"Jacob Javits of New York is the first United States senator to become fully automated," the Chicago Tribune announced in 1962 from the Republican state convention in Buffalo, where an electronic Javits spat out slips of paper with answers to questions about everything from Cuba's missiles ("a serious threat") to the Cubs' prospects (dim). Javits also harbors thoughts on medical care for the elderly, Berlin, the communist menace," and more than a hundred other subjects, the Tribune reported after an interview with the machine. Javits may have been the first automated American politician, but he wasn't the last. Since the nineteen-sixties, much of American public life has become automated, driven by computers and predictive algorithms that can do the political work of rallying support, running campaigns, communicating with constituents, and even crafting policy. In that same stretch of time, the proportion of Americans who say that they trust the U.S. government to do what is right ...

Automation is good, so long as you know exactly where to put the machine.

Stone once described arms races as the inevitable product of there being "no limit to the ingenuity of science and no limit to the deviltry of human beings." This dark truth about the era of human-controlled "kinetic" weapons of mass destruction that so concerned Stone remains true today of the emerging range of increasingly automated systems that may now be fusing scientific ingenuity with a silicon-based deviltry of all its own. For most of history, from stones to siege guns, warfare consisted of hurling some amount of mass with sufficient energy to do serious harm. The general trend has been toward increasing mass and energy, giving weapons greater range. Yet, until the first automated guidance systems came into play during World War II, the "information content" of weaponry was quite small, reducing accuracy.

Few topics are more worthwhile to read up on than artificial intelligence. In late 2019, we published "7 Classic Books To Deepen Your Understanding Of Artificial Intelligence." It's time to run it back. Here are 7 more thought-provoking books that explore the technology, business, politics, and ethics of artificial intelligence. Few topics are more important to be well-informed and thoughtful about in the twenty-first century.

The twenty-first century has seen a technological revolution. Several highly commercial and widely used technologies from the early 2000s have completely vanished, and other ones have replaced them. In 2021, many latest technologies will emerge, particularly in the fields of computer science and engineering. These latest technologies are only going to get better in 2021, and they may even make it into the hands of the average individual. These are the key trends or latest technologies to look at whether you're a recent computer science graduate or a seasoned IT professional.

Data will control the twenty-first century. Every company, big or small, is attempting to use data to their advantage. Data-driven insights could aid businesses in transforming and targeting new markets, addressing customer pain points, increasing revenue, and more. As a result, a growing number of companies are concentrating on data collecting, interpretation, and application. of India sees significant digitisation of its industries and services, making it the second-largest data science hub. Analysts estimate that by 2026, the country will have around 11 million job openings.

Hallam is an Associate Professor in the History Programme and in the School of Biological Sciences at Nanyang Technological University in Singapore. Daniel is an external PhD candidate at eLaw -- Center for Law and Digital Technologies, Leiden University, the Netherlands. This essay is part of our ongoing "AI Lexicon" project, a call for contributions to generate alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. Much of the history, meaning, and imagination of AI is discussed in relation to the West, often against a backdrop of cybernetics, "AI winters," and Terminator androids. These narratives inform how we understand the risks and "social good" of AI.

Every year I travel the world as part of my job to discover, discuss and share the future with people from all walks of life. And what I found is this: the future is likely to be better than we think – but we need to design and govern it wisely! Just two decades in, the twenty-first century has already presented us with a massive economic crash, geopolitical quagmires and worrisome swings towards popularism. This may not be the optimal context for heralding a New Renaissance - but then again, the original renaissance wasn't born in idyllic circumstances either. Rather, it was a literal rebirth of human culture.

It's often said that data is the oil of the twenty-first century, and artificial intelligence is the driving force. Companies in all sectors are combining the reasoning abilities of the human mind with the processing power of computers, developing algorithms that can trawl through colossal data sets to help businesses make more informed decisions. That means that tomorrow's future business leaders need more than a passing familiarity with AI. For this reason, several of the world's best business schools have launched specialist master's programs in AI. Canada's Smith School of Business, the University of Bologna in Italy, and Imperial College London are among the top-tier institutions running AI MSc courses that give students the technical, managerial and interpersonal skills they need to master machines.

The concepts of hybrid threat and hybrid warfare are, presently, key concepts within strategic studies1 and intelligence studies2, with a core relevance in the new defense and security context that was enabled by the twenty-first century's Fourth Industrial Revolution, driven by the synergization of cyberspace and artificial intelligence (AI), fueled by the accelerated and disruptive exponential expansion of machine learning (ML) [1, 2, 3]. Cyber operations, presently, constitute a key determinant component of hybrid strategies and tactics that configure the profile of hybrid threats and hybrid warfare [1]. Hybrid strategies, in the twenty-first century, involve the use of Information and Communication Technology (ICT) and AI tools to combine conventional and unconventional operations, amplifying the impact of these operations [1, 2, 3]. In the current context of hybrid operations, there are, presently, three major dimensions of hybrid strategic power, understood as the ability to achieve one's strategic goals through hybrid operations, and these are: The first type of power is enabled by social networks and the ability to use cyberspace for propaganda, disinformation, and viral campaigns in what constitutes a form of information-based warfare as well as for implementing cyberattacks that can disrupt different sectors as well as stealing (and possibly leaking) of critical data. The second type of power involves the use of AI, in particular ML tools, as support tools for different cyber operations that may, in turn, support hybrid strategies.