Law
Tell This Bot About Your Experience of Harassment. It Might Actually Help.
Better Life Lab is a partnership of Slate and New America. Last summer, while psychological scientist Julia Shaw was visiting San Francisco with three other friends for July Fourth, inspiration struck. They had all been discussing the harassment-related firings at Uber. In some cases, complicity extended beyond the perpetrator to the human resource department: Instead of supporting the employees who came forward about the abuse, it dismissed or ignored them. Other tech companies followed the same old fashioned script: Societally, we tend to disbelieve, blame, or retaliate against victims of sexual harassment and abuse.
Data capitalism: How compliance provides competitive advantage for fintechs
Compliance with legislation is a basic condition for all businesses. However, few industries are as regulated as the financial sector. Since the financial crisis, the volume of regulations has grown exponentially, and market participants now find themselves operating in a minefield of various legal rules. The Fourth Anti-Money Laundering Directive, the revised Payment Services Directive and the MiFID II Directive and a range of other rules impose significant compliance requirements on banks and other financial service firms. Among the developments spawning from these new rules has been the growth of the regtech market, which is quickly displacing manual risk and compliance procedures with cutting edge technology such as artificial intelligence, machine learning and blockchain solutions.
Future of Work AI vs. Lawyer: I rest my case
A study conducted by legal AI platform LawGeex in consultation with law professors from Stanford University, Duke University School of Law, and the University of Southern California, pitted twenty experienced lawyers against an AI trained to evaluate legal contracts. Their 40 page report details how AI has overtaken top lawyers in accurately spotting risks in everyday business contracts. The human participants were made up of law firm associates, sole-practitioners, in-house lawyers and general counsel. The LawGeex AI was trained on NDA's using machine and deep learning technologies. To review five Non-disclosure agreements (NDA), a very common kind commercial document.
Tesla Blames Driver in Fatal Car Crash
On Wednesday, Tesla more explicitly assigned blame to the driver. "The crash happened on a clear day with several hundred feet of visibility ahead, which means that the only way for this accident to have occurred is if Mr. Huang wasn't paying attention to the road, despite the car providing multiple warnings to do so," a Tesla spokesman said in a statement. Earlier on Wednesday, San Francisco-based Minami Tamaki LLP announced in a statement that the family had retained its services and plans to file a wrongful-death lawsuit. The family appeared on local television on Tuesday night defending Mr. Huang's driving. "The firm believes Tesla's Autopilot feature is defective and likely caused Huang's death, despite Tesla's apparent attempt to blame the victim of this terrible tragedy," the law firm said in a statement.
Elon Musk says social media should be regulated to stop fake news
Billionaire tech mogul Elon Musk has joined the chorus of people calling for greater regulation of AI and social media. In a recent interview, Musk said social media has gone unchecked, despite its impact on'the public good'. His comments come as another Silicon Valley titan, Facebook CEO Mark Zuckerberg, has appeared in a pair of high-stakes hearings on Capitol Hill this week surrounding the firm's ongoing privacy scandal. Tesla boss Elon Musk called for greater regulation of artificial intelligence and social media during an interview with CBS This Morning on Wednesday. Musk said he believes that big tech should be subject to more government oversight.
Edgewater Wireless Unveils Artificial Intelligence Radar for WiFi
Edgewater Wireless aera access point products will offer A.I.R. as a standard feature to deliver the world's first intelligent, real-time device tracking within any network coverage zone. A.I.R. uses an in-real-time artificial intelligence engine to learn from and adapt to any network environment or coverage zone with no setup required by the network operator. A.I.R. relies on patent-pending advanced algorithms to detect, range and track any WiFi-enabled device without the expense of additional monitoring hardware and no additional demands on network throughput or performance. A.I.R.'s intelligence engine automatically learns and adapts to the physical location or floor plan of any WiFi environment โ with or without line of sight, and is accurate to within 6ft. Combined with the advanced features of Edgewater Wireless multi-channel WiFi3 including real-time, integrated Spectral Surveillance Architecture, Edgewater Wireless aera access point products with A.I.R. will give network operators accurate locationing of devices and their users physically moving through the network.
AI that studies CCTV to predict crime will be rolled out in India
AI that could thwart illegal activity by identifying criminals before they act is set to be rolled out in India. The aim of the Minority Report-style CCTV surveillance system is to prevent offences such as sexual assault by looking at the body language of people to predict what they are about to do. An Israeli security and AI research company will soon use AI to analyse the terabytes of data streamed from CCTV cameras in public areas in India. Crime-predicting AI that could thwart illegal activity by identifying it before it happens is rolling out in India. The partnership has been formed between Tel Aviv-based company Cortica Best Group in India, according to Digital Trends.
Incomplete Contracting and AI Alignment
Hadfield-Menell, Dylan, Hadfield, Gillian
We suggest that the analysis of incomplete contracting developed by law and economics researchers can provide a useful framework for understanding the AI alignment problem and help to generate a systematic approach to finding solutions. We first provide an overview of the incomplete contracting literature and explore parallels between this work and the problem of AI alignment. As we emphasize, misalignment between principal and agent is a core focus of economic analysis. We highlight some technical results from the economics literature on incomplete contracts that may provide insights for AI alignment researchers. Our core contribution, however, is to bring to bear an insight that economists have been urged to absorb from legal scholars and other behavioral scientists: the fact that human contracting is supported by substantial amounts of external structure, such as generally available institutions (culture, law) that can supply implied terms to fill the gaps in incomplete contracts. We propose a research agenda for AI alignment work that focuses on the problem of how to build AI that can replicate the human cognitive processes that connect individual incomplete contracts with this supporting external structure.
Tension between AI and personal rights a growing problem
Speaking at the Sorbonne in September 2017, French president Emmanuel Macron made clear his ambitions for Europe to become a global leader in the field of artificial intelligence (AI). The European Commission is presently working on a strategy on this and is set to deliver a communication on it in the coming months. But there is much uncertainty over how ambitions such as Macron's can be attained. Much will depend on how the European Court of Justice and member states interpret a number of key provisions of the General Data Protection Regulation (GDPR). This is the mammoth culmination of the European Union's five-year effort to make European data-protection law fit for the 21st century.
The world's most valuable resource is no longer oil, but data
A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era. These titans--Alphabet (Google's parent company), Amazon, Apple, Facebook and Microsoft--look unstoppable. They are the five most valuable listed firms in the world.