Should we believe headlines claiming nearly half of all jobs will be lost to robots and artificial intelligence? We think not, and in a newly released study, we explain why. Headlines trumpeting massive job losses have been in abundance for five or so years. Most come from a common source. It is a single study, conducted in 2013 by Oxford University's Carl Benedict Frey and Michael Osborne.

Then it was your phone. Now governments in Australia want you to use facial verification to access government services, take public transport and even for your private viewing. Last month the joint standing committee on intelligence and security told the government it needed to rethink its plans for a national facial verification database built off people's passport and driver's licence photos. It said there weren't strong enough safeguards for citizens' privacy and security built into the legislation. Despite the concerns, Australian governments and agencies have come up with some creative reasons to justify the use of facial recognition and sell it to the public.

We've been marketing AI as a key differentiator for nearly five years at Dynatrace. Problem is, these days everyone else is too – making it even harder to figure out if your message is getting through. And, to make matters worse, the technical audience we market to are skeptical of marketing jargon, which means, no matter what us marketers say – they probably won't believe it anyway. When the software and product(s) they've been working with for years operate "so well" and gets the business from A to B. That's why it's so easy to dismiss new technologies today. Companies are skeptical and resistant to change.

The MIT Stephen A. Schwarzman College of Computing (SCC) will reorient the Institute to bring the power of computing and artificial intelligence to all fields at MIT, and to allow the future of computing and AI to be shaped by all MIT disciplines. To support ongoing planning for the new college, Dean Melissa Nobles invited faculty from all 14 of MIT's humanistic disciplines in the School of Humanities, Arts, and Social Sciences to respond to two questions: As Nobles says in her foreword to the series, "Together, the following responses to these two questions offer something of a guidebook to the myriad, productive ways that technical, humanistic, and scientific fields can join forces at MIT, and elsewhere, to further human and planetary well-being." The following excerpts highlight faculty responses, with links to full commentaries. The excerpts are sequenced by fields in the following order: the humanities, arts, and social sciences. "The advent of artificial intelligence presents our species with an historic opportunity -- disguised as an existential challenge: Can we stay human in the age of AI? In fact, can we grow in humanity, can we shape a more humane, more just, and sustainable world? With a sense of promise and urgency, we are embarked at MIT on an accelerated effort to more fully integrate the technical and humanistic forms of discovery in our curriculum and research, and in our habits of mind and action."

The MIT Stephen A. Schwarzman College of Computing (SCC) will reorient the Institute to bring the power of computing and artificial intelligence to all fields at MIT, and to allow the future of computing and AI to be shaped by all MIT disciplines. To support ongoing planning for the new college, Dean Melissa Nobles invited faculty from all 14 of MIT's humanistic disciplines in the School of Humanities, Arts, and Social Sciences to respond to two questions: As Nobles says in her foreword to the series, "Together, the following responses to these two questions offer something of a guidebook to the myriad, productive ways that technical, humanistic, and scientific fields can join forces at MIT, and elsewhere, to further human and planetary well-being." The following excerpts highlight faculty responses, with links to full commentaries. The excerpts are sequenced by fields in the following order: the humanities, arts, and social sciences. "The advent of artificial intelligence presents our species with an historic opportunity -- disguised as an existential challenge: Can we stay human in the age of AI? In fact, can we grow in humanity, can we shape a more humane, more just, and sustainable world? With a sense of promise and urgency, we are embarked at MIT on an accelerated effort to more fully integrate the technical and humanistic forms of discovery in our curriculum and research, and in our habits of mind and action."

We've seen a smart arm bracelet that can predict nightly seizures, but now a pair of researchers have created something even more promising: an AI system that can predict epileptic seizures with 99.6-percent accuracy. Even better, it can do so up to an hour before they occur. As IEEE Spectrum reports, that gives people enough time to prepare for the attack by taking medication. Around 50 million people around the world currently have epilepsy, according to the World Health Organization, and 70 percent of those patients can control their seizures with medication. While it's not a complete fix, the new AI system, developed by Hisham Daoud and Magdy Bayoumi of the University of Louisiana at Lafayette, is a major leap forward from existing prediction methods.

With Uber and Lyft recently announcing large quarterly losses, it's clear they have to make serious changes to reach profitability and even stay in business. One potential path to survival is to replace their biggest operational expense, the human driver, with a fully autonomous fleet. Autonomous vehicles (AV) will save Uber and Lyft (and other companies) in addition to making our roads safer. According to the Association for Safe International Road Travel, globally, "Nearly 1.25 million people die in road crashes each year, on average 3,287 deaths a day." This is equivalent to wiping out the entire population of San Jose every year.

For decades, the necessary technology tools have been available to generate more and more data, as it relates to various processes in construction such as project management, scheduling, job costing, and more. The challenge is, with the influx of data, in the last few years, it has become more difficult to use that information well. "It hasn't been centrally stored and there hasn't been computing capability, even if the information was centrally stored," explains Dan Patterson, chief design officer, InEight, www.ineight.com, "That information is very loosely structured; it is not a uniform format. It is very difficult for computers to then mine that historical information."

Throughout the centuries, humans have made tremendous leaps forward in the way we build, interact, and communicate with each other and the world. More recently, we've shifted self-execute industrialization to the age of information. We now have a seemingly unlimited amount of knowledge available at our fingertips. Technological advances are now accelerating faster than ever before. As technology continues to evolve, we can expect it to impact all aspects of our lives and society as a whole.

Across all industries, technologies like automation, artificial intelligence (AI) and machine learning are improving processes, increasing efficiency and aiding decision-makers. As these tools evolve and become even more advanced, there will be a greater number of potential applications across more fields, including the nonprofit sector. We asked a panel of Forbes Nonprofit Council members how they foresee this cutting-edge technology impacting their operations in the next five years. Here are their predictions for a nonprofit world powered by automation and AI. As online platforms grow in sophistication, it will be easier and easier to automate donor communications that feel personalized and authentic.