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.
One of the hot topics at SXSW this year is Artificial Intelligence and its impact on humans, society and work. Deep learning evolved so fast the past year that there are numerous new applications and tools arising that benefit from and use this new technology. In the panel discussion, 'AI the future of storytelling, 'AI the future of storytelling', industry leaders discussed their take on the topic. One of the most interesting stories around AI is the Portrait of Edmond Belamy, which was recently sold at Christie's for 432,000 dollars. The painting, however, is not the product of a human painter.
According to lexico.com, the definition of artificial intelligence (AI) is "The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages." For this passage, I would like to place emphasis on the phrase "…tasks normally requiring human intelligence…" to illustrate my point of view on how coaching is an indispensable means of ensuring that people can work with artificial intelligence in a satisfied and sustainable manner. My contention is that AI can create uncertainty and a certain level of fear with people who are not familiar with all the detail. I conducted my own qualitative research to explore new work-driven coaching methodologies. My context was job satisfaction, adaptability and efficiency, and I tried to find a way of optimizing the speed and comfort of adaption to change and the solving of complex problems.
In June, researchers at MIT and Brown University revealed their latest creation: Northstar. The system uses artificial intelligence (AI) and machine learning to allow users to effortlessly work with data within their organizations. Possible use cases are already promising. According to TechCrunch, Northstar can help doctors interpret patterns in patients' medical histories to help them get better care. For small business owners who could never afford to hire a dedicated data scientist, Northstar can help unlock hidden data, empowering businesses to create more accurate forecasts that support healthy growth.
Empowering the human is a piece of the puzzle often missing from the fast-paced tech world but remains one of the most important drivers of success and true disruption. Think about the people behind the companies creating or using the most innovative technologies--even the biggest businesses rely on human creativity and emotional intelligence as much as they rely on technological development to survive, let alone thrive in the digital age. These are all digital advancements that are discussed in the context of technology and the sheer computational power of the machine. But what many business leaders fail to understand is that machines can't solve problems alone. Machines are the enabler, but without situational context and logic, these technologies can never serve as a replacement for humans.
The close of Act II Scene ii, and Hamlet questions how the performers in a play about the siege of Troy are able to convey such emotion -- feel such empathy -- for the stranger queen of an ancient city. The construct here is complex. It is no coincidence that in this same work we find perhaps the earliest use of the term "my mind's eye," heralding a shift in theatrical focus from traditions of enacted disputes, lovers passions, and farce, to more a more nuanced kind of drama that issues from psychological turmoil. Hamlet is generally considered to be a work of creative genius. For many laboring in the creative arts, works like this and those in its broader category serve as aspirational benchmarks.
AI hype is coming to a point where action, not talk, is needed. Scaremongering stories that AI is a faceless mechanism to cut jobs to improve the bottom line have done little for its reputation. There are exaggerated fears on one hand, and inflated expectations of what it can do on the other, but this is a far cry from what it can actually achieve today. AI is a set of general purpose technologies, ranging from Natural Language Processing (NLP), to image recognition, to the application of machine learning to data and large quantities of unstructured data. Customer experience, along with automotive and health, are key applications, taking AI beyond its hype.
NEORIS, a tech consultancy that accelerates the digital capabilities of enterprises, today announced their global partnership with Neo4j, the leader in graph databases, to deliver unparalleled insights and capabilities to their clients around the world. The NEORIS Augmented Intelligence Platform now integrates Neo4j's leading graph database technology into its Knowledge Fabric Layer, enabling more intuitive data analysis and machine learning capabilities which are augmented by connected data for deeper insights, The platform serves as the key strategic enabler of NEORIS' recently launched Augmented Intelligence Practice by accelerating an enterprise's time to actionable insights. The Augmented Intelligence Platform is composed of four logical layers, namely Information Harvesting, Knowledge Fabric, Enterprise AI, and Human-centered Interfaces, for a complete framework that is poised to accelerate the deployment of next-generation, graph-powered AI digital solutions. "Artificial intelligence continues its push into areas such as smart supply-chains, advanced fraud management, risk management, regulatory compliance and delivering hyper-personalized products and services. The convergence of AI, graph technology and analytics provides an immense opportunity to develop learning applications grounded in the context of connected data, and thus capable of situational awareness. Aggregating large amounts of data across organizational silos, establishing intelligent relationships and connecting this knowledge with advanced AI models are redefining businesses," said Anthony DeLima, Global CTO and Head of NEORIS U.S. "We are excited about this partnership for many reasons, but most notably because it will enable us to work with our clients to deliver an entirely new generation of solutions that augment human thinking and decision-making."
These tasks are modelled on a system of very famous mathematical equations -- partial differential equations (PDE). PDEs are the class of equations which describe everything smooth and continuous in the physical world, and the most common class of simulation problems in science and engineering. Solving computation hungry PDEs takes a toll even on supercomputers. And, we just can't tweak in the hardware (shrink transistors) for reducing the time consumed, a theory complemented by Moore's law. However, there is still a glimmer of hope.
SciTech Europa delves into the world of AI, defining what it means, giving examples of the real-life applications, and discussing the ethical questions it prompts. The computer scientist John McCarthy coined the term Artificial Intelligence in 1956, and defines the field of artificial intelligence as "the science and engineering of making intelligent machines." As well as the term for the scientific discipline, artificial intelligence refers to the intelligence of a machine, program, or system, in contrast to that of human intelligence. Alessandro Annoni, the head of the European Commission's Joint Research Centre, spoke at the Science Meets Parliaments conference at the European Parliament, Brussels in February 2019. He said: "Artificial intelligence should not be considered a simple technology…it is a collection of technologies. It is a new paradigm that is aiming to give more power to the machine. It's a technology that will replace humans in some cases."
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.