Torts Law



In-Stream Processing @CloudExpo @robinAKAroblimo #BigData #AI #BI #DX

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Data Nuggets in the Stream A retailer may do 100,000 POS credit card transactions per day. Opening more registers as soon as checkout volume starts to trend upwards makes customers happy. It may not be long until we have good enough AI (or at least pseudo-AI), and good enough voice recognition to replace human customer service workers, but right now nothing beats a knowledgeable employee with the authority to actually make things right for a customer who has gotten a defective product or poor service of some sort. If you're doing high-frequency stock buying and selling, making hundreds or thousands of trades per minute (or even per second in some cases), you must be able to process data and make decisions - or have a program that makes decisions - fast enough that the length of your connection to the stock exchange can make a noticeable difference in your profits -- which is pretty darn fast.


AI Helps Manufacturers Identify Product Defects – NVIDIA Developer News Center

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A California-based startup called Instrumental developed an intelligent AI inspection system to help manufactures identify product defects on the assembly line. Instrumental makes a hardware box that goes on the assembly line and takes a photo of every device that passes through and they recently announced their deep learning software called Detect which highlights units that appear defective or anomalous, giving our customers a significant edge in discovering and resolving product issues. Using TITAN X GPUs and cuDNN with the TensorFlow deep learning framework, they are able to process hundreds of units in seconds and identify the most interesting units to review. According to their blog, an engineer using Detect remotely caught an assembly process issue still in progress on the line and was able to inform the factory to correct it right away.


Tesla Filing Contradicts Elon Musk On Autopilot Crash

TIME

Apparently, a crash related to Tesla's autopilot feature was material, before it wasn't. The fatal accident, the first known case related to the autopilot feature, occurred 11 days before Musk and Tesla sold 2 billion shares in an offering on May 18. Musk told Fortune via email that the deadly crash wasn't "material" information that Tesla investors needed to know. The disclosure said that the company may face product liability claims due to "failures of new technologies that we are pioneering, including autopilot in our vehicles," adding that "product liability claims could harm our business, prospects, operating results and financial condition."


Society in the Loop Artificial Intelligence - Joi Ito's Web

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We might also make a system to allow people to interact with the Artificial Intelligence (AI) and test the ethics by asking questions or watching it behave. Karthik calls this process'lensing', of extracting the human perspective or lens of a domain expert and fit it to algorithms that learn from both the data and the extracted lens, all during training time. The second way would be for the machine to be trained by the public - society in the loop - in a way that the people felt that that the machine reliability represented fairly their, mostly likely, diverse set of values. If, for instance, the public felt that they had sufficient input into and control over the behavior of a self-driving car, could the public also feel that the public, or the government representing the public, was responsible for the behavior and the potential damage caused by a self-driving car, and help us get around the product liability problem that any company developing self-driving cars will face?


AI4J - Artificial Intelligence for Justice

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One day, filled with a mix of invited talks and presentations of peer-reviewed papers. Invited speaker Karl Branting The MITRE Corporation, USA Accepted papers (full, position and short) Sudhir Agarwal, Kevin Xu and John Moghtader Toward Machine-Understandable Contracts Trevor Bench-Capon Value-Based Reasoning and the Evolution of Norms Trevor Bench-Capon and Sanjay Modgil Rules are Made to be Broken Markus Fatalin Product Liability for Autonomous Systems in Europe Raghav Kalyanasundaram, Krishna Reddy P and Balakista Reddy V Analysis for Extracting Relevant Legal Judgments using Paragraph-level and Citation Information Niels Netten, Susan van Den Braak, Sunil Choenni and Frans Leeuw The Rise of Smart Justice: on the Role of AI in the Future of Legal Logistics Marc van Opijnen and Cristiana Santos On the Concept of Relevance in Legal Information Retrieval Livio Robaldo and Xin Sun Reified Input/Output logic - a position paper Olga Shulayeva, Advaith Siddharthan and Adam Wyner Recognizing Cited Facts and Principles in Legal Judgements Pieter Slootweg, Lloyd Rutledge, Lex Wedemeijer and Stef Joosten The Implementation of Hohfeldian Legal Concepts with Semantic Web Technologies Floris Bex, Joeri Peters and Bas Testerink A.I for Online Criminal Complaints: from Natural Dialogues to Structured Scenarios Robert van Doesburg, Tijs van der Storm and Tom van Engers CALCULEMUS: Towards a Formal Language for the Interpretation of Normative Systems Henry Prakken On how AI & law can help autonomous systems obey the law: a position paper Giovanni Sileno, Alexander Boer and Tom Van Engers Reading Agendas Between the Lines, an Exercise Bart Verheij Formalizing Correct Evidential Reasoning with Arguments, Scenarios and Probabilities


Society in the Loop Artificial Intelligence

#artificialintelligence

We might also make a system to allow people to interact with the Artificial Intelligence (AI) and test the ethics by asking questions or watching it behave. Karthik calls this process'lensing', of extracting the human perspective or lens of a domain expert and fit it to algorithms that learn from both the data and the extracted lens, all during training time. The second way would be for the machine to be trained by the public -- society in the loop -- in a way that the people felt that that the machine reliability represented fairly their, mostly likely, diverse set of values. If, for instance, the public felt that they had sufficient input into and control over the behavior of a self-driving car, could the public also feel that the public, or the government representing the public, was responsible for the behavior and the potential damage caused by a self-driving car, and help us get around the product liability problem that any company developing self-driving cars will face?


Society in the Loop Artificial Intelligence - Joi Ito's Web

#artificialintelligence

We might also make a system to allow people to interact with the Artificial Intelligence (AI) and test the ethics by asking questions or watching it behave. Karthik calls this process'lensing', of extracting the human perspective or lens of a domain expert and fit it to algorithms that learn from both the data and the extracted lens, all during training time. The second way would be for the machine to be trained by the public - society in the loop - in a way that the people felt that that the machine reliability represented fairly their, mostly likely, diverse set of values. If, for instance, the public felt that they had sufficient input into and control over the behavior of a self-driving car, could the public also feel that the public, or the government representing the public, was responsible for the behavior and the potential damage caused by a self-driving car, and help us get around the product liability problem that any company developing self-driving cars will face?


'The Good Wife' recap: Everything old is new again

Los Angeles Times

As we hurtle toward the end of "The Good Wife," Alicia asserts her independence and rejects the role of dutiful wife to Peter, while also going back and forth to court for a never-ending case involving a psychiatrist and an unmanned drone flying above his house. Alicia and Diane argue a Reese Dipple... As we hurtle toward the end of "The Good Wife," Alicia asserts her independence and rejects the role of dutiful wife to Peter, while also going back and forth to court for a never-ending case involving a psychiatrist and an unmanned drone flying above his house. Alicia and Grace both decide on new paths in life, Lucca gets a promotion, and Cary and Diane defend a father sued for defamation by a gun shop owner. Alicia and Grace both decide on new paths in life, Lucca gets a promotion, and Cary and Diane defend a father sued for defamation by a gun shop owner.


'The Good Wife' recap: The not-so-good wife?

Los Angeles Times

As we hurtle toward the end of "The Good Wife," Alicia asserts her independence and rejects the role of dutiful wife to Peter, while also going back and forth to court for a never-ending case involving a psychiatrist and an unmanned drone flying above his house. Alicia and Grace both decide on new paths in life, Lucca gets a promotion, and Cary and Diane defend a father sued for defamation by a gun shop owner. Alicia and Grace both decide on new paths in life, Lucca gets a promotion, and Cary and Diane defend a father sued for defamation by a gun shop owner. Because he's admitting this now, Fox can't force Marissa to testify, and Diane tells Fox to leave Marissa alone.