This op-ed was originally published in Newsweek on November 20, 2019. At least to some extent in last Wednesday's Democratic debate, and more so in the earlier ones, candidates have offered soundbites touting crowd-pleasing "silver bullet" proposals to raise earnings and reduce inequality among US workers. To improve workers' skills, Bernie Sanders and Elizabeth Warren call for free college for all. To raise wages, many call for a rapid increase in the federal minimum wage to $15 an hour as well as resurgent unionism. And Andrew Yang continues to call for "universal basic income" in response to potentially large-scale job displacement from automation.

The development and use of Artificial Intelligence (AI) will have both social and ethical impact. Because this technology has consequences for society, these are also key topics that need to be addressed by researchers and policymakers. And right now, the European Union is funding two projects addressing these issues under the "Science for and with Society" funding scheme: SIENNA and SHERPA, that will bring results that can help shape the ethical framework on new technological developments. During the workshop, participants will discuss a variety of topics, ranging from the application and impact of AI, and its social acceptance to standardisation efforts, ethics by design and regulatory options. The workshop is tailored to offer scientific support to policymakers to help them make informed decisions regarding the deployment and development of AI in EU funded projects.

Cylance is one of the fastest growing companies in the history of cybersecurity. By successfully applying artificial intelligence and machine learning to crack the DNA of malware, Cylance has redefined the endpoint protection market, garnered acclaim from industry analysts and won numerous awards including "Best Emerging Vendor" from SC Magazine. If you have the passion and desire to disrupt industries, protect the world from cyberattacks, and be at the forefront of a revolutionary new technology, we want you to join us! Cylance is seeking a ThreatZERO Security Consultant to deliver security services and work with customers to operationalize and optimize CylancePROTECT in the customer environment. This position will require minimal travel (less than 25%) for quarterly meetings.

In'The Terminator' series of action films starring Arnold Schwarzenegger, a cybernetic organism (cyborg) is programmed from the future to go back in time and kill the mother of the scientist who leads the fight against Skynet, an artificial intelligence system that will cause a nuclear holocaust. Terrifying and at times comical ("I'll be back", "Make my day") The Terminator cyborg was among the first presentations of artificial intelligence (AI) to a global audience. While numerous facets of AI have been developed over the past couple of decades, all with positive outcomes, the fear of AI being programmed to do something devastating to the human race, of computers "going rogue", continues to persist. On the other hand, AI holds tremendous potential for benefiting humanity in ways we are only just starting to recognize. This article gives an overview of artificial intelligence including some of its most interesting manifestations. The first step is defining what we mean by artificial intelligence. One definition of AI is "the simulation of human intelligence processes by machines, especially computers." Such processes include learning by acquiring information, understanding the rules around using that information, employing reasoning to reach conclusions, and self-correcting.

Almost every business leader I know has begun to -- or is pondering the best way to -- incorporate artificial intelligence (AI) into their 2020 growth plan. Clearly, AI is sweeping the globe and "helping to drive the next great economic expansion," as Deloitte noted in its 2019 international survey of AI's early adopters. Nearly two-thirds of the executives surveyed for the report said AI technology is "very" or "critically" important to the success of their businesses, and most said that AI will help them move ahead of competitors who have been slower to adopt the technologies. Large companies are all over it, using AI to win customer loyalty by creating highly personalized experiences. Can startups and other small firms use AI and advanced analytics effectively without wasting precious time and money on technologies that even the experts are still working to operationalize?

Cybersecurity is at an inflection point entering 2020. Advances in AI and machine learning are accelerating its technological progress. Real-time data and analytics are making it possible to build stronger business cases, driving higher adoption. Cybersecurity spending has rarely been linked to increasing revenues or reducing costs, but that's about to change in 2020. Interested in what the leading cybersecurity experts are thinking will happen in 2020.

Today, Mozilla and the German Ministry for Economic Cooperation and Development (BMZ) have announced to join forces in the collection of open speech data in local languages, as well as the development of local innovation ecosystems for voice-enabled products and technologies. The initiative builds on the pilot project, which our Open Innovation team and the Machine Learning Group started together with the organization "Digital Umuganda" earlier this year. The Rwandan start-up collects language data in Kinyarwanda, an African language spoken by over 12 million people. Further languages in Africa and Asia are going to be added. Mozilla's projects Common Voice and Deep Speech will be the heart of the joint initiative, which aims at collecting diverse voice data and opening up a common, public database.

Massachusetts State Police (MSP) has been quietly testing ways to use the four-legged Boston Dynamics robot known as Spot, according to new documents obtained by the American Civil Liberties Union of Massachusetts. And while Spot isn't equipped with a weapon just yet, the documents provide a terrifying peek at our RoboCop future. The Spot robot, which was officially made available for lease to businesses last month, has been in use by MSP since at least April 2019 and has engaged in at least two police "incidents," though it's not clear what those incidents may have been. It's also not clear whether the robots were being operated by a human controller or how much autonomous action the robots are allowed. MSP did not respond to Gizmodo's emails on Monday morning.

Could the same computer algorithms that teach autonomous cars to drive safely help identify nearby asteroids or discover life in the universe? NASA scientists are trying to figure that out by partnering with pioneers in artificial intelligence (AI)--companies such as Intel, IBM and Google--to apply advanced computer algorithms to problems in space science. Machine learning is a type of AI. It describes the most widely used algorithms and other tools that allow computers to learn from data in order to make predictions and categorize objects much faster and more accurately than a human being can. Consequently, machine learning is widely used to help technology companies recognize faces in photos or predict what movies people would enjoy.

Of all the emerging technologies that will change our daily lives, none has more transformative potential than artificial intelligence. And AI -- the use of computers to solve problems that would normally require natural, or human, intelligence -- will also have a profound effect on the global balance of economic and military power. It will change how societies are governed and people are ruled. Debates about whether China or the U.S. will dominate the 21st century are thus necessarily debates about who will lead in AI innovation, and whether democratic or authoritarian systems are better suited to that challenge. A new report from the bipartisan National Security Commission on Artificial Intelligence contains reason for cautious optimism on that latter question, even as it reminds us that an authoritarian China will be a formidable competitor indeed.