Digital Commons Network^™

Enabling Science Fiction, Camilla A. Hrdy, Daniel H. Brean

Michigan Technology Law Review

Patent law promotes innovation by giving inventors 20-year-long exclusive rights to their inventions. To be patented, however, an invention must be “enabled,” meaning the inventor must describe it in enough detail to teach others how to make and use the invention at the time the patent is filed. When inventions are not enabled, like a perpetual motion machine or a time travel device, they are derided as “mere science fiction”—products of the human mind, or the daydreams of armchair scientists, that are not suitable for the patent system.

This Article argues that, in fact, the literary genre of science fiction …

From Automation To Autonomy: Legal And Ethical Responsibility Gaps In Artificial Intelligence Innovation, David Nersessian, Ruben Mancha

Michigan Technology Law Review

The increasing prominence of artificial intelligence (AI) systems in daily life and the evolving capacity of these systems to process data and act without human input raise important legal and ethical concerns. This article identifies three primary AI actors in the value chain (innovators, providers, and users) and three primary types of AI (automation, augmentation, and autonomy). It then considers responsibility in AI innovation from two perspectives: (i) strict liability claims arising out of the development, commercialization, and use of products with built-in AI capabilities (designated herein as “AI artifacts”); and (ii) an original research study on the ethical practices …

Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai

Articles

Artificial intelligence and machine learning represent powerful tools in many fields, ranging from criminal justice to human biology to climate change. Part of the power of these tools arises from their ability to make predictions and glean useful information about complex real-world systems without the need to understand the workings of those systems.