Modern societies are formed on concepts of free will and self-governance. Societal authority is put on opinions and feelings of people. While people have common ideas around universal concepts like voter knows best, customer is always right etc., subconsciously, free will itself is influenced by a lot of data points - cultural, spiritual, personal etc. In this age, AI can automatically manage and manipulate these data points at a massive scale- in effect, hacking human feelings, attitudes, beliefs, behaviours and in essence, changing the very fibre of society itself. AI with deep learning neural networks improve themselves by learning on more and more data and establishing complex associations and patterns.

Advances in artificial intelligence (AI) have created new threats to the privacy of people's health data, a new University of California, Berkeley, a new study shows. Led by University of California Berkeley engineer Anil Aswani, the study suggests current laws and regulations are nowhere near sufficient to keep an individual's health status private in the face of AI development. The research was published Dec. 21 in the JAMA Network Open journal. The findings show that by using artificial intelligence, it is possible to identify individuals by learning daily patterns in step data, such as that collected by activity trackers, smartwatches and smartphones, and correlating it to demographic data. The mining of two years' worth of data covering more than 15,000 Americans led to the conclusion that the privacy standards associated with 1996's HIPAA (Health Insurance Portability and Accountability Act) legislation need to be revisited and reworked.

Artificial intelligence (AI)--and the big data business models underpinning it--is disrupting how we live, work, do business, and govern. The economic, social, and environmental benefits of AI could be significant, such as improved health diagnostics, self-driving vehicles that increase road safety, and enhanced fraud prevention. However, AI also brings social risks, including new forms of discrimination arising from algorithmic bias, labor impacts associated with the displacement of workers by machines, and the heightened potential of surveillance using tracking devices and facial recognition tools. Artificial intelligence (AI)--and the big data business models underpinning it--is disrupting how we live, work, do business, and govern. The speed, complexity, and novelty of these disruptions imply that similarly innovative approaches to responsible business will be needed for us to realize the full potential of AI to create long-term value.

I have written before about the Luddites and how autonomous intelligence might unleash a neo-Luddite movement. It would appear that day may have indeed arrived. There are reports from Arizona that autonomous vehicles are being vandalized. Since 2017, there have been almost two dozen acts of sabotage against driverless vehicles operated by Waymo in the city of Chandler near Phoenix. One unidentified assailant slashed a van's tires, other people have thrown rocks at passing driverless vans.

Most of us are wondering about "what's next for AI in 2019 leading up to 2020?" Some of us might be wondering about "Singularity". Others are still thinking, "AI is all hype and no action" (Although this subset is on the decline). All valid questions to ponder upon. Artificial Intelligence has made substantial progress in 2018.

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Artificial intelligence created by Intel is to be used in cameras to detect poachers entering wildlife reserves and alert park rangers before they can kill endangered animals. The technology firm has announced its software is to be used in TrailGuard AI cameras that are capable of object detection and image classification remotely, and which can alert rangers should a person or vehicle be detected. The cameras are to be distributed around wildlife reserves by non-profit organisation Resolve, and have been built in partnership with the National Geographic Society and the Leonardo DiCaprio Foundation. They will be deployed in African wildlife reserves and throughout Southeast Asia in early 2019, the technology firm said. The pencil-sized devices contain a long-life battery, which can last up to a year and a half without needing to be charged.

It is predicted that, by 2025, robots and machines driven by artificial intelligence (AI) will perform half of all productive functions in the workplace – companies already use robots across many industries, but the sheer scale is likely to prompt some new moral and legal questions. Machines currently have no protected legal rights but, as they become more intelligent and act more like humans, will the legal standards at play need to change? To answer this question, we need to take a good hard look at the nature of robotics and our own system of ethics, tackling a situation unlike anything the human race has ever known. The state of robotics at the moment is so comparatively underdeveloped that most of these questions will just be hypotheticals that will be nearly impossible to answer. Can, and should, robots be compensated for their work, and could they be represented by unions (and, if so, could a human union truly stand up for robot working rights, or would there always be an inherent tension)?

Artificial intelligence is a moving target. Here's how to take better aim. Artificial intelligence (AI) seems to be everywhere. We experience it at home and on our phones. Before we know it--if entrepreneurs and business innovators are to be believed--AI will be in just about every product and service we buy and use. In addition, its application to business problem solving is growing in leaps and bounds. And at the same time, concerns about AI's implications are rising: we worry about the impact of AI-enabled automation on the workplace, employment, and society.

Even as artificial intelligence (AI) is forecast to exceed human capabilities across a range of industries it is also predicted to augment human labor. In finance, AI is already helping financial advisors augment financial planning while enhancing investment strategy. And in medicine, AI diagnostics systems have proven to be far more accurate than doctors in diagnosing heart disease and cancerous growths. In fact, McKinsey lists some 400 use cases representing $6 trillion in value across 19 industries in which AI will augment human work. What will the impact of AI be on the nature of government?