Artificial Intelligence is currently playing a significant role in our everyday life. Whether we're trying to classify plant species, Netflix viewing preferences or mortgage suitability, we depend on AI to handle it all for us. While having AI make everyday decisions for us is somewhat acceptable, using machines to determine guilt or innocence in court may seem a step too far. But the Estonian government doesn't think so. According to Wired, the Estonian Ministry of Justice has officially asked the country's chief data officer, Ott Velsberg, to design a robot judge.

This Q&A with Jake Frazier is based on the first of a series of interviews I'm conducting with thought leaders who take a unified governance approach to increasing the value of information to their businesses while driving down costs. Along with his role as senior managing director at FTI Consulting, Jake is a faculty member of CGOC, a founding member of the Electronic Discovery Reference Model (EDRM), a member of the Sedona Conference and an Advisory Cabinet Member of the Masters Conference. He has authored many articles and white papers on information governance issues and regularly addresses industry groups on the topic. For this article, I asked Jake about the new and complex challenges around the adoption of machine learning (ML) technologies in enterprises. ML offers business users an unprecedented opportunity to take advantage of the massive amount of data they are collecting.

Welcome to our Artificial Intelligence CMS Insights section, which provides some hot topics from CMS about artificial intelligence (AI). AI is opening up transformational opportunities in all areas of human activity, but at the same time poses unique risks for companies, governments and society as a whole. These opportunities and legal risks present a wide range of ethical, legal and regulatory challenges. The scope, speed and nature of the response to these challenges, will have a significant impact on the success of AI in contributing to prosperity in a manner that balances human well-being and economic growth. There are many questions that relate to AI including what is artificial intelligence?

Dogs have served alongside police officers for decades, sometimes even sacrificing their own lives in order to save their human partners. Robots are a fixture of law enforcement, too, most notably in bomb situations. But now, a police force in the United States has tested the capabilities of a robot dog for the first time -- and civil liberties experts are raising the alarm. According to documents obtained by the American Civil Liberties Union of Massachusetts, the Massachusetts State Police leased a Spot robot dog from Boston Dynamics for 90 days ending on November 5, 2019. In August, the organization filed a public records request for any documents relating to the agency's use of Spot, as well as any records relating to its "plans for, acquisition of, and/or use of robotics" since 2015.

As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies. "We are now seeing a particular emphasis on the humanities and how they interact with AI," said Russ Altman, Stanford professor of engineering and the faculty director of the AI100. The AI100 is project of the Stanford Institute for Human-Centered Artificial Intelligence. After the first meeting of the AI100, the group planned to reconvene every five years to discuss the status of the AI industry. The idea was that reports from those meetings would capture the excitement and concerns regarding AI technologies at that time, make predictions for the next century and serve as a resource for policymakers and industry stakeholders shaping the future of AI in society.

Long-time Slashdot reader clawsoon writes: Among Sunday's releases from the International Consortium of Investigative Journalists on leaked Chinese documents about the detention of Xinjiang Uighurs -- which they are calling the largest mass internment of an ethnic-religious minority since World War II -- is a section on detention by algorithm which "is more than a'pre-crime' platform, but a'machine-learning, artificial intelligence (AI), command and control' platform that substitutes artificial intelligence for human judgment...." "The Chinese have bought into a model of policing where they believe that through the collection of large-scale data run through AI and machine learning that they can, in fact, predict ahead of time where possible incidents might take place, as well as identify possible populations that have the propensity to engage in anti-state anti-regime action," reports James Mulvenon, director of intelligence integration at SOS International LLC, an intelligence and information technology contractor for several U.S. government agencies. "And then they are preemptively going after those people using that data." The Chinese government responded by calling the leaked documents "fake news."

Success in any area is often a combination of three things: talent, hard work and perseverance. For software-as-a-service (SaaS) company Darts-ip, all three were needed to grow a pioneering idea from a handful of people to a 300-strong organisation in just 13 years. The talent came in the form of two groups from very different industries. The service they wanted to offer, to make legal research as easy as possible, came from trademark lawyer and Darts-ip founder Jean-Jo Evrard. While working in Brussels and Paris for law firm NautaDutilh, Evrard was frustrated.

When it comes to the issue of managing drones (Unmanned Aircraft Systems, or UAS) the US Department of Justice wants Americans to know it's on the case. In 2015, the DOJ published what was meant to be a comprehensive policy governing how US Government departments and law enforcement use drones to take account issues such as privacy, law and the Constitution. Four years on and things have moved on a bit, prompting tweaks addressing more recent concerns, including misuse, access to airspace, and the cybersecurity of the drones themselves. Large parts of the 2015 policy and its 2019 update sound almost identical. On privacy, both policies limit departments gathering drone data that contains personally identifiable information (PII) to 180 days unless there's a specific reason to keep it longer.

Over the next decade, automation and artificial intelligence could throw 54 million Americans out of work. Here's everything you need to know: Why is automation a threat? Rapid technological advances are enabling machines to perform a growing number of tasks traditionally done by humans. Law firms now use artificial intelligence (AI) -- sophisticated computer programs that can learn from experience -- to conduct contract analysis, hunt for client conflicts, and even craft litigation strategy. McDon ald's is replacing drive-thru workers with order-taking AI, and cashiers with self-checkout kiosks.

After creating waves across startups, artificial intelligence (AI) seems to have now entered the doors of justice. The Chief Justice of India, SA Bobde, has recently said that the Supreme Court has proposed to introduce a system of AI which would help in better administration of justice delivery and constitution. The CJI also made it clear that the automation would not replace humans. He said that the judiciary would continue to rely on the knowledge and wisdom of judges and the deployment of an AI integration would help reduce the number of pending cases and improve the efficiency of the judicial system. "We propose to introduce, if possible, a system of artificial intelligence. There are many things which we need to look at before we introduce ourselves. We do not want to give the impression that this is ever going to substitute the judges," said the CJI at the Constitution Day function organised by the Supreme Court Bar Association.