If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Last year, I participated in a discussion of The Human Use of Human Beings, Norbert Weiner's groundbreaking book on cybernetics theory. Out of that grew what I now consider a manifesto against the growing singularity movement, which posits that artificial intelligence, or AI, will supersede and eventually displace us humans. The notion of singularity – which includes the idea that AI will supercede humans with its exponential growth, making everything we humans have done and will do insignificant – is a religion created mostly by people who have designed and successfully deployed computation to solve problems previously considered impossibly complex for machines. They have found a perfect partner in digital computation, a seemingly knowable, controllable, machine-based system of thinking and creating that is rapidly increasing in its ability to harness and process complexity and, in the process, bestowing wealth and power on those who have mastered it. In Silicon Valley, the combination of groupthink and the financial success of this cult of technology has created a feedback loop, lacking in self-regulation (although #techwontbuild, #metoo and #timesup are forcing some reflection).
Worms, mammals, even bees do it. Every living thing on Earth replicates, whether that be asexually (boring) or sexually (fun). Robots do not do it: The machines are steely and very uninterested in reproduction. But perhaps they can learn. Scientists in a fascinating field known as evolutionary robotics are trying to get machines to adapt to the world, and eventually to reproduce on their own, just like biological organisms.
Lora Brugnaro says to think of her like a Weeble toy that constantly wobbles then falls down. She has cerebral palsy, which severely impacts her balance, and for years she has used a walker to help her stay upright while moving around. Unfortunately, she has found that walkers available on the market are cheap, unstable, and prone to flipping on rough surfaces, leaving her sprawled out on the floor of an MBTA station or in the middle of the street. She had even started considering using a wheelchair to avoid such situations. "I have felt for a very long time that the daily choice I made between safety and living with the freedom to move was an unnecessary choice predicated on poor design," she says.
AI systems are becoming more and more the norm as machine and deep learning gain ground -- especially within the data center and colocation markets. That said, artificial intelligence systems are only as good as their underlying mathematics and the data they are trained on. That's according to a new white paper from Alegion that explores the bias behind machine learning. AI systems and models are made up of algorithms and data, and the professionals who craft the models, etc., are largely in charge of underlying mathematics and data. According to the new Alegion white paper, when things go wrong with AI it's for one of two reasons: The Alegion report contends there are four different types of machine learning or AI systems bias.
With an anticipated 39.5 million domestic/household robots expected to be in our homes by 2021 (IFR, 2018), Cranfield University is calling for members of the public to comment on a survey launched to identify people's views on robot ethics. Dr Sarah Fletcher, Head of Cranfield University's Industrial Psychology and Human Factors research group who are managing the survey, said: "With the increasing ways in which robots and robotic systems are impacting on our everyday lives, it is important that we have ethical standards that are informed by public opinion. "While some of the scenarios in the survey may seem futuristic and far-fetched, they are potentially just around the corner as we have already seen a rapid rise in robot technology in domestic settings. Who would have thought 10 years ago that a robot could be vacuuming your floor or mowing your lawn?" The survey explores how comfortable people would be with various robot roles and responsibilities in six different scenarios to enable designers, developers and manufacturers to understand how people feel about accepting robots and AI into their everyday lives. Respondents of the survey so far have revealed that people remain sceptical about the roles they would feel comfortable handing over to domestic robots, with more than 60% believing there should be a limit to what a domestic robot should be allowed to do. M. Osman Tokhi, Professor at London South Bank University and Chair of the Ethics of Robots and Autonomous Systems sub-committee, said: "The robotics technology is advancing at a fast pace and as robots will continue to share the same environment with us in various sectors of life, new challenges and ethical issues are expected to emerge.
If you asked video game fans what an idealized, not-yet-possible piece of interactive entertainment might look like in 10 or even 20 years from now, they might describe something eerily similar to the software featured in Orson Scott Card's sci-fi classic Ender's Game. In his novel, Card imagined a military-grade simulation anchored by an advanced, inscrutable artificial intelligence. The Mind Game, as it's called, is designed primarily to gauge the psychological state of young recruits, and it often presents its players with impossible situations to test their mental fortitude in the face of inescapable defeat. Yet the game is also endlessly procedural, generating environments and situations on the fly, and allows players to perform any action in a virtual world that they could in the real one. Going even further, it responds to the emotional and psychological state of its players, adapting and responding to human behavior and evolving over time. At one point, The Mind Game even draws upon a player's memories to generate entire game worlds tailored to Ender's past.
AI has taken its space in all aspects of this digital world. Users become accustomed to experience the benefits of AI. Users get helped well and they are able to get their usual chores like alarm setting, reminders, playing music, etc, done by AI, getting things done simpler and saving the time to a great extent. AI creates expert systems and implements the intelligence of humans into machines. When it comes to AI in web development, it makes the web applications to analyse, observe and learn from the habits and the preferences of the users.
In 2013, Chieh Huang and others launched Boxed, an online wholesale retailer that quickly grew to over $100 million in annual sales--largely through automation. As the new system was being installed, one line worker asked Huang, "Are you still going to need me when that thing goes live?" The company managed to redeploy everyone and not lose a single staffer. "Automation is great for profits," Huang told Fortune, "but it's a real potential trouble area for society." Forbes estimates that automation can improve productivity by 25-38% and save larger companies millions every year.
Whether you operate as a service-based business or an eCommerce storefront, the notion of implementing Artificial Intelligence (AI) into your website may a discomfort. Machine learning algorithms have advanced to a point where the end-user simply cannot discern whether they are chatting with a sales representative or an AI while shopping. According to studies published by Venture Harbour, 85% of customer interactions will be handled without a human intermediary by 2020. This is followed by a statement from 80% of business leaders who expressed that they have already implemented AI into their companies in some capacity and have experienced productivity growth as a result. The data clearly shows that AI does impact everyday workflow for numerous companies across the globe.