Three Laws Blog: Law and Artificial Intelligence

Trapova on Intellectual Property Law and Artificial Intelligence @alinatrapova @Elgar_Law

Alina Trapova, University of Nottingham School of Law, is publishing Intellectual Property Law and Artificial Intelligence in Encyclopedia of International Economic Law (Krista Nadakavukaren Schefer and Thomas Cottier, eds., Edward Elgar Publishing). Here is the abstract.

This entry looks at the interaction between intellectual property law (specifically copyright and patents) and artificial intelligence.

Download the essay from SSRN at the link.

Kumar and Choudhury on Humans, Super Humans, and Super Humanoids: Debating Stephen Hawking's Doomsday AI Forecast @meisshaily

Shailendra Kumar, Sikkim University, and Sanghamitra Choudhury, University of Oxford, are publishing Humans, Super Humans, and Super Humanoids: Debating Stephen Hawking’s Doomsday AI Forecast in AI Ethics (2022). Here is the abstract.

This manuscript examines prominent English theoretical physicist Stephen Hawking’s doomsday AI (Artificial Intelligence) predictions, in which he claims that once AI becomes sophisticated enough to outsmart humans in the future, it may pose existential threats to ordinary humans. He felt that ordinary people might feel outmoded, putting their entire survival in jeopardy. Hawking’s forecast of doomsday AI is compared to another widely accepted basic concept, according to which neither the most intelligent nor the strongest will survive, but only those who can adapt to change will survive. This phrase on adaptability is frequently misattributed by Charles Darwin. Although, when we examine Darwin’s work, we discover that one of his letters reveals that Darwin believed adaptability to the environment to be one of the fundamentals of survival. While AI may represent an astringent threat to humanity’s survival in the future, this viewpoint ignores the reality that it is the ability to adapt to change, resilience, and self-awareness that distinguishes humans as a distinct species. This research additionally claims that due to AI’s addictive nature, and the potential to render humans overly reliant on it, AI would cause them to lose their extremely unique ability to adapt. According to the research, while AI can engender culturally smart humans, it additionally has the potential to adversely impact the intelligence of a human race that will be plenarily reliant on AI for its basics. It is also important that we consider the dangers to AI from humans as well, rather than starting a one-sided debate about perceiving AI as a threat to humans. This research is unique in the sense that it invokes a very interesting debate related to the uncertainties raised for humankind after the advent of artificial intelligence.

Download the essay from SSRN at the link.

Maliha, Gerke, Parikh, and Cohen on Spurring Growth in AI By Finding a New Approach to Legal Liability @George_Maliha @gerke_sara @CohenProf @HarvardBiz @DickinsonLaw @Harvard_Law

George Maliha, Sara Gerke, Dickinson Law, Ravi B. Parikh, and I. Glenn Cohen, Harvard Law School are publishing To Spur Growth in AI, We Need a New Approach to Legal Liability in the Harvard Business Review (2021). Here is the abstract.

The existing liability system in the United States and other countries can’t handle the risks relation to AI. That’s a problem because it will slow AI innovation and adoption. The answer is to revamp the system, which involves revising standards of care, changing who compensates parties when inevitable accidents occur via insurance and indemnity; changing default liability options; creating new adjudicators; and revamping regulations to prevent mistakes and exempt certain kinds of liability.

The full text is not available for download from SSRN.