Can Computers be Creative? How? How can [a creative idea] arise, then, if not by magic? And how can one impossible idea be more surprising, more creative, than another? How can creativity happen?
– from Margaret Boden. Creativity and Unpredictability. Stanford Electronic Humanities Review 4(2), 1995.
Since the dawn of the first industrial revolution, machines have largely been used to improve efficiency. We've now entered the Fourth Industrial Revolution – an era in which machines will become smart, self-optimizing themselves and the systems in which they operate. It's a shift that's shaping many of the megatrends we've identified that are in turn changing how the world works. Some have seen this as the rise of the robots – a dystopian future of mass unemployment and dehumanization as intelligent machines do away with the need for people. But history suggests that while new technologies may end the need for human involvement in some tasks, it will usually also enable the creation of entirely new jobs – even entirely new industries.
The world of artificial intelligence is changing, adapting, and developing new technologies every day. Technology advancements that were once thought to be the stuff of science fiction are now commonplace; this sort of rapid technology development will only continue to grow as teams of scientists, technicians, and others working in the artificial intelligence fieldwork on new and exciting projects. The wearable AI market is predicted to rise from USD 35 billion in 2018 to around USD 180 billion by 2025, according to a 2019 Global Market Insights, Inc. report. One of the more exciting and daunting possibilities in the relatively near future is the idea that wearable artificial intelligence may someday change our lives–and our intelligence–forever. Let's take a closer look at the possibilities behind wearable AI and how it will change the world as we know it.
RADIUS guest contributor Gary Grossman currently leads the Edelman AI Center of Excellence. As part of that, he led development of the 2019 Edelman Artificial Intelligence Survey that can be viewed here. Just how important is artificial intelligence (AI)? Microsoft's Chief Envisioning Officer, Dave Coplin, said recently that AI is "the most important technology that anybody on the planet is working on today." A PwC report estimates that global GDP will be 14 percent higher in 2030 as a result of AI--the equivalent of $15.7 trillion, which is more than the current output of China and India combined.
Artificially intelligent systems are slowly taking over tasks previously done by humans, and many processes involving repetitive, simple movements have already been fully automated. In the meantime, humans continue to be superior when it comes to abstract and creative tasks. However, it seems like even when it comes to creativity, we're now being challenged by our own creations. In the last few years, we've seen the emergence of hundreds of "AI artists." These complex algorithms are creating unique (and sometimes eerie) works of art.
We are living in interesting times, where digital assistants schedule meetings, chatbots work alongside humans as teaching assistants, and your suitcase can now become self driving luggage as showcased at CES, 2018. The implications are just starting to be felt in the workplace. In 2017, I wrote about how The Employee Experience is the Future of Work. Now, as we enter 2018, the next journey for HR leaders will be to leverage artificial intelligence combined with human intelligence and create a more personalized employee experience. As we increase our personal usage of chatbots (defined as software which provides an automated, yet personalized, conversation between itself and human users), employees will soon interact with them in the workplace as well.
Artificial intelligence is spreading through our lives. As it moves from new feeds to productivity tools, the boundary between what is human-made and machine-made is becoming almost invisible, resulting in vast shifts in how we perceive and interact with the world. AI has surprised us with how it can move, see and hear, but also, with what it can create. Once thought of as a solely human trait, creativity is now a debated topic. Or is a thought process constrained by what us humans define it as?
Data is known to have been used to drive business performance since Taylor and Ford started measuring and optimising the output of assembly lines in the late 1800s. The importance of the analysis of data to support decision-making, referred to interchangeably as business or data analytics, has grown and continues to grow proportionally to our ability to store and process data. The volume, velocity and variety of data being processed in organisations has increased substantially. By one estimate, 90 per cent of the data that exists today has been produced over the last two years. This paradigm shift requires a fresh outlook.
SEOUL, South Korea – North Korea has labeled Joe Biden a "fool of low IQ" and an "imbecile bereft of elementary quality as a human being" after the Democratic presidential hopeful during a recent speech called North Korean leader Kim Jong Un a tyrant. Pyongyang's official Korean Central News Agency on Wednesday accused Biden of insulting the country's supreme leadership and committing an "intolerable and serious politically-motivated provocation" against the North. Biden during a campaign launch in Philadelphia on Saturday accused President Donald Trump of cozying up to "dictators and tyrants" like Kim and Russian President Vladimir Putin.
Abstract: This paper demonstrates emergence of computational creativity in the field of music. Different aspects of creativity such as producer, process, product and press are studied and formulated. Different notions of computational creativity such as novelty, quality and typicality of compositions as products are studied and evaluated. We formulate an algorithmic perception on human creativity and propose a prototype that is capable of demonstrating human-level creativity. We then validate the proposed prototype by applying various creativity benchmarks with the results obtained and compare the proposed prototype with the other existing computational creative systems. I. INTRODUCTION Computational creativity is the modeling or replicating human creativity computationally. Traditionally computational creativity has focused more on creative systems' products or processes, though this focus has widened recently. Research on creativity offers four Ps of creativity (Rhodes, 1961; MacKinnon, 1970; Jordanous, 2016). These four P's are: 1. Person/Producer: a creative agent 2. Process: an activity done by the creative agent 3. Product: the product of the creative process 4. Press/Environment: the overall environment of creativity 110 The proposed methodology addresses all the four P's of creativity unlike most of recent works, which focus on these individually (Saunders, 2012; Gervas & Leon, 2014; Misztal & Indurkhya, 2014; Sosa & Gero, 2015; Besold & Plaza, 2015; Harmon, 2015). Figure 1 gives a simplified view of proposed computational creative system in the context of four P's of creativity.
The game of Go played between a DeepMind computer program and a human champion created an existential crisis of sorts for Marcus du Sautoy, a mathematician and professor at Oxford University. "I've always compared doing mathematics to playing the game of Go," he says, and Go is not supposed to be a game that a computer can easily play because it requires intuition and creativity. So when du Sautoy saw DeepMind's AlphaGo beat Lee Sedol, he thought that there had been a sea change in artificial intelligence that would impact other creative realms. He set out to investigate the role that AI can play in helping us understand creativity, and ended up writing The Creativity Code: Art and Innovation in the Age of AI (Harvard University Press). The Verge spoke to du Sautoy about different types of creativity, AI helping humans become more creative (instead of replacing them), and the creative fields where artificial intelligence struggles most.