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Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end – “Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human …
BBC: To prepare for a future where AI will likely disrupt entire industries, some say we’ll have to rethink how we educate future generations – “Estimates about how much of the workforce could be automated vary from about 9% to 47%. The consultancy McKinsey estimates up to 800 million workers globally could be displaced by …
Natural Questions: a Benchmark for Question Answering Research – “We present the Natural Questions corpus, a question answering dataset. Questions consist of real anonymized, aggregated queries issued to the Google search engine. An annotator is presented with a question along with a Wikipedia page from the top 5 search results, and annotates a long answer …
“In Talk to Books (Beta), when you type in a question or a statement, the model looks at every sentence in over 100,000 books to find the responses that would most likely come next in a conversation. The response sentence is shown in bold, along with some of the text that appeared next to the …
Bloomberg: “As companies from IBM to Samsung Electronics Co. to Halliburton Co. scramble to find the next great invention using artificial intelligence, they may hit a roadblock when trying to patent their ideas. The U.S. Patent and Trademark Office is making it increasingly difficult to obtain legal protections for inventions related to AI, a field …
Chen, Daniel L., Machine Learning and the Rule of Law (January 6, 2019). Computational Analysis of Law, Santa Fe Institute Press, ed. M. Livermore and D. Rockmore, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3302507 “Predictive judicial analytics holds the promise of increasing the fairness of law. Much empirical work observes inconsistencies in judicial behavior. By predicting judicial …
MIT Technology Review – Using historical data to train risk assessment tools could mean that machines are copying the mistakes of the past. “AI might not seem to have a huge personal impact if your most frequent brush with machine-learning algorithms is through Facebook’s news feed or Google’s search rankings. But at the Data for …
Chen, Daniel L., Judicial Analytics and the Great Transformation of American Law (October 14, 2018). Journal of Artificial Intelligence and the Law, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3306071 “Predictive judicial analytics holds the promise of increasing efficiency and fairness of law. Judicial analytics can assess extra-legal factors that influence decisions. Behavioral anomalies in judicial decision-making offer …
Ready Set Go…Wired – “Half of being human, give or take, is the work we do. Pick up a shift. Care for the sick. Fix the plumbing. Audition for a part. Sometimes it’s all we think about—and fret about, especially as technology comes for our jobs. Just search “future of” and autocomplete does the rest: …
Artificial Lawyer: “LawDroid, the legal bot developer, has now launched ATJ Bot, a voice operated legal aid assistant that initially will focus on giving help on uncontested divorces. The project has been backed by America’s main legal aid body, the Legal Services Corporation, plus West Tennessee Legal Services and the Tennessee Alliance for Legal Services, with …
Via Yahoo Finance as posted on ALM Legal Technology News: “In the Era of the Internet of Things, we’ve become (at least somewhat) comfortable with our refrigerators knowing more about us than we know about ourselves and our Apple watches transmitting our every movement. The Internet of Things has even made it into the courtroom …
Gizmodo: “…Inside many companies, automation doesn’t simply unfold as a top-down imperative. It can stem from random efficiency experiments or pilot programs initiated by employees who don’t always intend for their ideas to cascade into large-scale job loss. In some cases, management will ask a junior staff to spearhead an automation initiative (perhaps, some speculate, …
