Sophia, a robot granted citizenship in Saudi Arabia. In the U.S., corporations have been given rights of free speech and religion. Some natural features also have person-like rights. A new argument has laid a path for artificial intelligence systems to be recognized as people too – without any legislation, court rulings or other revisions to existing law. Legal scholar Shawn Bayern has shown that anyone can confer legal personhood on a computer system, by putting it in control of a limited liability corporation in the U.S. If that maneuver is upheld in courts, artificial intelligence systems would be able to own property, sue, hire lawyers and enjoy freedom of speech and other protections under the law.

I had the chance to interview my colleague at ArCompany, Karen Bennet, a seasoned engineering executive in platform technology, open and closed source systems and artificial intelligence technology. A former engineering lead from Yahoo!, and part of the original team who brought Red Hat to success, Karen evolved with the technological revolution, utilizing AI in expert systems in her early IBM days, and is currently laying witness to the rapid experimentation in machine learning and deep learning. Our discussions about the current state of AI have culminated into this article. It's difficult to navigate AI amidst all the hype. The promises of AI, for the most part, have not come to fruition. AI is still emerging and has not become the pervasive force that has been promised.

It's becoming ubiquitous and invisible,

Countries like America and China are leading the front in AI technology. However, many are still concerned at the thought of robots replacing us and the social stigma attached with the integration of AI in the legal industry. To better that understanding, we've decided to interview Dr Richard Cornes from the University of Essex, a constitutional lawyer and a psychoanalyst. In short, he's the perfect person to question the legitimacy of AI in the legal industry. "Psycho-analysis is described as the matrix of looking at the way things are and say why they're doing what they are doing. Now, I run the module on Understanding Judges at the University of Essex which primarily focus on my area of research: psycho-analysis to understand how judges think and how the law works."

In the U.S., corporations have been given rights of free speech and religion. Some natural features also have person-like rights. A new argument has laid a path for artificial intelligence systems to be recognized as people too – without any legislation, court rulings or other revisions to existing law. Legal scholar Shawn Bayern has shown that anyone can confer legal personhood on a computer system, by putting it in control of a limited liability corporation in the U.S. If that maneuver is upheld in courts, artificial intelligence systems would be able to own property, sue, hire lawyers and enjoy freedom of speech and other protections under the law. In my view, human rights and dignity would suffer as a result.

In the past 18 months, we have seen a huge rise in the interest of AI development and activation. Countries are developing national strategies, and companies are positioning themselves for the fourth industrial revolution. With this pervasive push of AI, comes also an increased awareness that AIs should act in the interest of a human - and this is not as trivial as one might think. This article provides an overview of several key initiatives that propose ways on approaching AI ethics, regulation and sustainability. As this is a fast evolving field, I aim to update this article regularly.

This article aims to assist general counsels in evaluating the risks posed by artificial intelligence with respect to their company by providing a working definition of artificial intelligence and means commonly employed to achieve it, by describing particular technical challenges posed by artificial intelligence and by identifying key questions general counsel should be able to answer about their company's reliance upon artificial intelligence.

In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018). This competition focuses on LJP which aims to predict the judgment results according to the given facts. Specifically, in CAIL2018 , we proposed three subtasks of LJP for the contestants, i.e., predicting relevant law articles, charges and prison terms given the fact descriptions. CAIL2018 has attracted several hundreds participants (601 teams, 1, 144 contestants from 269 organizations). In this paper, we provide a detailed overview of the task definition, related works, outstanding methods and competition results in CAIL2018.

CobbleStone's CLM platform provides powerful AI and ML to systematically analyze paper contracts and performs contract text extraction for improved contract oversight, proactive opportunity identification, and risk mitigation. CobbleStone Software, leaders in contract lifecycle management software, and a proud sponsor of ACC (Association of Corporate Council), is pleased to announce that they will showcase the benefits of Contract Insight's artificial intelligence (AI) and machine learning (ML) at the 2018 ACC Annual Meeting in Austin, TX, on October 21st-24th. CobbleStone's CLM platform provides powerful AI and ML to systematically analyze contracts originated by internal or external paper, and performs contract text extraction for improved contract oversight, proactive opportunity identification, and risk mitigation. "We're excited to introduce the next generation of contract lifecycle management solutions by providing our clients with a platform enabled with machine intelligence to optimize the user experience," said Bradford Jones, Director of Sales & Marketing at CobbleStone Software. "Legal, procurement, and compliance professionals finally have a solution that was built for them that includes groundbreaking technologies for end-to-end contract automation."

I had the chance to interview my colleague at ArCompany, Karen Bennet, a seasoned engineering executive in platform technology, open and closed source systems and artificial intelligence technology. A former engineering lead from Yahoo!, and part of the original team who brought Red Hat to success, Karen evolved with the technological revolution, utilizing AI in expert systems in her early IBM days, and is currently laying witness to the rapid experimentation in machine learning and deep learning. Our discussions about the current state of AI have culminated into this article. It's difficult to navigate AI amidst all the hype. The promises of AI, for the most part, have not come to fruition. AI is still emerging and has not become the pervasive force that has been promised.