Legislators in Congress, along with state and local governments, are creating AI laws. This year, California adopted a law regulating chatbots, and Illinois recently approved an AI law affecting video interviewing. Congress is also considering a law requiring firms to fix algorithmic bias. HR will feel the impacts from some of these new laws. Despite this regulatory uncertainty, businesses are adopting AI technology at a brisk pace, according to a new study by Oracle and Future Workplace LLC.

Back in 2010, the privacy of big data -- personal user data specifically -- was already considered if not a dying-out concept then, shall we say, an endangered species. At that time, a big chunk of the discussions on the topic were positive, in the spirit of'the more open-source and connected the digital world grows, the better'. Nine years later, the general sentiment could not have been more different. Today, data privacy, security, and governance are major concerns, propelled by the rising governmental regulations. More than a hundred countries have various data privacy laws, the EU General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) being among the most prominent of them.

Gartner, Inc. today revealed its top strategic predictions for 2020 and beyond. Gartner's top predictions examine how the human condition is being challenged as technology creates varied and ever-changing expectations of humans. "Technology is changing the notion of what it means to be human," said Daryl Plummer, distinguished vice president and Gartner Fellow. "As workers and citizens see technology as an enhancement of their abilities, the human condition changes as well. CIOs in end-user organizations must understand the effects of the change and reset expectations for what technology means."

The concept of dark data sounds ominous, even sinister. But it is very important in the technology world. "To make it more relatable, dark data is like all of the photos on your devices," said Sky Cassidy, who is the CEO of MountainTop Data. "Most of them will never be used or even viewed again, but they are there. So as for dark data, it's all the information companies collect in their regular business processes, don't use, have no plans to use, but will never throw out.

Even though "de-identified," patient data can still sometimes be revealed by attackers. The focus of this program will include technical and policy measures that might better protect the privacy of electronic health records (EHRs) when they are used for machine learning. The approach to be discussed includes multivariate models computed in a decentralized fashion for a large clinical data research network, and how to collaborate in developing sound methods to protect patient privacy. Sharing according to patient instructions is one important way to conduct responsible machine learning. This presentation will include results from a recent study on patient-controlled electronic healthcare data sharing.

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that it is now adding the first elements of cognitive features within its AI expert agent. The agent now includes feedback features, i.e. "thumbs up" and "thumbs down", that work with the artificial neural network mechanism to learn and improve answers' accuracy and their relationship to the topic. The user feedback is fed into the Avant! RNN (Recurrent Neural Network), which synthesizes data from various information sources, weighing and comparing the feedback to the answer context to provide the best, most accurate answers.

For years, the business world has been enraptured by the concept of big data. But the era of big data will not last forever. In fact, the replacement knocking on the door is one that might sound counter-intuitive: small data. Conventional wisdom suggests that data aggregation will only increase in size and scale. With an ever-expanding consumer base with evolving tastes, and an explosion of connected devices and digital channels to create and extract data, how could it not? But as we reach the point where most forward-looking businesses have "digitally transformed" and successfully used the vast amount of data to their advantage, the foundation is shaking.

If you were to start a law firm today, leveraging all available technology and new ways of thinking - how would you do it? That, among other questions, is what I asked Piotr Spaczyński, managing partner of SSW, the only independent law firm from Poland, and one just shortlisted in the prestigious Innovative Lawyers ranking by the Financial Times. The legal industry - conservative, slow-moving and based on precedent - is a fascinating case study for the disruptive impact of AI and automation. Piotr and I discussed what the legal AI stack of the future might look like, from the use of algorithms to analyze contracts to predicting the outcome of litigation under particular judges. So when the legal system becomes increasingly standardized, contracts more automated and legislation akin to computer code - will the best lawyers of the future be less like Harvey Specter and more like Bill Gates?

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted the rapidly increasing expectations regarding the business benefits of AI and the low incidence of business gains so far; the increasing adoption of AI by businesses worldwide and the challenges in its implementation and integration with exiting processes; and how companies respond to AI by both reducing and training their workforce. The report estimated the combined AI spending from large-capitalization financial institutions at more than $150 billion annually. In the past two years, BB&T Corp. has embraced a digital-first approach to plugging in artificial intelligence and robotics into its back-office, customer-service and compliance operations. That should eclipse the 1,281 companies that raised $16.8 billion in all of 2018, according to the 3Q 2019 PitchBook-NVCA Venture Monitor [VentureBeat] "The values of AI designers or the purchasing administrators are not necessarily the values of the bedside clinician or patient. Those value collisions and tensions are going to be sites of significant ethical conflict"--Danton Char, assistant professor of anesthesiology, perioperative and pain medicine at Stanford University Medical Center "I don't yet fully subscribe to the view that the machine is completely autonomous and operates without human intervention. At least as of today, and probably the foreseeable future, the AI machine is just another tool"--Andrei Iancu, director of the U.S. Patent and Trademark Office, speaking about recognizing AI systems that develop new products as inventors "If leaders think about AI like a balance sheet, then they're missing the point. You need to get emotional attachment to the disruptive nature that it can bring"--Werner Boeing, CIO, Roche Diagnostics "The major upside for us is driving more engagement….Right behind that is the ability to monetize this and generate incremental revenue for us and for our clubs….This data's going to be hugely valuable"--Dave Lehanski, NHL senior vice president of business development and global partnerships

The 30-person company uses machine learning and other technology to map a company's sensitive data, apply regulatory obligations, and automate …