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 law and ai


Artificial intelligence and Copyright law-the authorship quandary

#artificialintelligence

Artificial Intelligence (AI) is the simulation and augmentation of human intelligence demonstrated by machines. It has the potential to revolutionise the world and is set to become the most impactful human innovation in history. The first alternative is for the AI to be granted ownership. The next step is to explore the realm of attributing ownership to the developer of AI. This category shall include individuals who contributed to the creation and development of AI-generated works.


eLaw publishes a new book on Law and AI

#artificialintelligence

From deepfakes and disinformation to killer robots, surgical robots and AI lawmaking: AI (Artificial Intelligence) is changing our world. That raises the question whether this requires some form of regulation. This large volume (27 chapters, 600 pages) extensively covers law and AI from a multidisciplinary perspective. The book Law and Artificial Intelligence: Regulating AI and Applying AI in Legal Practice was published in the Information Technology and Law Series of TMC Asser Press and Springer, provides an in-depth overview of what is currently happening in the field of Law and AI. Contributors from different countries and different academic backgrounds discuss how AI could and should be regulated in the areas of public law, including constitutional law, human rights law, criminal law, and tax law, as well as areas of private law, including liability law, competition law, and consumer law.


April 2016 – Law and AI

#artificialintelligence

Two stories this past week caught my eye. The first is Nvidia's revelation of the new, AI-focused Tesla P100 computer chip. Introduced at April's annual GPU Technology Conference, the P100 is the largest computer chip in history in terms of the number of transistors, "the product of around 2.5 billion worth of research and development at the hands of thousands of computer engineers." Nvidia CEO Jen-Hsun Huang said that the chip was designed and dedicated "to accelerating AI; dedicated to accelerating deep learning." But the revolutionary potential of the P100 is dependent on AI engineers coming up with new algorithms that can leverage the full range chip's capabilities.