from both the mitochondrial donor and the birth mother; they are “three-parent babies.” Resultant medical, ethical, legal and theological problems are obvious.

Moreover, this technology may pose significant risks to neonates born of such procedures. Certainly no person has the right to cause harm to a fellow …