Companies that take the time to meet with app developers are going to have a number of questions that need answering. Many of these questions are centered around artificial intelligence. Now that AI is commonly used by app developers, businesses of all sizes are doing their best to learn more about the benefits it can provide. What these businesses may not be aware of is the role that artificial intelligence will play in various criminal investigations. App developers who are truly experienced will let their clients know more about what is taking place but a business must make sure that they are on the right side of the law.

Millions of security cameras become equipped with "video analytics" and other AI-infused technologies that allow computers not only record but "understand" the objects they're capturing, they could be used for both security and marketing purposes, the American Civil Liberties Union (ACLU) warned in a recent report,"The Dawn of Robot Surveillance." As they become more advanced, the camera use is shifting from simply capturing and storing video "just in case" to actively evaluating video with real-time analytics and for surveillance. While ownership of cameras is mostly under decentralized ownership and control the ACLU cautioned policymakers to be proactive and create rules to regulate the potential negative impact this could have. The report also listed specific features that could allow for intrusive surveillance and recommendations to curtail potential abuse. The organization warned legislators to be wary of technologies such as human action recognition, anomaly detection, contextual understanding, emotion recognition, wide-area surveillance, and video search and summarization among other changes in camera technology.

More and more organizations are beginning to use or expand their use of artificial intelligence (AI) tools and services in the workplace. Despite AI's proven potential for enhancing efficiency and decision-making, it has raised a host of issues in the workplace which, in turn, have prompted an array of federal and state regulatory efforts that are likely to increase in the near future. Artificial intelligence, defined very simply, involves machines performing tasks in a way that is intelligent. The AI field involves a number of subfields or forms of AI that solve complex problems associated with human intelligence--for example, machine learning (computers using data to make predictions), natural-language processing (computers processing and understanding a natural human language like English), and computer vision or image recognition (computers processing, identifying, and categorizing images based on their content). One area where AI is becoming increasingly prevalent is in talent acquisition and recruiting.

Benefitfocus, Inc. (BNFT), a leading cloud-based benefits management platform and services provider, today announced it will present findings and recommendations from its recent Consumer Benefits Coverage Index report at the SHRM Annual Conference & Exposition. The conference is the largest gathering of human resources (HR) professionals, attracting over 18,000 attendees in Las Vegas from June 23-26, 2019. Based on a sample of one million consumers on the Benefitfocus platform which serves over 25 million individuals, the Consumer Benefits Coverage Index is a measure of how well the typical American's employee benefits portfolio aligns with their expected coverage needs. Co-presenting from Benefitfocus will be Cindi Van Meir, Director of Brand Marketing and Misty Guinn, Director of Benefits & Wellness. The session takes place on the opening day of the conference, Sunday, June 23, 2019, from 4:20-4:50 PM in the HR Technology Solutions Theater in the Las Vegas Convention Center.

Sustainable Supply Chain (SSC) management aims at integrating economic, environmental and social goals to assist in the long-term planning of a company and its supply chains. There is no consensus in the literature as to whether social and environmental responsibilities are profit-compatible. However, the conflicting nature of these goals is explicit when considering specific assessment measures and, in this scenario, multi-objective optimization is a way to represent problems that simultaneously optimize the goals. This paper proposes a Lagrangian matheuristic method, called $AugMathLagr$, to solve a hard and relevant multi-objective problem found in the literature. $AugMathLagr$ was extensively tested using artificial instances defined by a generator presented in this paper. The results show a competitive performance of $AugMathLagr$ when compared with an exact multi-objective method limited by time and a matheuristic recently proposed in the literature and adapted here to address the studied problem. In addition, computational results on a case study are presented and analyzed, and demonstrate the outstanding performance of $AugMathLagr$.

Those discussions have focused on data collection, experimental design, and interventions in modeling. But we argue that we ought to first understand the frameworks of ethics that are being used to evaluate the fairness and justice of algorithmic systems. Here, we begin that discussion by outlining deontological ethics, and envision a research agenda prioritized by it. Due to the sheer global reach of machine learning and NLP applications, they are empowered to impact societies (Hovy and Spruit, 2016) - potentially for the worse. Potential harms include exclusion of communities due to demographic bias, overgeneralization of model predictions to amplify bias or prejudice, and overstepping privacy concerns in the pursuit of data and quantification (Mieskes, 2017).

Fox News Flash top headlines for June 13 are here. Check out what's clicking on Foxnews.com Amazon's Alexa devices are recording children without their consent, in violation of laws in at least eight states, according to a lawsuit filed in Seattle. "Alexa routinely records and voiceprints millions of children without their consent or the consent of their parents. This practice violates California law, which prohibits the recording of oral communications without the consent of all parties to the communication," a complaint filed Tuesday on behalf of an 8-year-old boy in California Superior Court states. "This prohibition recognizes the unique privacy interest implicated by the recording of someone's voice.

Artificial intelligence (AI) has reached a crescendo in business conversation. The technology is on the tip of the tongue for so many--from early stage start-ups to established global enterprises--because the technology is a powerful addition to any company. According to one report, 61 percent of companies implemented AI in their business in 2017. For most of these businesses, the technology works in the background to make sense of the massive stores of data the companies collect: The AI assists (by managing the data) and augments (by augmenting human analytical competencies). To become an AI-fueled organization--one that has a clear edge over competition--the AI should also become autonomous (by taking action without human intervention).

If you consider Google is the leader globally in artificial intelligence, DeepMind is their crown jewel. When they moved the DeepMind Health unit, the healthcare subsidiary, into their main company -- that broke a pledge that'data will not be connected to Google accounts' -- you knew Google was cutting corners. Bigger than the Department of Justice going after Google for antitrust is the harm DeepMind could do to the future of artificial intelligence. They are arguably the leader in deep learning. The choices they make will decide many things about the fate of humanity in an AI-centric world.

The Diet enacted a revised aviation law Thursday that increases punishments for pilots found to have flown under the influence of alcohol or drugs following a series of drinking-related incidents involving Japanese airlines. Under the legislation, which will take effect in stages within one year of its official announcement, the penalty for drinking and flying has been raised from a maximum one-year jail term or ¥300,000 fine to a sentence of up to three years or a ¥500,000 fine. Japanese airlines have already tightened drinking rules, introducing mandatory Breathalyzer tests and relieving pilots of their duties if even a very low level of alcohol is detected. Those flying private planes, however, are not subject to the same checks. The legislation also seeks to improve aviation safety ahead of the intended mid-2020 delivery of the Mitsubishi Regional Jet, Japan's first homegrown commercial passenger jet.