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ANALYSIS: How will insurance evolve in the age of AI? IOL Personal Finance

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Should Elon Musk's robot-surgeon start inserting electrodes into human brains to connect humans and computers via a high-bandwidth brain-machine? What exactly are the implications for medical insurance? Should a self-driving flying taxi crash and kill civilians? These are the questions our CEO, Lizé Lambrechts, is asking. The insurance industry is developing new ways to assess and underwrite risk as artificial intelligence (AI) and automation advance.


Surveillance cameras in parts of Pennsylvania use hackable Chinese tech and can recognize faces

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Their lifeless eyes peer from building facades, lampposts and streetlight poles. They never sleep, never even blink. And now, enabled by advances in computing power and artificial intelligence, surveillance cameras can do more than just watch. They can recognize, and they can remember. The district attorney for Pennsylvania's second-most-populous county has assembled a network of advanced surveillance cameras in and around Pittsburgh and has enlisted colleagues in four surrounding counties to extend its reach into their jurisdictions.


Deepfake evidence so realistic 'innocent people will go to jail' warns expert

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Deepfake material including fabricated evidence will become so realistic it will land innocent people in jail, an expert has warned.Shamir Allibhai, CEO of video verification company Amber, believes content including CCTV and voice recordings will be subject to gross manipulation. He spoke amid alarming concerns over deepfake technology raising eyebrows online, including a recent viral video of comedian Bill Hader morphing into actor Tom Cruise.And Shamir warns it is only a matter of time before the technology creeps its way into the global judicial system.He told Daily Star Online: "Initially, deepfakes will be manipulations of existing audio/video evidence, such as that from CCTV, voice recorders, police body cams, and bystanders' cell phones. "Humans have notoriously weak hearing as compared to our sight: I would bet that we get fooled by fake audio first. "It is also much easier to create believable fake audio than it is to create believable fake video. "In the future, video will be generated from scratch, with no basis in actual footage."What's


What leaders need to know about AI

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Organizations today are focused on identifying avenues to introduce AI into daily tasks and deliverables. While the common perception is that it creates a sense of insecurity among employees, contrary to this belief, employees are in fact more receptive and ready to deploy AI into their work, a study by Dale Carnegie reveals. During a roundtable discussion on "Preparing people for the Human Machine Partnerships of the future," conducted by Dale Carnegie in New Delhi, experts explored ways in which industry leaders can incorporate AI technology into their HR Tech, performance feedback systems, upskilling initiatives, etc. The panel discussion was led by Dale Carnegie representatives including Pallavi Jha, MD & Chairperson, Dale Carnegie of India; Mark Marone, Director - Research & Thought Leadership, Dale Carnegie and Associates; Juliette Dennett, Managing Director, Dale Carnegie Northern England; and Jordan Wang, Managing Director New South Wales, Dale Carnegie Australia. The survey that saw participation from 3,846 respondents across 13 countries, aimed to assess the readiness of the global workforce to accept AI in their work, feedback systems, skilling needs, etc., highlighted that 42 percent of the organizations globally are already using AI in one form or the other.


Machine Learning In Healthcare: All You Need To Know Robots.net

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If you want to get into your doctor's bad books, turn up to your next appointment having preemptively diagnosed yourself via Google. If there's one thing that annoys healthcare professionals, it's patients thinking that computers can do their job as well as them. Some physicians even have signages in their waiting rooms stating that. Algorithms aren't going to replace our doctor any time soon. However, there's a lot of machine learning in healthcare that can help him diagnose you faster and more efficiently.


Canopius taps Arturo's AI-powered tech to improve risk management

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Specialty re/insurer Canopius has partnered with technology start-up Arturo on artificial intelligence (AI) and deep-learning property analytics. The integration of Arturo's AI-powered technology will enable Canopius to gain access to the physical property characteristic and predictive analytics using the latest satellite, aerial, and ground-level data. As a result, Canopius will be able to make more informed and differentiated pricing decisions at the point of underwriting. Canopius chief digital officer Marek Shafer said: "Arturo's, AI-powered image analytics capability is hugely impressive. Canopius is excited to be harnessing this pioneering technology, which will help to fine-tune our risk selection process and improve point-of-sale underwriting."


What's the best way for the Pentagon to invest in artificial intelligence?

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A deep dive into the numbers shows an early emphasis on basic research. The Defense Advanced Research Projects Agency's budget request includes $138 million for advanced land systems technology, up from $109 million in fiscal 2019. That program includes research into urban reconnaissance and AI-driven subterranean operations. DARPA's budget also includes $10 million for the Highly Networked Dissemination of Relevant Data Project, a situational awareness tool, as well as $161 million for the AI Human Machine Symbiosis Project, up from $97 million.


How to Compete With Technology in the Age of Automation

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As technology, including robots, artificial intelligence, machine learning, and other forces change the nature of work, employees will need new skills to adapt to shifting roles. Research firm Gartner predicts that employees who regularly update their skill sets and invest in new training will be more valued than those with experience or tenure. But it's not going to be easy. The World Economic Forum's "Future of Jobs 2018" report estimates that, by 2022, more than half (54%) of employees will require significant skills updating or retraining. More than one-third (35%) will need about six months to get up to speed, while nearly one in five will require a year or more of additional training.


Lessons From Implementing AI In A People Business

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Charles Brayne is EY's UK Chief Tax Innovation Officer and Partner and has a dual role. On the one hand, he works with clients to help them adopt new tax technologies and on the other, he oversees the implementation of AI technologies within EY's own tax business. Meanwhile, as EY's UK Chief Tax Data Scientist, Harvey Lewis works directly with tax and law professionals to create and deliver new AI tools and applications, as well as provide strategic oversight for their automation projects. In this keynote, Charles and Harvey discuss EY's lessons from implementing AI within their own organisation. With flagship shows in San Francisco, London, New York, Munich, Hong Kong, Singapore, and Cape Town, 2019 will see over 30,000 delegates from businesses globally joining the AI revolution through The AI Summit events. The AI Summit series uniquely has the support of tech's elite, with our 2019 Industry Partners featuring Agorai, AWS, IBM Watson, Microsoft, Oracle, Google, HCL, Publicis Sapient, Genpact, Intel alongside 300 sponsors and partners.


Deep learning AI may identify atrial fibrillation from a normal rhythm ECG - Times of India

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Although early and requiring further research before implementation, the findings could aid doctors investigating unexplained strokes or heart failure, enabling appropriate treatment. Researchers have trained an artificial intelligence model to detect the signature of atrial fibrillation in 10-second electrocardiograms (ECG) taken from patients in normal rhythm. The study, involving almost 181,000 patients and published in The Lancet, is the first to use deep learning to identify patients with potentially undetected atrial fibrillation and had an overall accuracy of 83%. Atrial fibrillation is estimated to affect 2.7–6.1 million people in the United States and is associated with increased risk of stroke, heart failure and mortality. It is difficult to detect on a single ECG because patients' hearts can go in and out of this abnormal rhythm, so atrial fibrillation often goes undiagnosed. Dr Paul Friedman, Chair of the Department of Cardiovascular Medicine, Mayo Clinic, USA, says, "Applying an AI model to the ECG permits detection of atrial fibrillation even if not present at the time the ECG is recorded.